004 Datenverarbeitung; Informatik
Refine
Has Fulltext
- yes (285)
Year of publication
Document Type
- Journal article (127)
- Doctoral Thesis (80)
- Working Paper (37)
- Preprint (19)
- Conference Proceeding (9)
- Jahresbericht (5)
- Master Thesis (4)
- Report (3)
- Other (1)
Language
- English (257)
- German (27)
- Multiple languages (1)
Keywords
- virtual reality (16)
- Datennetz (14)
- Leistungsbewertung (13)
- Quran (8)
- Robotik (8)
- Koran (7)
- Mobiler Roboter (7)
- Text Mining (7)
- Autonomer Roboter (6)
- Simulation (6)
- Computer Center University of Wuerzburg (5)
- Jahresbericht (5)
- Komplexitätstheorie (5)
- Maschinelles Lernen (5)
- Netzwerk (5)
- Optimierung (5)
- P4 (5)
- Theoretische Informatik (5)
- Visualisierung (5)
- annual report (5)
- artificial intelligence (5)
- machine learning (5)
- Drahtloses Sensorsystem (4)
- Modellierung (4)
- Optimization (4)
- Overlay-Netz (4)
- RZUW (4)
- Routing (4)
- SDN (4)
- Verteiltes System (4)
- XML (4)
- augmented reality (4)
- database (4)
- deep learning (4)
- human-computer interaction (4)
- Algorithmus (3)
- Approximationsalgorithmus (3)
- Bayesian classifier (3)
- Computer Vision (3)
- Computersimulation (3)
- Data Mining (3)
- Deep learning (3)
- Dienstgüte (3)
- Graph (3)
- Graphenzeichnen (3)
- IoT (3)
- Julius-Maximilians-Universität Würzburg (3)
- Komplexität (3)
- Künstliche Intelligenz (3)
- Lokalisation (3)
- Machine Learning (3)
- Mensch-Maschine-Schnittstelle (3)
- Netzwerkmanagement (3)
- Peer-to-Peer-Netz (3)
- Performance Evaluation (3)
- QoE (3)
- Quadrocopter (3)
- Quality of Experience (3)
- Rechenzentrum (3)
- Rechnernetz (3)
- Ressourcenmanagement (3)
- Robotics (3)
- Software Engineering (3)
- Softwarearchitektur (3)
- Textvergleich (3)
- Visualization (3)
- Wissensmanagement (3)
- approximation algorithm (3)
- crowdsensing (3)
- graph drawing (3)
- immersion (3)
- mHealth (3)
- neural networks (3)
- resistance (3)
- simulation (3)
- 5G (2)
- Algorithmische Geometrie (2)
- Ausfallsicheres System (2)
- Ausfallsicherheit (2)
- Base text (2)
- Benutzerschnittstelle (2)
- CSS (2)
- Cascading Style Sheets (2)
- Content Management (2)
- Crowdsourcing (2)
- Dot-Depth Problem (2)
- Drahtloses lokales Netz (2)
- Effizienter Algorithmus (2)
- Entscheidbarkeit (2)
- Entscheidungsfindung (2)
- Fernwartung (2)
- Future Internet (2)
- Gothenburg model (2)
- Human-Robot-Interaction (2)
- IEEE 802.11 (2)
- IT Security (2)
- IT-Sicherheit (2)
- Internet of Things (2)
- Kleinsatellit (2)
- Knowledge Management (2)
- Kreuzung (2)
- Localization (2)
- MP-DCCP (2)
- Maschinelles Sehen (2)
- Mehragentensystem (2)
- Mensch-Maschine-System (2)
- Mensch-Roboter-Interaktion (2)
- Meta-model (2)
- Mixed Reality (2)
- Multimedia (2)
- Mustererkennung (2)
- NP-hardness (2)
- PROLOG <Programmiersprache> (2)
- Programmierbare logische Anordnung (2)
- Punktwolke (2)
- Quadrotor (2)
- Resilience (2)
- Resource Management (2)
- Satellit (2)
- Situation Awareness (2)
- Software Defined Networking (2)
- Teleoperation (2)
- Text mining (2)
- Textual alterations weighting system (2)
- Textual document collation (2)
- Theoretical Computer Science (2)
- User Interface (2)
- Verbotsmuster (2)
- Wissensrepräsentation (2)
- Wrapper <Programmierung> (2)
- XR (2)
- automation (2)
- connected mobility applications (2)
- cosmology (2)
- crossing minimization (2)
- decidability (2)
- design (2)
- dot-depth problem (2)
- education (2)
- educational tool (2)
- endliche Automaten (2)
- endoscopy (2)
- engineering (2)
- evolution (2)
- exposure (2)
- finite automata (2)
- fog computing (2)
- forbidden patterns (2)
- framework (2)
- fully convolutional neural networks (2)
- games (2)
- gastroenterology (2)
- genetics (2)
- historical document analysis (2)
- immersive technologies (2)
- knowledge representation (2)
- measurements (2)
- metabolic modeling (2)
- mobile networks (2)
- mobile robots (2)
- multipath (2)
- multipath scheduling (2)
- natural variation (2)
- navigation (2)
- network calculus (2)
- networks (2)
- ontology (2)
- perception (2)
- prediction (2)
- regular languages (2)
- reguläre Sprachen (2)
- satellite communication (2)
- scalability (2)
- scheduling (2)
- segmentation (2)
- self-aware computing (2)
- sensor (2)
- smart speaker (2)
- spatial presence (2)
- tinnitus (2)
- virtual agent (2)
- virtual environments (2)
- 26S RDNA Data (1)
- 3D Laser Scanning (1)
- 3D Pointcloud (1)
- 3D Punktwolke (1)
- 3D Reconstruction (1)
- 3D Sensor (1)
- 3D Vision (1)
- 3D collation (1)
- 3D fluoroscopy (1)
- 3D point cloud (1)
- 3D thermal mapping (1)
- 3D viewer (1)
- 3D-Rekonstruktion (1)
- 3D-reconstruction methods (1)
- 3DTK toolkit (1)
- 4D-GIS (1)
- 4G Networks (1)
- 5G core network (1)
- 5G-ATSSS (1)
- 5GC (1)
- 6DOF Pose Estimation (1)
- 6G (1)
- ACKR4 (1)
- AI (1)
- AKT (1)
- ATSSSS (1)
- AVA (1)
- Abhängigskeitsgraph (1)
- Ablaufplanung (1)
- Accessibility (1)
- Add-on-Miss (1)
- Admission Control (1)
- Agent <Informatik> (1)
- Agent <Künstliche Intelligenz> (1)
- Agent-based Simulation (1)
- Agentbased System (1)
- Agenten-basierte Simulation (1)
- Analysis (1)
- Anforderungsmanagement (1)
- Angewandte Informatik (1)
- Annotation (1)
- Anwendung (1)
- Anwendungsfall (1)
- Approximation (1)
- Arctic (1)
- Arterie (1)
- Artery (1)
- Aufsatzsammlung (1)
- Aufwandsanalyse (1)
- Automat <Automatentheorie> (1)
- Automata Theory (1)
- Automatentheorie (1)
- Automatisierte Prüfungskorrektur (1)
- Autonomer Agent (1)
- Autonomie (1)
- Autonomous Robot (1)
- Autonomous UAV (1)
- Autonomous multi-vehicle systems (1)
- Autorotation (1)
- BPM (1)
- BPMN (1)
- Backbone-Netz (1)
- Background Knowledge (1)
- Balloon (1)
- Banks Islands (1)
- Barcodes (1)
- Bayes-Klassifikator (1)
- Benutzererlebnis (1)
- Benutzerforschung (1)
- Benutzerinteraktion (1)
- Berechenbarkeit (1)
- Berechnungskomplexität (1)
- Bernoulli stochastics (1)
- Bernoulli-Raum (1)
- Bernoullische Stochastik (1)
- Bernoullispace (1)
- Betriebssystem (1)
- Bewegungsablauf (1)
- Bewegungskompensation (1)
- Bewegungskoordination (1)
- Bewegungsplanung (1)
- Bildverarbeitung (1)
- Biological Networks (1)
- Biology (1)
- Bit Parallelität (1)
- BitTorrent (1)
- Bodenstation (1)
- Boolean Grammar (1)
- Boolean equivalence (1)
- Boolean function (1)
- Boolean functions (1)
- Boolean hierarchy (1)
- Boolean isomorphism (1)
- Boolean tree (1)
- Boolesche Funktionen (1)
- Boolesche Grammatik (1)
- Boolesche Hierarchie (1)
- Brüder Grimm Privatbibliothek (1)
- Business Intelligence (1)
- CASE (1)
- CD4+T cells (1)
- CD8+T cells (1)
- CD95 (1)
- CETCH cycle (1)
- CHI Conference (1)
- CLIP (1)
- CO2-sequestration (1)
- COVID-19 (1)
- Caenorhabditis elegans (1)
- Calibration (1)
- Call Graph (1)
- Causes of revelation (1)
- Chapters arrangement (1)
- Charged aerosol detector (CAD) (1)
- Chord (1)
- Chronology of revelation (1)
- Clones (1)
- Cloud Gaming (1)
- Clustering (1)
- Colonial volvocales chlorophyta (1)
- Communication Networks (1)
- Complex Systems (1)
- Complexity Theory (1)
- Compression (1)
- Computational Geometry (1)
- Computational complexity (1)
- Computer software (1)
- Computerspiel (1)
- Computerunterstütztes Lernen (1)
- Computervirus (1)
- Containerization (1)
- Content Distribution (1)
- Convolutional Neural Network (1)
- Cost Analysis (1)
- Crowdsensing (1)
- CubeSat (1)
- DHT (1)
- DNA (1)
- DNA storage (1)
- Daedalus-Projekt (1)
- Dasycladales chlorophyta (1)
- Databases (1)
- Datenbanken (1)
- Datenbasis (1)
- Datenkommunikationsnetz (1)
- Datenübertragung ; Datensicherung ; Informationstechnik ; Internet ; Computersicherheit (1)
- Deep Georeferencing (1)
- Deep Learning (1)
- Dependency Graph (1)
- Design (1)
- Design and Development (1)
- Dezentrale Regelung (1)
- Diagnosesystem (1)
- Dichotomy (1)
- Dienstleistungen (1)
- Digital Elevation Model (1)
- Digitalisierung (1)
- Dijkstra’s algorithm (1)
- Diskrete Simulation (1)
- Distributed Space Systems (1)
- Domänenspezifische Sprache (1)
- Dot-Depth-Hierarchie (1)
- Drahtloses vermaschtes Netz (1)
- Dreidimensionale Rekonstruktion (1)
- Dreieck (1)
- Dynamic Environments (1)
- Dynamic Memory Management (1)
- Dynamische Speicherverwaltung (1)
- E8 symmetry (1)
- EEG (1)
- EEG frequency band analysis (1)
- EEG preprocessing (1)
- EEG processing (1)
- EPM (1)
- Echtzeitsystem (1)
- Echzeit (1)
- Edge-MEC-Cloud (1)
- Edge-based Intelligence (1)
- Educational Measurement (I2.399) (1)
- Eingebettetes System (1)
- Elasticity tensor (1)
- Elastizitätstensor (1)
- Embedded Systems (1)
- Emotion inference (1)
- Emotionserkennung (1)
- Emotionsinterpretation (1)
- Endnutzer (1)
- Endpoint Mobility (1)
- Energieeffizienz (1)
- Energy efficiency (1)
- Entscheidungsträger (1)
- Erfüllbarkeitsproblem (1)
- Erkennung handschriftlicher Artefakte (1)
- Erweiterte Realität (1)
- Ethik (1)
- Euclidean plane (1)
- Euklidische Ebene (1)
- Expert System (1)
- Expertensystem (1)
- FIFO caching strategies (1)
- FLIMbee (1)
- Fachgespräch (1)
- Fahrsimulation (1)
- Fahrsimulator (1)
- Fairness (1)
- Fallstudie (1)
- Fatty acids (1)
- Feature Based Registration (1)
- Feature-Matching (1)
- Fehlertoleranz (1)
- Feldprogrammierbare Architekturen (1)
- Fernsteuerung (1)
- Field programmable gate array (1)
- Field-programmable Gate Arrays (1)
- Firewall (1)
- Flugkörper (1)
- Forces (1)
- Formale Sprache (1)
- Formation (1)
- Formation Flight (1)
- Formationsbewegung (1)
- Formmessung (1)
- Forschung (1)
- Fragmentation (1)
- Fragmentierung (1)
- Frames (1)
- Frühdruck (1)
- Funkressourcenverwaltung (1)
- GNSS/INS integrated navigation (1)
- Gastroenterologische Endoskopie (1)
- Gay-Array-Bauelement (1)
- Gefühl (1)
- Generalisierung <Kartografie> (1)
- Generation Problem (1)
- Generierungsproblem (1)
- Genetic Optimization (1)
- Genetische Optimierung (1)
- Georeferenzierung (1)
- Gllobal self-localisation (1)
- Globale Selbstlokalisation (1)
- Gothenburg Modell (1)
- Gothenburg model of collation process (1)
- Gradient boosted trees (GBT) (1)
- Graphentheorie (1)
- Grimm brothers personal library (1)
- Ground Station Networks (1)
- H.264 SVC (1)
- H.264/SVC (1)
- HGPS (1)
- HHblits (1)
- HMD (Head-Mounted Display) (1)
- HSPA (1)
- HTML (1)
- HTTP adaptive video streaming (1)
- Halbordnungen (1)
- Handschrift (1)
- Hardware (1)
- Herzkatheter (1)
- Herzkathetereingriff (1)
- Hierarchische Simulation (1)
- High-performance liquid chromatography (HPLC) (1)
- Hintergrundwissen (1)
- Historical Maps (1)
- Historische Karte (1)
- Historische Landkarten (1)
- Hittitology (1)
- Hochschulnetz (1)
- Hospital (1)
- Human-centered computing / Access (1)
- Human-centered computing / Human computer interaction (HCI) / Interaction paradigms / Mixed / augmented reality (1)
- Human-centered computing / Human computer interaction (HCI) / Interaction paradigms / Virtual reality (1)
- Human-centered computing / Human computer interaction (HCI) / Interactiondevices (1)
- Human-centered computing / Human computerinteraction (HCI) / Interaction techniques (1)
- Hurwitz theorem (1)
- I-tasser (1)
- ICEP (1)
- IEEE 802.11e (1)
- IEEE 802.15.4 (1)
- IGFBP2 (1)
- III secretion (1)
- INS/LIDAR integrated navigation (1)
- IP (1)
- IT security (1)
- Image Aesthetic Assessment (1)
- Image Registration (1)
- ImageJ (1)
- Implementierung <Informatik> (1)
- Industrial internet (1)
- Industrie 4.0 (1)
- Inferenz <Künstliche Intelligenz> (1)
- Informatik (1)
- Information Extraction (1)
- Information Retrieval (1)
- Information Visualization (1)
- Information-Retrieval-System (1)
- Innovation Management (1)
- Innovationsmanagement (1)
- Instrument Control Toolbox (1)
- Intelligent Virtual Agents (1)
- InteractionSuitcase (1)
- Interaktion (1)
- Internet (1)
- Internet Protokoll (1)
- Invertierte Liste (1)
- IoT-driven processes (1)
- IronChip Evaluation Package (1)
- Isomorphie (1)
- Itinerare (1)
- Itineraries (1)
- JCAS (1)
- JSF (1)
- Jacobian matrix (1)
- Java 3D (1)
- Java <Programmiersprache> (1)
- Java Frameworks (1)
- Java Message Service (1)
- Julius-Maximilians-Universität Würzburg. Rechenzentrum (1)
- Kademlia (1)
- Kanalzugriff (1)
- Karte (1)
- Kartierung (1)
- Kathará (1)
- Kerneldensity estimation (1)
- Klassendiagramm (1)
- Klassifikation (1)
- Klima (1)
- Knowledge Discovery (1)
- Knowledge Management System (1)
- Knowledge Modeling (1)
- Knowledge representation (1)
- Knowledge-based System (1)
- Knowledge-based Systems Engineering (1)
- Kombinatorik (1)
- Kommunikation (1)
- Kommunikationsnetze (1)
- Komplexes System (1)
- Komplexitätsklasse (1)
- Komplexitätsklasse NP (1)
- Konvexe Zeichnungen (1)
- Konzeptsuche (1)
- Kooperierende mobile Roboter (1)
- Krankenhaus (1)
- Kreuzungsminimierung (1)
- Kryoelektronenmikroskopie (1)
- Kurve (1)
- LC-MS/MS (1)
- LFU (1)
- LRU (1)
- Land Cover Classification (1)
- Land plants (1)
- Landkartenbeschriftung (1)
- Landnutzungskartierung (1)
- Laser scanning (1)
- Lava (1)
- Lawhul-Mahfuz (1)
- Learning (1)
- Lee Smolin (1)
- Lehre (1)
- Lernen (1)
- Lidar (1)
- Lifetime spectroscopy (1)
- Lightning (1)
- Link rate adaptation (1)
- Linkratenanpassung (1)
- Linux (1)
- LoRa (1)
- LoRaWAN (1)
- LoRaWan (1)
- Logic Programming (1)
- Logische Programmierung (1)
- Lunar Caves (1)
- Lunar Exploration (1)
- MAC (1)
- MDR (1)
- MTC (1)
- MVC <Software> (1)
- Mackenzie-River-Delta (1)
- Mapping (1)
- Mars (1)
- Mashup (1)
- Mashup <Internet> (1)
- Mathematische Modellierung (1)
- Mathematisches Modell (1)
- Measurement (1)
- Medical Image Analysis (1)
- Medium <Physik> (1)
- Medizin (1)
- Mehrebenensimulation (1)
- Mehrfahrzeugsysteme (1)
- Mehrkriterielle Optimierung (1)
- Mehrpfadübertragung (1)
- Mehrschichtnetze (1)
- Mehrschichtsystem (1)
- Mensch-Maschine-Kommunikation (1)
- Mesh Networks (1)
- Mesh Netze (1)
- Metaverse (1)
- Methode (1)
- Methodologie (1)
- Microarray (1)
- Middleware (1)
- Miniaturisierung (1)
- Minimally invasive vascular intervention (1)
- Missionsbetrieb (1)
- Mobile Roboter (1)
- Mobiles Internet (1)
- Mobilfunk (1)
- Modell (1)
- Modellbasierte Diagnose (1)
- Modellierungstechniken (1)
- Modelling (1)
- Modularität (1)
- Molecular systematics (1)
- Mond (1)
- Motion Planning (1)
- Multi-Agent-Simulation (1)
- Multi-Layer (1)
- Multi-Network Service (1)
- Multi-Netzwerk Dienste (1)
- Multi-Paradigm Programming (1)
- Multi-Paradigm Programming Framework (1)
- Multi-agent system (1)
- Multiagentensimulation (1)
- Multiagentensystem (1)
- Multipath Transmission (1)
- Multiple-Choice Examination (1)
- Multiple-Choice Prüfungen (1)
- Mycoplasma (1)
- Mycoplasma pneumoniae (1)
- NP (1)
- NP-Vollständigkeit (1)
- NP-complete sets (1)
- NP-hartes Problem (1)
- NP-schweres Problem (1)
- Naïve Bayesian (1)
- Network Emulator (1)
- Network Experiments (1)
- Network Management (1)
- Network Measurements (1)
- Network Virtualization (1)
- Networks (1)
- Netzplantechnik (1)
- Netzplanung (1)
- Netzvirtualisierung (1)
- Netzwerkplanung (1)
- Netzwerkvirtualisierung (1)
- Neuromuscular junctions (1)
- Neuronales Netz (1)
- Newton Methods (1)
- Newton-Verfahren (1)
- Next Generation Networks (1)
- Nichtholonome Fahrzeuge (1)
- Nichtlineare Regelung (1)
- Nuclear RDNA (1)
- Object Detection (1)
- Object-Oriented Programming (1)
- Objektorientierte Programmierung (1)
- Open Source (1)
- Operator (1)
- Optical Flow (1)
- Optimale Kontrolle (1)
- Optimierungsproblem (1)
- Optimization on Lie Groups (1)
- Overlapping (1)
- Overlay (1)
- Overlay Netzwerke (1)
- Overlay networks (1)
- Overlays (1)
- P4-INT (1)
- Panorama Images (1)
- Parameterkalibrierung (1)
- Partition <Mengenlehre> (1)
- Partitionen (1)
- Path Computation Element (1)
- Pattern Recognition (1)
- Peer-to-Peer (1)
- Performance Analysis (1)
- Performance Enhancing Proxies (1)
- Performance Management (1)
- Performance Modeling (1)
- Pfadberechnungselement (1)
- Picosatellite (1)
- Place of revelation (1)
- Planare Graphen (1)
- Planausführung (1)
- Planung (1)
- Planungssystem (1)
- Poisson surface reconstruction (1)
- PolSAR (1)
- Polyeder (1)
- Polypektomie (1)
- Positron annihilation spectroscopy (1)
- Post's Classes (1)
- Postsche Klassen (1)
- Prediction (1)
- Process Optimization (1)
- Processing Model (1)
- Processing model (1)
- Profile distances (1)
- Project Management (1)
- Projektmanagement (1)
- Prozessoptimierung (1)
- Publish-Subscribe-System (1)
- QUIC (1)
- QoS (1)
- Quality of Experience (QoE) (1)
- Quality of Experience QoE (1)
- Quality of Service (1)
- Quality of Service (QoS) (1)
- Quality-of-Experience (1)
- Quality-of-Service (1)
- Quality-of-Service (QoS) (1)
- Quantitative structure-property relationship modeling (QSPR) (1)
- Quantor (1)
- RBCL Gene-sequences (1)
- RGB-D (1)
- RNA sequencing (1)
- RRM (1)
- Radarfernerkundung (1)
- Raumdaten (1)
- Real-Time Operating Systems (1)
- Real-time (1)
- Rechenzentrum Universität Würzburg (1)
- Reconstruction of original text (1)
- Refactoring (1)
- Reference Architecture (1)
- Regelbasiertes System (1)
- Regelung (1)
- Registration (1)
- Registrierung (1)
- Registrierung <Bildverarbeitung> (1)
- Reguläre Sprache (1)
- Relief <Geografie> (1)
- Rendezvous (1)
- Reproducibility (1)
- Requirements Management (1)
- Resource and Performance Management (1)
- Ressourcen Management (1)
- Ressourcenallokation (1)
- Rettungsroboter (1)
- Risikomanagement (1)
- Risk Management (1)
- Robot (1)
- Roboter (1)
- Rule-based Systems (1)
- SARS-CoV-2 (1)
- SBA (1)
- SDN/NVF (1)
- SMLM (1)
- SNP (1)
- Scatter Plot (1)
- Scheduling (1)
- Search-and-Rescue (1)
- Secondary structure (1)
- Selbstkalibrierung (1)
- Self-Evaluation Programs (I2.399.780) (1)
- Self-calibration (1)
- Semantic Web (1)
- Semantics (1)
- Semantik (1)
- Sensing-aaS (1)
- Sensor (1)
- Septins (1)
- Service Mobility (1)
- Services (1)
- Sichtbarkeit (1)
- Similarity Measure (1)
- Simulator (1)
- Situationsbewusstsein (1)
- Skype (1)
- Small Satellites (1)
- Smart User Interaction (1)
- Social Web (1)
- Software (1)
- Software Performance Engineering (1)
- Software Performance Modeling (1)
- Software architecture (1)
- Software design (1)
- Software product lines (1)
- Softwareentwicklung (1)
- Source Code Visualization (1)
- Soziale Software (1)
- Spam-Mail (1)
- Spherical Robot (1)
- Spring (1)
- Stages of Prophet Mohammad’s messengership (1)
- Standardisierung (1)
- Standortproblem (1)
- Statistical classifiers (1)
- Statistics (1)
- Statistische Mechanik (1)
- Statistische Physik (1)
- Sternfreie Sprache (1)
- Steuerung (1)
- Stiffness (1)
- Stochastic Algorithms (1)
- Stochastik (1)
- Stochastikon (1)
- Stochastische Optimierung (1)
- Strahlentherapie (1)
- Straubing-Th´erien-Hierarchie (1)
- Straßennetzwerk (1)
- Straßenverkehr (1)
- Structure-from-Motion (1)
- Strukturelle Komplexität (1)
- Struts (1)
- Subgroup Mining (1)
- Subgruppenentdeckung (1)
- Substruktur (1)
- Suchverfahren (1)
- Support Vector Machine (1)
- Synapses (1)
- Synaptic vesicles (1)
- Synthetic Aperture Radar (1)
- System (1)
- Szenariogenerierung (1)
- TSN (1)
- TTL (1)
- TTL validation of data consistency (1)
- Teaching (1)
- Telematik (1)
- Terramechanics (1)
- Testbed (1)
- Text categorization (1)
- Text segmentation (1)
- Theoretical computer science (1)
- Thermografie (1)
- Time resolved measurements (1)
- Tomografie (1)
- Topografie (1)
- Torque (1)
- Trainingssystem (1)
- Travelling-salesman-Problem (1)
- Tumor motion (1)
- Tumorbewegung (1)
- U-Bahnlinienplan (1)
- UI and Interaction Design (1)
- UML Klassendiagramm (1)
- UML class diagram (1)
- UMTS (1)
- URL (1)
- URLLC (1)
- Underwater Mapping (1)
- Underwater Scanning (1)
- Unmanned Aerial Vehicle (1)
- Unstetige Regelung (1)
- Usability (1)
- Use case (1)
- User Behavior (1)
- User Participation (1)
- V-antigen (1)
- VNF (1)
- VPN (1)
- Variability (1)
- Venus (1)
- Veranstaltung (1)
- Verbotenes Muster (1)
- Verbände (1)
- Verkehrslenkung (1)
- Verteilung von Inhalten (1)
- Vesicles (1)
- Video Quality Monitoring (1)
- Video Streaming (1)
- Videoübertragung (1)
- Virtualisierung (1)
- Virtuelles Netzwerk (1)
- Visibility (1)
- Visual Text Mining (1)
- Visual Tracking (1)
- Visualized Kathará (1)
- Voice-over-IP (VoIP) (1)
- Volltextsuche (1)
- Vorhersage (1)
- WH2 domain (1)
- WLAN (1)
- WNT (1)
- Warteschlangentheorie (1)
- Web service (1)
- WebGL (1)
- Webmail-System (1)
- Webservice Composition (1)
- Werkstattdiagnose (1)
- WhatsApp (1)
- Wheel (1)
- Winkel (1)
- Wire relaxation (1)
- Wireless LAN (1)
- Wireless Sensor/Actuator Systems (1)
- Wissensbanksystem (1)
- Wissensbasiertes System (1)
- Wissenschaftliche Beobachtung (1)
- Wissensendeckung (1)
- Worterweiterungen (1)
- Wrapper (1)
- Wrappers (1)
- XML model (1)
- XR-artificial intelligence combination (1)
- XR-artificial intelligence continuum (1)
- Yersinia enterocolitica (1)
- Yolk protein (1)
- YouTube (1)
- Zebrafish (1)
- Zeichnen von Graphen (1)
- Zeitdiskretes System (1)
- Zugangskontrolle (1)
- Zählprobleme (1)
- abgeschlossene Klassen (1)
- acrophobia (1)
- actin nucleation (1)
- adaptation (1)
- adaptation models (1)
- administrative boundary (1)
- admission control (1)
- adult learning (1)
- advertising effectiveness (1)
- aerodynamics (1)
- aerospace (1)
- aftermarket diagnostic (1)
- agent-based models (1)
- agents (1)
- agile Prozesse (1)
- agile processes (1)
- aging (1)
- alignment (1)
- anamnesis tool (1)
- aneurysm (1)
- angular schematization (1)
- annotation (1)
- anomaly detection (1)
- anomaly prediction (1)
- ant-colony optimization (1)
- anthropomorphism (1)
- anxiety (1)
- apixaban (1)
- application design (1)
- approximation algorithms (1)
- arabidopsis thaliana (1)
- arabidpsis thaliana (1)
- architectural design (1)
- arithmetic calculations (1)
- artificial intelligence education (1)
- artificial intelligence literacy (1)
- augmentation (1)
- automatic Layout (1)
- automatisches Layout (1)
- autonomic orchestration (1)
- autonomous (1)
- autonomous UAV (1)
- autorotation (1)
- availability (1)
- avatar embodiment (1)
- avatars (1)
- background knowledge (1)
- baseline detection (1)
- behavior (1)
- behavior change (1)
- behavior perception (1)
- bibliometric analysis (1)
- binary decision diagram (1)
- binary tanglegram (1)
- biofuel (1)
- biohybrid systems (1)
- bioinformatics (1)
- biological development (1)
- biomanufacturing (1)
- biosignals (1)
- bit (1)
- bit-parallel (1)
- boundary labeling (1)
- brain (1)
- building (1)
- caenorhabditis elegans (1)
- camera orientation (1)
- car-like robots (1)
- carbon (1)
- carboxylation (1)
- cardiac magnetic resonance (1)
- case study (1)
- caspase-3 (1)
- cell membranes (1)
- cerebral ischemia (1)
- certifying algorithm (1)
- chain cover (1)
- channel management (1)
- cisplatin (1)
- classification (1)
- climate (1)
- cloud-native (1)
- co-authorships (1)
- co-inventorships (1)
- cognitive impairment (1)
- coherence (1)
- collaboration (1)
- collision (1)
- colony-stimulating factor (1)
- combination therapy (1)
- communication models (1)
- communication networks (1)
- community detection (1)
- comparative sequence analysis (1)
- competitive location (1)
- complex traits (1)
- complexity (1)
- compressed sensing (1)
- computational (1)
- computational complexity (1)
- computer performance evaluation (1)
- computer virus (1)
- computergestützte Softwaretechnik (1)
- computers as social actors (1)
- concept search (1)
- condition prediction (1)
- congruence (1)
- connector (1)
- constrained forest (1)
- contact representation (1)
- container virtualization (1)
- content-based image retrieval (1)
- continuous-time SLAM (1)
- conversational agent (1)
- conversational agents (1)
- convex bipartite graph (1)
- convolutional neural network (1)
- corticotropin-releasing hormone (1)
- cost-sensitive learning (1)
- counting problems (1)
- crosstalk (1)
- crowdsourced QoE measurements (1)
- crowdsourced measurements (1)
- crowdsourced network measurements (1)
- cryo-EM (1)
- cryo-ET (1)
- crystal growth (1)
- crystallization (1)
- cultural and media studies (1)
- culturally aware (1)
- cuneiform (1)
- curves (1)
- cyber-physical systems (1)
- cybersickness (1)
- cytokine profiling (1)
- d3web.Train (1)
- dSTORM (1)
- data mining (1)
- data plane programming (1)
- data stream processing (1)
- data structure (1)
- data warehouse (1)
- dataplane programming (1)
- decision support system (1)
- decision-making (1)
- decission finding (1)
- decoding error rate (1)
- deep metric learning (1)
- definite clause grammars (1)
- deformation-based method (1)
- delay QoS exponent (1)
- delay bound violation probability (1)
- delay constrained (1)
- dementia (1)
- descent (1)
- design cycle (1)
- detection time simulation (1)
- diagnostic accuracy (1)
- dial a ride (1)
- differentiation (1)
- digital twin (1)
- dimensions of proximity (1)
- direct oral anticoagulants (1)
- direct thrombin inhibitor (1)
- discrete-time analysis (1)
- disease (1)
- disjoint multi-paths (1)
- disruption project (1)
- distance-based classifier (1)
- distributed control (1)
- docker (1)
- driving simulation (1)
- drug (1)
- drug-minded protein (1)
- dynamic flow migration (1)
- dynamic programming (1)
- dynamische Umgebungen (1)
- eHealth (1)
- early printed books (1)
- eco-metabolomics (1)
- ecological momentary assessment (1)
- edge labeled graphs (1)
- effective Bandwidth (1)
- efficient algorithm (1)
- electroencephalography (1)
- electrolytes (1)
- electronic health records (1)
- elementary mode analysis (1)
- elementary modes (1)
- elevated plus-maze (1)
- embedding techniques (1)
- emergent time (1)
- emotions (1)
- empathy (1)
- emulation (1)
- encryption (1)
- end user (1)
- endurance (1)
- energy efficiency (1)
- environmental sound (1)
- enzyme (1)
- event detection (1)
- event-related potentials-ERP (1)
- exercise intensity (1)
- experience (1)
- experimental evaluation (1)
- expertise framing (Min5-Max 8) (1)
- expression (1)
- expression signature (1)
- extended reality (1)
- extended reality (XR) (1)
- factor XA inhibitor (1)
- failure prediction (1)
- fast reroute (1)
- fault detection (1)
- feature matching (1)
- feature-matching (1)
- federated learning (1)
- few-shot learning (1)
- field-programmable architectures (1)
- field-programmable gate arrays (1)
- firewall (1)
- fixed-parameter tractability (1)
- flies (1)
- fluoroscopy (1)
- food quality (1)
- force dynamics (1)
- foreign language learning and teaching (1)
- formation driving (1)
- formation flight (1)
- fruit temperature (1)
- full-text search (1)
- functional analysis (1)
- future Internet architecture (1)
- future energy grid exploration (1)
- game mechanics (1)
- gamification (1)
- gamma (1)
- generative systems (1)
- genes (1)
- genetic algorithm (1)
- genetic regulatory network (1)
- geospatial data (1)
- global IPX network (1)
- graph (1)
- graph algorithm (1)
- graph decomposition (1)
- graphs (1)
- green systems biology (1)
- group-based communication (1)
- handwriting (1)
- handwritten artefact recognition (1)
- haptic data (1)
- hardness (1)
- hardware-in-the-loop simulation (1)
- hardware-in-the-loop streaming system (1)
- hepatotoxicity (1)
- heuristics (1)
- hierarchy (1)
- histidine kinase (1)
- historical images (1)
- hit ratio analysis and simulation (1)
- homology modeling (1)
- hospital data (1)
- human body weight (1)
- human computer interaction (HCI) (1)
- human-artificial intelligence interaction (1)
- human-artificial intelligence interface (1)
- human-centered design (1)
- human-centered, human-robot (1)
- humantechnology interaction (1)
- human–computer interaction (1)
- hybrid Diagnostic (1)
- hybrid access (1)
- hybride Diagnose (1)
- hypotonic (1)
- hypotonic solutions (1)
- illusion of self-motion (1)
- image classification (1)
- image processing (1)
- image schemas (1)
- imbalanced regression (1)
- immersive advertising (1)
- immersive classroom (1)
- immersive classroom management (1)
- immersive learning technologies (1)
- immunity (1)
- implicit association test (1)
- in situ analysis (1)
- independent crossing (1)
- induced matching (1)
- inflation (1)
- informal education (1)
- information extraction (1)
- information systems and information technology (1)
- inhibitor (1)
- intelligent transportation systems (1)
- intelligent vehicles (1)
- intelligent virtual agents (1)
- intelligent voice assistant (1)
- intelligente Applikationen (1)
- intention-behavior-gap (1)
- inter-coder reliability (1)
- interaction (1)
- interactive authoring system (1)
- interactive collation of textual variants (1)
- intercultural learning and teaching (1)
- interdisciplinary education (1)
- intermediate host (1)
- internal transcribed spacer 2 (1)
- internet protocol (1)
- internet traffic (1)
- interpolation (1)
- intervention design (1)
- intervention evaluation (1)
- intraoperative imaging (1)
- invasive vascular interventions (1)
- iowa gambling task (1)
- isotonic (1)
- key-insight extraction (1)
- kinect (1)
- labeling (1)
- land-cover area (1)
- landing (1)
- language-image pre-training (1)
- latency (1)
- lattices (1)
- layout recognition (1)
- learning environments (1)
- least cost (1)
- life-span regulation (1)
- lifetime spectroscopy (1)
- light-gated proteins (1)
- load balancing (1)
- local energy system (1)
- locomotion (1)
- logic programming (1)
- logistics (1)
- long-term analysis (1)
- lymphotoxicity (1)
- malaria (1)
- map projections (1)
- mapping (1)
- markers (1)
- mathematical model (1)
- measurement (1)
- media analysis (1)
- media equation (1)
- medical analytics (1)
- medical device regulation (1)
- medical device software (1)
- medical records (1)
- medieval manuscripts (1)
- meditation (1)
- membrane protein (1)
- membrane proteins (1)
- memory immune responses (1)
- metabolic flux (1)
- metabolism (1)
- metabolomics (1)
- metastasis (1)
- methylene blue (1)
- metro map (1)
- mice (1)
- microbes (1)
- mindfulness (1)
- misconceptions (1)
- mission operation (1)
- mixed reality (1)
- mixed-cultural (1)
- mixed-cultural settings (1)
- mobile application (1)
- mobile instant messaging (1)
- mobile messaging application (1)
- mobile streaming (1)
- model following (1)
- model output statistics (1)
- model predictive control (1)
- model-base diagnosis (1)
- model-based diagnosis (1)
- modeling techniques (1)
- modules (1)
- molecular systematics (1)
- monotone drawing (1)
- morphing (1)
- mouse (1)
- multi-vehicle formations (1)
- multi-vehicle rendezvous (1)
- multimodal fusion (1)
- multimodal interface (1)
- multimodal learning (1)
- multipath communication (1)
- multipath packet scheduling (1)
- multiple myeloma (1)
- multirotors (1)
- multiscale encoder (1)
- mutation (1)
- mycoplasma (1)
- n-Gramm (1)
- n-gram (1)
- nano-satellite (1)
- nanocellulose (1)
- natural interfaces (1)
- natural language processing (1)
- natural language processing · · · (1)
- natural user interfaces (1)
- network (1)
- network design (1)
- network planning (1)
- network softwarization (1)
- network upgrade (1)
- network virtualization (1)
- networked robotics (1)
- networking (1)
- neume notation (1)
- neural architecture (1)
- noise measurement (1)
- non-native accent (1)
- non-terrestrial networks (1)
- nonholonomic vehicles (1)
- nonhuman-primates (1)
- nonverbal behavior (1)
- object detection (1)
- octree (1)
- omics (1)
- open source (1)
- optical music recognition (1)
- optimization (1)
- orchestration (1)
- organogenesis (1)
- origin (1)
- overprovisioning (1)
- oxidative stress (1)
- packet reception method (1)
- painful (1)
- pangolin (1)
- particle picking (1)
- partitions (1)
- passage of time (1)
- passive haptic feedback (1)
- path computation (1)
- pathway (1)
- pattern perception (1)
- performance (1)
- performance analysis (1)
- performance evaluation (1)
- performance liquid chromatography (1)
- performance monitoring (1)
- performance prediction (1)
- permeability (1)
- pestis infection (1)
- phase space (1)
- phase transition (1)
- photorespiration (1)
- phylogenetic tree (1)
- phylogeny (1)
- place-illusion (1)
- plain orchestrating service (1)
- plan execution (1)
- plausibility (1)
- plausibility-illusion (1)
- pneumoniae (1)
- pneumonic plague (1)
- point cloud (1)
- point cloud compression (1)
- point-to-plane measure (1)
- point-to-point measure (1)
- pollution (1)
- pos (1)
- posets (1)
- positioning (1)
- precision horticulture (1)
- precision training (1)
- presence (1)
- private chat groups (1)
- procedural content generation (1)
- procedural fusion methods (1)
- process model (1)
- processing pipeline (1)
- progeria (1)
- promoter (1)
- prompt engineering (1)
- protein (1)
- protein chip (1)
- protein-interaction networks (1)
- pseudomas-syringae (1)
- psychomotor training (1)
- psychophyisology (1)
- public speaking (1)
- pulse simulation (1)
- q-Gramm (1)
- q-gram (1)
- quadcopter (1)
- quadcopters (1)
- quality assurance (1)
- quality evaluation (1)
- quality of experience (1)
- quality of experience prediction (1)
- quantification (1)
- qubit (1)
- radio resource management (1)
- radiology (1)
- ransomware (1)
- real world evidence (1)
- real-world application (1)
- realism (1)
- receding horizon control (1)
- receptor (1)
- recombinant protein rVE (1)
- recombination (1)
- recommender system (1)
- reconfiguration (1)
- regelbasierte Nachbearbeitung (1)
- reload cost (1)
- remote control (1)
- research methods (1)
- resilience (1)
- response regulator (1)
- ribosomal RNA (1)
- rich vehicle routing problem (1)
- richtersius coronifer (1)
- right angle crossing (1)
- road network (1)
- robotics (1)
- robustness (1)
- rotorcraft (1)
- rotors (1)
- routing (1)
- rule based post processing (1)
- sample weighting (1)
- satisfiability problems (1)
- scalability evaluation (1)
- scalable quadcopter (1)
- scenario creation (1)
- science, technology and society (1)
- secondary structure (1)
- secure group communication (1)
- self-adaptive (1)
- self-adaptive systems (1)
- self-assembly (1)
- self-aware computing systems (1)
- self-managing systems (1)
- semantic fusion (1)
- semantic understanding (1)
- semantic web (1)
- semantical aesthetic (1)
- semantische Ästhetik (1)
- sensitivity analysis (1)
- sensor devices (1)
- sensor fusion (1)
- sensor network (1)
- sensor networks (1)
- sentinel (1)
- sequence alignment (1)
- serious games (1)
- serum (1)
- service based software architecture (1)
- service brokerage (1)
- service-curve estimation (1)
- sesnsors (1)
- set (1)
- shootin-1 (1)
- short block-length (1)
- shortest path routing (1)
- signal processing (1)
- signaling traffic (1)
- simulation system (1)
- simultaneous embedding (1)
- single-electron transistors (1)
- skalierbare Diagnose (1)
- sketching (1)
- slam (1)
- smart meter data utilization (1)
- smooth orthogonal drawing (1)
- snow shoveling (1)
- social VR (1)
- social interaction (1)
- social relationship (1)
- social robot (1)
- social robotics (1)
- social role (1)
- socially interactive agents (1)
- software defined network (1)
- spam mail (1)
- spanning tree (1)
- spire (1)
- stability (1)
- stable state (1)
- standardization (1)
- state management (1)
- statistical validity (1)
- statistics and numerical data (1)
- stereotypes (1)
- stochastic thinking (1)
- stochastisches Denken (1)
- stream processing (1)
- stroke (1)
- structural complexity (1)
- student simulation (1)
- stylus (1)
- sun exposure (1)
- sunburn (1)
- superoxide-dismutase (1)
- supervised learning (1)
- surface model (1)
- survey (1)
- survival (1)
- sustainability (1)
- switching navigation (1)
- synthetic biology (1)
- synthetic pathways (1)
- system (1)
- system architecture design (1)
- systematic literature review (1)
- systematic review (1)
- table extraction (1)
- table understanding (1)
- taxonomy (1)
- teacher education (1)
- technology-supported learning (1)
- telematics (1)
- temperature (1)
- text categorization (1)
- text line detection (1)
- text supervision (1)
- theory (1)
- therapeutic application (1)
- thermal camera (1)
- thermal point cloud (1)
- time calibration (1)
- time perception (1)
- time series (1)
- timestamping method (1)
- tolerance (1)
- tomography (1)
- tonicity (1)
- tools (1)
- topology (1)
- training systems (1)
- trait anxiety (1)
- trajectory planning (1)
- transcription (1)
- transformations (1)
- transformer (1)
- translational neuroscience (1)
- transmission (1)
- transport microenvironments (1)
- transport protocols (1)
- transportation (1)
- tree (1)
- trust (1)
- trustworthiness (1)
- university network (1)
- unmanned aerial vehicle (1)
- unmanned aerial vehicles (1)
- usability evaluation (1)
- use cases (1)
- user experience (1)
- user interaction (1)
- user interfaces (1)
- user study (1)
- user-generated content (1)
- v (1)
- vaccine (1)
- validation (1)
- vection (1)
- vehicle dynamics (1)
- vehicular navigation (1)
- verbal behaviour (1)
- vernetzte Roboter (1)
- virtual agent interaction (1)
- virtual audience (1)
- virtual humans (1)
- virtual queue (1)
- virtual reality training (1)
- virtual stimuli (1)
- virtual tunnel (1)
- virtual-reality-continuum (1)
- visual analytics (1)
- visual proteomics (1)
- vitellogenin (1)
- voice assistant (1)
- voice-based artificial intelligence (1)
- vom Nutzer erfahrene Dienstgüte QoE (1)
- voting location (1)
- water stress (1)
- waypoint parameter (1)
- wearable (1)
- webmail system (1)
- wheel (1)
- wireless network (1)
- word clouds (1)
- word extensions (1)
- zooming (1)
- zukünftige Kommunikationsnetze (1)
- zukünftiges Internet (1)
- Ähnlichkeitsmaß (1)
- Überlappung (1)
Institute
- Institut für Informatik (203)
- Theodor-Boveri-Institut für Biowissenschaften (29)
- Institut Mensch - Computer - Medien (17)
- Institut für deutsche Philologie (17)
- Institut für Klinische Epidemiologie und Biometrie (7)
- Rechenzentrum (7)
- Center for Computational and Theoretical Biology (4)
- Graduate School of Science and Technology (3)
- Medizinische Klinik und Poliklinik II (3)
- Institut für Funktionsmaterialien und Biofabrikation (2)
Schriftenreihe
Sonstige beteiligte Institutionen
- Cologne Game Lab (2)
- Birmingham City University (1)
- DATE Lab, KITE Research Insititute, University Health Network, Toronto, Canada (1)
- EMBL Heidelberg (1)
- INAF Padova, Italy (1)
- Jacobs University Bremen, Germany (1)
- Open University of the Netherlands (1)
- Servicezentrum Medizin-Informatik (Universitätsklinikum) (1)
- Social and Technological Systems (SaTS) lab, School of Art, Media, Performance and Design, York University, Toronto, Canada (1)
- TH Köln (1)
Measurements of physiological parameters provide an objective, often non-intrusive, and (at least semi-)automatic evaluation and utilization of user behavior. In addition, specific hardware devices of Virtual Reality (VR) often ship with built-in sensors, i.e. eye-tracking and movements sensors. Hence, the combination of physiological measurements and VR applications seems promising. Several approaches have investigated the applicability and benefits of this combination for various fields of applications. However, the range of possible application fields, coupled with potentially useful and beneficial physiological parameters, types of sensor, target variables and factors, and analysis approaches and techniques is manifold. This article provides a systematic overview and an extensive state-of-the-art review of the usage of physiological measurements in VR. We identified 1,119 works that make use of physiological measurements in VR. Within these, we identified 32 approaches that focus on the classification of characteristics of experience, common in VR applications. The first part of this review categorizes the 1,119 works by field of application, i.e. therapy, training, entertainment, and communication and interaction, as well as by the specific target factors and variables measured by the physiological parameters. An additional category summarizes general VR approaches applicable to all specific fields of application since they target typical VR qualities. In the second part of this review, we analyze the target factors and variables regarding the respective methods used for an automatic analysis and, potentially, classification. For example, we highlight which measurement setups have been proven to be sensitive enough to distinguish different levels of arousal, valence, anxiety, stress, or cognitive workload in the virtual realm. This work may prove useful for all researchers wanting to use physiological data in VR and who want to have a good overview of prior approaches taken, their benefits and potential drawbacks.
Realistic and lifelike 3D-reconstruction of virtual humans has various exciting and important use cases. Our and others’ appearances have notable effects on ourselves and our interaction partners in virtual environments, e.g., on acceptance, preference, trust, believability, behavior (the Proteus effect), and more. Today, multiple approaches for the 3D-reconstruction of virtual humans exist. They significantly vary in terms of the degree of achievable realism, the technical complexities, and finally, the overall reconstruction costs involved. This article compares two 3D-reconstruction approaches with very different hardware requirements. The high-cost solution uses a typical complex and elaborated camera rig consisting of 94 digital single-lens reflex (DSLR) cameras. The recently developed low-cost solution uses a smartphone camera to create videos that capture multiple views of a person. Both methods use photogrammetric reconstruction and template fitting with the same template model and differ in their adaptation to the method-specific input material. Each method generates high-quality virtual humans ready to be processed, animated, and rendered by standard XR simulation and game engines such as Unreal or Unity. We compare the results of the two 3D-reconstruction methods in an immersive virtual environment against each other in a user study. Our results indicate that the virtual humans from the low-cost approach are perceived similarly to those from the high-cost approach regarding the perceived similarity to the original, human-likeness, beauty, and uncanniness, despite significant differences in the objectively measured quality. The perceived feeling of change of the own body was higher for the low-cost virtual humans. Quality differences were perceived more strongly for one’s own body than for other virtual humans.
Plenty of theories, models, measures, and investigations target the understanding of virtual presence, i.e., the sense of presence in immersive Virtual Reality (VR). Other varieties of the so-called eXtended Realities (XR), e.g., Augmented and Mixed Reality (AR and MR) incorporate immersive features to a lesser degree and continuously combine spatial cues from the real physical space and the simulated virtual space. This blurred separation questions the applicability of the accumulated knowledge about the similarities of virtual presence and presence occurring in other varieties of XR, and corresponding outcomes. The present work bridges this gap by analyzing the construct of presence in mixed realities (MR). To achieve this, the following presents (1) a short review of definitions, dimensions, and measurements of presence in VR, and (2) the state of the art views on MR. Additionally, we (3) derived a working definition of MR, extending the Milgram continuum. This definition is based on entities reaching from real to virtual manifestations at one time point. Entities possess different degrees of referential power, determining the selection of the frame of reference. Furthermore, we (4) identified three research desiderata, including research questions about the frame of reference, the corresponding dimension of transportation, and the dimension of realism in MR. Mainly the relationship between the main aspects of virtual presence of immersive VR, i.e., the place-illusion, and the plausibility-illusion, and of the referential power of MR entities are discussed regarding the concept, measures, and design of presence in MR. Finally, (5) we suggested an experimental setup to reveal the research heuristic behind experiments investigating presence in MR. The present work contributes to the theories and the meaning of and approaches to simulate and measure presence in MR. We hypothesize that research about essential underlying factors determining user experience (UX) in MR simulations and experiences is still in its infancy and hopes this article provides an encouraging starting point to tackle related questions.
Artificial Intelligence (AI) covers a broad spectrum of computational problems and use cases. Many of those implicate profound and sometimes intricate questions of how humans interact or should interact with AIs. Moreover, many users or future users do have abstract ideas of what AI is, significantly depending on the specific embodiment of AI applications. Human-centered-design approaches would suggest evaluating the impact of different embodiments on human perception of and interaction with AI. An approach that is difficult to realize due to the sheer complexity of application fields and embodiments in reality. However, here XR opens new possibilities to research human-AI interactions. The article’s contribution is twofold: First, it provides a theoretical treatment and model of human-AI interaction based on an XR-AI continuum as a framework for and a perspective of different approaches of XR-AI combinations. It motivates XR-AI combinations as a method to learn about the effects of prospective human-AI interfaces and shows why the combination of XR and AI fruitfully contributes to a valid and systematic investigation of human-AI interactions and interfaces. Second, the article provides two exemplary experiments investigating the aforementioned approach for two distinct AI-systems. The first experiment reveals an interesting gender effect in human-robot interaction, while the second experiment reveals an Eliza effect of a recommender system. Here the article introduces two paradigmatic implementations of the proposed XR testbed for human-AI interactions and interfaces and shows how a valid and systematic investigation can be conducted. In sum, the article opens new perspectives on how XR benefits human-centered AI design and development.
This article introduces the Off-The-Shelf Stylus (OTSS), a framework for 2D interaction (in 3D) as well as for handwriting and sketching with digital pen, ink, and paper on physically aligned virtual surfaces in Virtual, Augmented, and Mixed Reality (VR, AR, MR: XR for short). OTSS supports self-made XR styluses based on consumer-grade six-degrees-of-freedom XR controllers and commercially available styluses. The framework provides separate modules for three basic but vital features: 1) The stylus module provides stylus construction and calibration features. 2) The surface module provides surface calibration and visual feedback features for virtual-physical 2D surface alignment using our so-called 3ViSuAl procedure, and surface interaction features. 3) The evaluation suite provides a comprehensive test bed combining technical measurements for precision, accuracy, and latency with extensive usability evaluations including handwriting and sketching tasks based on established visuomotor, graphomotor, and handwriting research. The framework’s development is accompanied by an extensive open source reference implementation targeting the Unity game engine using an Oculus Rift S headset and Oculus Touch controllers. The development compares three low-cost and low-tech options to equip controllers with a tip and includes a web browser-based surface providing support for interacting, handwriting, and sketching. The evaluation of the reference implementation based on the OTSS framework identified an average stylus precision of 0.98 mm (SD = 0.54 mm) and an average surface accuracy of 0.60 mm (SD = 0.32 mm) in a seated VR environment. The time for displaying the stylus movement as digital ink on the web browser surface in VR was 79.40 ms on average (SD = 23.26 ms), including the physical controller’s motion-to-photon latency visualized by its virtual representation (M = 42.57 ms, SD = 15.70 ms). The usability evaluation (N = 10) revealed a low task load, high usability, and high user experience. Participants successfully reproduced given shapes and created legible handwriting, indicating that the OTSS and it’s reference implementation is ready for everyday use. We provide source code access to our implementation, including stylus and surface calibration and surface interaction features, making it easy to reuse, extend, adapt and/or replicate previous results (https://go.uniwue.de/hci-otss).
As an emerging market for voice assistants (VA), the healthcare sector imposes increasing requirements on the users’ trust in the technological system. To encourage patients to reveal sensitive data requires patients to trust in the technological counterpart. In an experimental laboratory study, participants were presented a VA, which was introduced as either a “specialist” or a “generalist” tool for sexual health. In both conditions, the VA asked the exact same health-related questions. Afterwards, participants assessed the trustworthiness of the tool and further source layers (provider, platform provider, automatic speech recognition in general, data receiver) and reported individual characteristics (disposition to trust and disclose sexual information). Results revealed that perceiving the VA as a specialist resulted in higher trustworthiness of the VA and of the provider, the platform provider and automatic speech recognition in general. Furthermore, the provider’s trustworthiness affected the perceived trustworthiness of the VA. Presenting both a theoretical line of reasoning and empirical data, the study points out the importance of the users’ perspective on the assistant. In sum, this paper argues for further analyses of trustworthiness in voice-based systems and its effects on the usage behavior as well as the impact on responsible design of future technology.
The concept of digital literacy has been introduced as a new cultural technique, which is regarded as essential for successful participation in a (future) digitized world. Regarding the increasing importance of AI, literacy concepts need to be extended to account for AI-related specifics. The easy handling of the systems results in increased usage, contrasting limited conceptualizations (e.g., imagination of future importance) and competencies (e.g., knowledge about functional principles). In reference to voice-based conversational agents as a concrete application of AI, the present paper aims for the development of a measurement to assess the conceptualizations and competencies about conversational agents. In a first step, a theoretical framework of “AI literacy” is transferred to the context of conversational agent literacy. Second, the “conversational agent literacy scale” (short CALS) is developed, constituting the first attempt to measure interindividual differences in the “(il) literate” usage of conversational agents. 29 items were derived, of which 170 participants answered. An explanatory factor analysis identified five factors leading to five subscales to assess CAL: storage and transfer of the smart speaker’s data input; smart speaker’s functional principles; smart speaker’s intelligent functions, learning abilities; smart speaker’s reach and potential; smart speaker’s technological (surrounding) infrastructure. Preliminary insights into construct validity and reliability of CALS showed satisfying results. Third, using the newly developed instrument, a student sample’s CAL was assessed, revealing intermediated values. Remarkably, owning a smart speaker did not lead to higher CAL scores, confirming our basic assumption that usage of systems does not guarantee enlightened conceptualizations and competencies. In sum, the paper contributes to the first insights into the operationalization and understanding of CAL as a specific subdomain of AI-related competencies.
Impaired decision-making leads to the inability to distinguish between advantageous and disadvantageous choices. The impairment of a person’s decision-making is a common goal of gambling games. Given the recent trend of gambling using immersive Virtual Reality it is crucial to investigate the effects of both immersion and the virtual environment (VE) on decision-making. In a novel user study, we measured decision-making using three virtual versions of the Iowa Gambling Task (IGT). The versions differed with regard to the degree of immersion and design of the virtual environment. While emotions affect decision-making, we further measured the positive and negative affect of participants. A higher visual angle on a stimulus leads to an increased emotional response. Thus, we kept the visual angle on the Iowa Gambling Task the same between our conditions. Our results revealed no significant impact of immersion or the VE on the IGT. We further found no significant difference between the conditions with regard to positive and negative affect. This suggests that neither the medium used nor the design of the VE causes an impairment of decision-making. However, in combination with a recent study, we provide first evidence that a higher visual angle on the IGT leads to an effect of impairment.
In this paper, we present a virtual audience simulation system for Virtual Reality (VR). The system implements an audience perception model controlling the nonverbal behaviors of virtual spectators, such as facial expressions or postures. Groups of virtual spectators are animated by a set of nonverbal behavior rules representing a particular audience attitude (e.g., indifferent or enthusiastic). Each rule specifies a nonverbal behavior category: posture, head movement, facial expression and gaze direction as well as three parameters: type, frequency and proportion. In a first user-study, we asked participants to pretend to be a speaker in VR and then create sets of nonverbal behaviour parameters to simulate different attitudes. Participants manipulated the nonverbal behaviours of single virtual spectator to match a specific levels of engagement and opinion toward them. In a second user-study, we used these parameters to design different types of virtual audiences with our nonverbal behavior rules and evaluated their perceptions. Our results demonstrate our system’s ability to create virtual audiences with three types of different perceived attitudes: indifferent, critical, enthusiastic. The analysis of the results also lead to a set of recommendations and guidelines regarding attitudes and expressions for future design of audiences for VR therapy and training applications.
Sensitivity analysis for interpretation of machine learning based segmentation models in cardiac MRI
(2021)
Background
Image segmentation is a common task in medical imaging e.g., for volumetry analysis in cardiac MRI. Artificial neural networks are used to automate this task with performance similar to manual operators. However, this performance is only achieved in the narrow tasks networks are trained on. Performance drops dramatically when data characteristics differ from the training set properties. Moreover, neural networks are commonly considered black boxes, because it is hard to understand how they make decisions and why they fail. Therefore, it is also hard to predict whether they will generalize and work well with new data. Here we present a generic method for segmentation model interpretation. Sensitivity analysis is an approach where model input is modified in a controlled manner and the effect of these modifications on the model output is evaluated. This method yields insights into the sensitivity of the model to these alterations and therefore to the importance of certain features on segmentation performance.
Results
We present an open-source Python library (misas), that facilitates the use of sensitivity analysis with arbitrary data and models. We show that this method is a suitable approach to answer practical questions regarding use and functionality of segmentation models. We demonstrate this in two case studies on cardiac magnetic resonance imaging. The first case study explores the suitability of a published network for use on a public dataset the network has not been trained on. The second case study demonstrates how sensitivity analysis can be used to evaluate the robustness of a newly trained model.
Conclusions
Sensitivity analysis is a useful tool for deep learning developers as well as users such as clinicians. It extends their toolbox, enabling and improving interpretability of segmentation models. Enhancing our understanding of neural networks through sensitivity analysis also assists in decision making. Although demonstrated only on cardiac magnetic resonance images this approach and software are much more broadly applicable.
Psycho-pathological conditions, such as depression or schizophrenia, are often accompanied by a distorted perception of time. People suffering from this conditions often report that the passage of time slows down considerably and that they are “stuck in time.” Virtual Reality (VR) could potentially help to diagnose and maybe treat such mental conditions. However, the conditions in which a VR simulation could correctly diagnose a time perception deviation are still unknown. In this paper, we present an experiment investigating the difference in time experience with and without a virtual body in VR, also known as avatar. The process of substituting a person’s body with a virtual body is called avatar embodiment. Numerous studies demonstrated interesting perceptual, emotional, behavioral, and psychological effects caused by avatar embodiment. However, the relations between time perception and avatar embodiment are still unclear. Whether or not the presence or absence of an avatar is already influencing time perception is still open to question. Therefore, we conducted a between-subjects design with and without avatar embodiment as well as a real condition (avatar vs. no-avatar vs. real). A group of 105 healthy subjects had to wait for seven and a half minutes in a room without any distractors (e.g., no window, magazine, people, decoration) or time indicators (e.g., clocks, sunlight). The virtual environment replicates the real physical environment. Participants were unaware that they will be asked to estimate their waiting time duration as well as describing their experience of the passage of time at a later stage. Our main finding shows that the presence of an avatar is leading to a significantly faster perceived passage of time. It seems to be promising to integrate avatar embodiment in future VR time-based therapy applications as they potentially could modulate a user’s perception of the passage of time. We also found no significant difference in time perception between the real and the VR conditions (avatar, no-avatar), but further research is needed to better understand this outcome.
Mindfulness is considered an important factor of an individual's subjective well-being. Consequently, Human-Computer Interaction (HCI) has investigated approaches that strengthen mindfulness, i.e., by inventing multimedia technologies to support mindfulness meditation. These approaches often use smartphones, tablets, or consumer-grade desktop systems to allow everyday usage in users' private lives or in the scope of organized therapies. Virtual, Augmented, and Mixed Reality (VR, AR, MR; in short: XR) significantly extend the design space for such approaches. XR covers a wide range of potential sensory stimulation, perceptive and cognitive manipulations, content presentation, interaction, and agency. These facilities are linked to typical XR-specific perceptions that are conceptually closely related to mindfulness research, such as (virtual) presence and (virtual) embodiment. However, a successful exploitation of XR that strengthens mindfulness requires a systematic analysis of the potential interrelation and influencing mechanisms between XR technology, its properties, factors, and phenomena and existing models and theories of the construct of mindfulness. This article reports such a systematic analysis of XR-related research from HCI and life sciences to determine the extent to which existing research frameworks on HCI and mindfulness can be applied to XR technologies, the potential of XR technologies to support mindfulness, and open research gaps. Fifty papers of ACM Digital Library and National Institutes of Health's National Library of Medicine (PubMed) with and without empirical efficacy evaluation were included in our analysis. The results reveal that at the current time, empirical research on XR-based mindfulness support mainly focuses on therapy and therapeutic outcomes. Furthermore, most of the currently investigated XR-supported mindfulness interactions are limited to vocally guided meditations within nature-inspired virtual environments. While an analysis of empirical research on those systems did not reveal differences in mindfulness compared to non-mediated mindfulness practices, various design proposals illustrate that XR has the potential to provide interactive and body-based innovations for mindfulness practice. We propose a structured approach for future work to specify and further explore the potential of XR as mindfulness-support. The resulting framework provides design guidelines for XR-based mindfulness support based on the elements and psychological mechanisms of XR interactions.
Conversational agents and smart speakers have grown in popularity offering a variety of options for use, which are available through intuitive speech operation. In contrast to the standard dyad of a single user and a device, voice-controlled operations can be observed by further attendees resulting in new, more social usage scenarios. Referring to the concept of ‘media equation’ and to research on the idea of ‘computers as social actors,’ which describes the potential of technology to trigger emotional reactions in users, this paper asks for the capacity of smart speakers to elicit empathy in observers of interactions. In a 2 × 2 online experiment, 140 participants watched a video of a man talking to an Amazon Echo either rudely or neutrally (factor 1), addressing it as ‘Alexa’ or ‘Computer’ (factor 2). Controlling for participants’ trait empathy, the rude treatment results in participants’ significantly higher ratings of empathy with the device, compared to the neutral treatment. The form of address had no significant effect. Results were independent of the participants’ gender and usage experience indicating a rather universal effect, which confirms the basic idea of the media equation. Implications for users, developers and researchers were discussed in the light of (future) omnipresent voice-based technology interaction scenarios.
The design and evaluation of assisting technologies to support behavior change processes have become an essential topic within the field of human-computer interaction research in general and the field of immersive intervention technologies in particular. The mechanisms and success of behavior change techniques and interventions are broadly investigated in the field of psychology. However, it is not always easy to adapt these psychological findings to the context of immersive technologies. The lack of theoretical foundation also leads to a lack of explanation as to why and how immersive interventions support behavior change processes. The Behavioral Framework for immersive Technologies (BehaveFIT) addresses this lack by 1) presenting an intelligible categorization and condensation of psychological barriers and immersive features, by 2) suggesting a mapping that shows why and how immersive technologies can help to overcome barriers and finally by 3) proposing a generic prediction path that enables a structured, theory-based approach to the development and evaluation of immersive interventions. These three steps explain how BehaveFIT can be used, and include guiding questions for each step. Further, two use cases illustrate the usage of BehaveFIT. Thus, the present paper contributes to guidance for immersive intervention design and evaluation, showing that immersive interventions support behavior change processes and explain and predict 'why' and 'how' immersive interventions can bridge the intention-behavior-gap.
Effects of Acrophobic Fear and Trait Anxiety on Human Behavior in a Virtual Elevated Plus-Maze
(2021)
The Elevated Plus-Maze (EPM) is a well-established apparatus to measure anxiety in rodents, i.e., animals exhibiting an increased relative time spent in the closed vs. the open arms are considered anxious. To examine whether such anxiety-modulated behaviors are conserved in humans, we re-translated this paradigm to a human setting using virtual reality in a Cave Automatic Virtual Environment (CAVE) system. In two studies, we examined whether the EPM exploration behavior of humans is modulated by their trait anxiety and also assessed the individuals’ levels of acrophobia (fear of height), claustrophobia (fear of confined spaces), sensation seeking, and the reported anxiety when on the maze. First, we constructed an exact virtual copy of the animal EPM adjusted to human proportions. In analogy to animal EPM studies, participants (N = 30) freely explored the EPM for 5 min. In the second study (N = 61), we redesigned the EPM to make it more human-adapted and to differentiate influences of trait anxiety and acrophobia by introducing various floor textures and lower walls of closed arms to the height of standard handrails. In the first experiment, hierarchical regression analyses of exploration behavior revealed the expected association between open arm avoidance and Trait Anxiety, an even stronger association with acrophobic fear. In the second study, results revealed that acrophobia was associated with avoidance of open arms with mesh-floor texture, whereas for trait anxiety, claustrophobia, and sensation seeking, no effect was detected. Also, subjects’ fear rating was moderated by all psychometrics but trait anxiety. In sum, both studies consistently indicate that humans show no general open arm avoidance analogous to rodents and that human EPM behavior is modulated strongest by acrophobic fear, whereas trait anxiety plays a subordinate role. Thus, we conclude that the criteria for cross-species validity are met insufficiently in this case. Despite the exploratory nature, our studies provide in-depth insights into human exploration behavior on the virtual EPM.
Die Erkennung handschriftlicher Artefakte wie Unterstreichungen in Buchdrucken ermöglicht Rückschlüsse auf das Rezeptionsverhalten und die Provenienzgeschichte und wird auch für eine OCR benötigt. Dabei soll zwischen handschriftlichen Unterstreichungen und waagerechten Linien im Druck (z. B. Trennlinien usw.) unterschieden werden, da letztere nicht ausgezeichnet werden sollen. Im Beitrag wird ein Ansatz basierend auf einem auf Unterstreichungen trainierten Neuronalen Netz gemäß der U-Net Architektur vorgestellt, dessen Ergebnisse in einem zweiten Schritt mit heuristischen Regeln nachbearbeitet werden. Die Evaluationen zeigen, dass Unterstreichungen sehr gut erkannt werden, wenn bei der Binarisierung der Scans nicht zu viele Pixel der Unterstreichung wegen geringem Kontrast verloren gehen. Zukünftig sollen die Worte oberhalb der Unterstreichung mit OCR transkribiert werden und auch andere Artefakte wie handschriftliche Notizen in alten Drucken erkannt werden.
Synthetically designed alternative photorespiratory pathways increase the biomass of tobacco and rice plants. Likewise, some in planta–tested synthetic carbon-concentrating cycles (CCCs) hold promise to increase plant biomass while diminishing atmospheric carbon dioxide burden. Taking these individual contributions into account, we hypothesize that the integration of bypasses and CCCs will further increase plant productivity. To test this in silico, we reconstructed a metabolic model by integrating photorespiration and photosynthesis with the synthetically designed alternative pathway 3 (AP3) enzymes and transporters. We calculated fluxes of the native plant system and those of AP3 combined with the inhibition of the glycolate/glycerate transporter by using the YANAsquare package. The activity values corresponding to each enzyme in photosynthesis, photorespiration, and for synthetically designed alternative pathways were estimated. Next, we modeled the effect of the crotonyl-CoA/ethylmalonyl-CoA/hydroxybutyryl-CoA cycle (CETCH), which is a set of natural and synthetically designed enzymes that fix CO₂ manifold more than the native Calvin–Benson–Bassham (CBB) cycle. We compared estimated fluxes across various pathways in the native model and under an introduced CETCH cycle. Moreover, we combined CETCH and AP3-w/plgg1RNAi, and calculated the fluxes. We anticipate higher carbon dioxide–harvesting potential in plants with an AP3 bypass and CETCH–AP3 combination. We discuss the in vivo implementation of these strategies for the improvement of C3 plants and in natural high carbon harvesters.
The successful development and classroom integration of Virtual (VR) and Augmented Reality (AR) learning environments requires competencies and content knowledge with respect to media didactics and the respective technologies. The paper discusses a pedagogical concept specifically aiming at the interdisciplinary education of pre-service teachers in collaboration with human-computer interaction students. The students’ overarching goal is the interdisciplinary realization and integration of VR/AR learning environments in teaching and learning concepts. To assist this approach, we developed a specific tutorial guiding the developmental process. We evaluate and validate the effectiveness of the overall pedagogical concept by analyzing the change in attitudes regarding 1) the use of VR/AR for educational purposes and in competencies and content knowledge regarding 2) media didactics and 3) technology. Our results indicate a significant improvement in the knowledge of media didactics and technology. We further report on four STEM learning environments that have been developed during the seminar.
To enable a sustainable supply of chemicals, novel biotechnological solutions are required that replace the reliance on fossil resources. One potential solution is to utilize tailored biosynthetic modules for the metabolic conversion of CO2 or organic waste to chemicals and fuel by microorganisms. Currently, it is challenging to commercialize biotechnological processes for renewable chemical biomanufacturing because of a lack of highly active and specific biocatalysts. As experimental methods to engineer biocatalysts are time- and cost-intensive, it is important to establish efficient and reliable computational tools that can speed up the identification or optimization of selective, highly active, and stable enzyme variants for utilization in the biotechnological industry. Here, we review and suggest combinations of effective state-of-the-art software and online tools available for computational enzyme engineering pipelines to optimize metabolic pathways for the biosynthesis of renewable chemicals. Using examples relevant for biotechnology, we explain the underlying principles of enzyme engineering and design and illuminate future directions for automated optimization of biocatalysts for the assembly of synthetic metabolic pathways.
Background: Since the replication crisis, standardization has become even more important in psychological science and neuroscience. As a result, many methods are being reconsidered, and researchers’ degrees of freedom in these methods are being discussed as a potential source of inconsistencies across studies.
New Method: With the aim of addressing these subjectivity issues, we have been working on a tutorial-like EEG (pre-)processing pipeline to achieve an automated method based on the semi-automated analysis proposed by Delorme and Makeig.
Results: Two scripts are presented and explained step-by-step to perform basic, informed ERP and frequency-domain analyses, including data export to statistical programs and visual representations of the data. The open-source software EEGlab in MATLAB is used as the data handling platform, but scripts based on code provided by Mike Cohen (2014) are also included.
Comparison with existing methods: This accompanying tutorial-like article explains and shows how the processing of our automated pipeline affects the data and addresses, especially beginners in EEG-analysis, as other (pre)-processing chains are mostly targeting rather informed users in specialized areas or only parts of a complete procedure. In this context, we compared our pipeline with a selection of existing approaches.
Conclusion: The need for standardization and replication is evident, yet it is equally important to control the plausibility of the suggested solution by data exploration. Here, we provide the community with a tool to enhance the understanding and capability of EEG-analysis. We aim to contribute to comprehensive and reliable analyses for neuro-scientific research.
Uplink vs. Downlink: Machine Learning-Based Quality Prediction for HTTP Adaptive Video Streaming
(2021)
Streaming video is responsible for the bulk of Internet traffic these days. For this reason, Internet providers and network operators try to make predictions and assessments about the streaming quality for an end user. Current monitoring solutions are based on a variety of different machine learning approaches. The challenge for providers and operators nowadays is that existing approaches require large amounts of data. In this work, the most relevant quality of experience metrics, i.e., the initial playback delay, the video streaming quality, video quality changes, and video rebuffering events, are examined using a voluminous data set of more than 13,000 YouTube video streaming runs that were collected with the native YouTube mobile app. Three Machine Learning models are developed and compared to estimate playback behavior based on uplink request information. The main focus has been on developing a lightweight approach using as few features and as little data as possible, while maintaining state-of-the-art performance.
Natural walking in virtual reality games is constrained by the physical boundaries defined by the size of the player’s tracking space. Impossible spaces, a redirected walking technique, enlarge the virtual environment by creating overlapping architecture and letting multiple locations occupy the same physical space. Within certain thresholds, this is subtle to the player. In this paper, we present our approach to implement such impossible spaces and describe how we handled challenges like objects with simulated physics or precomputed global illumination.
In this paper, we bridge the gap between procedural content generation (PCG) and user-generated content (UGC) by proposing and demonstrating an interactive agent-based model of self-assembling ensembles that can be directed though user input. We motivate these efforts by considering the opportunities technology provides to pursue game designs based on according game design frameworks. We present three different use cases of the proposed model that emphasize its potential to (1) self-assemble into predefined 3D graphical assets, (2) define new structures in the context of virtual environments by self-assembling layers on the surfaces of arbitrary 3D objects, and (3) allow novel structures to self-assemble only considering the model’s configuration and no external dependencies. To address the performance restrictions in computer games, we realized the prototypical model implementation by means of an efficient entity component system (ECS). We conclude the paper with an outlook on future steps to further explore novel interactive, dynamic PCG mechanics and to ensure their efficiency.
Immersive virtual environments provide users with the opportunity to escape from the real world, but scripted dialogues can disrupt the presence within the world the user is trying to escape within. Both Non-Playable Character (NPC) to Player and NPC to NPC dialogue can be non-natural and the reliance on responding with pre-defined dialogue does not always meet the players emotional expectations or provide responses appropriate to the given context or world states. This paper investigates the application of Artificial Intelligence (AI) and Natural Language Processing to generate dynamic human-like responses within a themed virtual world. Each thematic has been analysed against humangenerated responses for the same seed and demonstrates invariance of rating across a range of model sizes, but shows an effect of theme and the size of the corpus used for fine-tuning the context for the game world.
Modern immersive multimodal technologies enable the learners to completely get immersed in various learning situations in a way that feels like experiencing an authentic learning environment. These environments also allow the collection of multimodal data, which can be used with artificial intelligence to further improve the immersion and learning outcomes. The use of artificial intelligence has been widely explored for the interpretation of multimodal data collected from multiple sensors, thus giving insights to support learners’ performance by providing personalised feedback. In this paper, we present a conceptual approach for creating immersive learning environments, integrated with multi-sensor setup to help learners improve their psychomotor skills in a remote setting.
As part of the Clash of Realities International Conference on the Technology and Theory of Digital Games, the Game Technology Summit is a premium venue to bring together experts from academia and industry to disseminate state-of-the-art research on trending technology topics in digital games. In this first iteration of the Game Technology Summit, we specifically paid attention on how the successes in AI in Natural User Interfaces have been impacting the games industry (industry track) and which scientific, state-of-the-art ideas and approaches are currently pursued (scientific track).
Mapping and localization of mobile robots in an unknown environment are essential for most high-level operations like autonomous navigation or exploration. This paper presents a novel approach for combining estimated trajectories, namely curvefusion. The robot used in the experiments is equipped with a horizontally mounted 2D profiler, a constantly spinning 3D laser scanner and a GPS module. The proposed algorithm first combines trajectories from different sensors to optimize poses of the planar three degrees of freedom (DoF) trajectory, which is then fed into continuous-time simultaneous localization and mapping (SLAM) to further improve the trajectory. While state-of-the-art multi-sensor fusion methods mainly focus on probabilistic methods, our approach instead adopts a deformation-based method to optimize poses. To this end, a similarity metric for curved shapes is introduced into the robotics community to fuse the estimated trajectories. Additionally, a shape-based point correspondence estimation method is applied to the multi-sensor time calibration. Experiments show that the proposed fusion method can achieve relatively better accuracy, even if the error of the trajectory before fusion is large, which demonstrates that our method can still maintain a certain degree of accuracy in an environment where typical pose estimation methods have poor performance. In addition, the proposed time-calibration method also achieves high accuracy in estimating point correspondences.
Neural networks have to capture mathematical relationships in order to learn various tasks. They approximate these relations implicitly and therefore often do not generalize well. The recently proposed Neural Arithmetic Logic Unit (NALU) is a novel neural architecture which is able to explicitly represent the mathematical relationships by the units of the network to learn operations such as summation, subtraction or multiplication. Although NALUs have been shown to perform well on various downstream tasks, an in-depth analysis reveals practical shortcomings by design, such as the inability to multiply or divide negative input values or training stability issues for deeper networks. We address these issues and propose an improved model architecture. We evaluate our model empirically in various settings from learning basic arithmetic operations to more complex functions. Our experiments indicate that our model solves stability issues and outperforms the original NALU model in means of arithmetic precision and convergence.
The rating of perceived exertion (RPE) is a subjective load marker and may assist in individualizing training prescription, particularly by adjusting running intensity. Unfortunately, RPE has shortcomings (e.g., underreporting) and cannot be monitored continuously and automatically throughout a training sessions. In this pilot study, we aimed to predict two classes of RPE (≤15 “Somewhat hard to hard” on Borg’s 6–20 scale vs. RPE >15 in runners by analyzing data recorded by a commercially-available smartwatch with machine learning algorithms. Twelve trained and untrained runners performed long-continuous runs at a constant self-selected pace to volitional exhaustion. Untrained runners reported their RPE each kilometer, whereas trained runners reported every five kilometers. The kinetics of heart rate, step cadence, and running velocity were recorded continuously ( 1 Hz ) with a commercially-available smartwatch (Polar V800). We trained different machine learning algorithms to estimate the two classes of RPE based on the time series sensor data derived from the smartwatch. Predictions were analyzed in different settings: accuracy overall and per runner type; i.e., accuracy for trained and untrained runners independently. We achieved top accuracies of 84.8 % for the whole dataset, 81.8 % for the trained runners, and 86.1 % for the untrained runners. We predict two classes of RPE with high accuracy using machine learning and smartwatch data. This approach might aid in individualizing training prescriptions.
The DAEDALUS mission concept aims at exploring and characterising the entrance and initial part of Lunar lava tubes within a compact, tightly integrated spherical robotic device, with a complementary payload set and autonomous capabilities.
The mission concept addresses specifically the identification and characterisation of potential resources for future ESA exploration, the local environment of the subsurface and its geologic and compositional structure.
A sphere is ideally suited to protect sensors and scientific equipment in rough, uneven environments.
It will house laser scanners, cameras and ancillary payloads.
The sphere will be lowered into the skylight and will explore the entrance shaft, associated caverns and conduits. Lidar (light detection and ranging) systems produce 3D models with high spatial accuracy independent of lighting conditions and visible features.
Hence this will be the primary exploration toolset within the sphere.
The additional payload that can be accommodated in the robotic sphere consists of camera systems with panoramic lenses and scanners such as multi-wavelength or single-photon scanners.
A moving mass will trigger movements.
The tether for lowering the sphere will be used for data communication and powering the equipment during the descending phase.
Furthermore, the connector tether-sphere will host a WIFI access point, such that data of the conduit can be transferred to the surface relay station. During the exploration phase, the robot will be disconnected from the cable, and will use wireless communication.
Emergency autonomy software will ensure that in case of loss of communication, the robot will continue the nominal mission.
Constraining graph layouts - that is, restricting the placement of vertices and the routing of edges to obey certain constraints - is common practice in graph drawing.
In this book, we discuss algorithmic results on two different restriction types:
placing vertices on the outer face and on the integer grid.
For the first type, we look into the outer k-planar and outer k-quasi-planar graphs, as well as giving a linear-time algorithm to recognize full and closed outer k-planar graphs Monadic Second-order Logic.
For the second type, we consider the problem of transferring a given planar drawing onto the integer grid while perserving the original drawings topology;
we also generalize a variant of Cauchy's rigidity theorem for orthogonal polyhedra of genus 0 to those of arbitrary genus.
In this article, we present approaches to interactive simulations of biohybrid systems. These simulations are comprised of two major computational components: (1) agent-based developmental models that retrace organismal growth and unfolding of technical scaffoldings and (2) interfaces to explore these models interactively. Simulations of biohybrid systems allow us to fast forward and experience their evolution over time based on our design decisions involving the choice, configuration and initial states of the deployed biological and robotic actors as well as their interplay with the environment. We briefly introduce the concept of swarm grammars, an agent-based extension of L-systems for retracing growth processes and structural artifacts. Next, we review an early augmented reality prototype for designing and projecting biohybrid system simulations into real space. In addition to models that retrace plant behaviors, we specify swarm grammar agents to braid structures in a self-organizing manner. Based on this model, both robotic and plant-driven braiding processes can be experienced and explored in virtual worlds. We present an according user interface for use in virtual reality. As we present interactive models concerning rather diverse description levels, we only ensured their principal capacity for interaction but did not consider efficiency analyzes beyond prototypic operation. We conclude this article with an outlook on future works on melding reality and virtuality to drive the design and deployment of biohybrid systems.
Two studies are reported that investigate how readily accessible and applicable ten force-dynamic categories are to novices in describing short episodes of human-technology interaction (Study 1) and that establish a measure of inter-coder reliability when re-classifying these episodes into force-dynamic categories (Study 2). The results of the first study show that people can easily and confidently relate their experiences with technology to the definitions of force-dynamic events (e.g. “The driver released the handbrake” as an example of restraint removal). The results of the second study show moderate agreement between four expert coders across all ten force-dynamic categories (Cohen’s kappa = .59) when re-classifying these episodes. Agreement values for single force-dynamic categories ranged between ‘fair’ and ‘almost perfect’, i.e. between kappa = .30 and .95. Agreement with the originally intended classifications of study 1 was higher than the pure inter-coder reliabilities. Single coders achieved an average kappa of .71, indicating substantial agreement. Using more than one coder increased kappas to almost perfect: up to .87 for four coders. A qualitative analysis of the predicted versus the observed number of category confusions revealed that about half of the category disagreement could be predicted from strong overlaps in the definitions of force-dynamic categories. From the quantitative and qualitative results, guidelines are derived to aid the better training of coders in order to increase inter-coder reliability.
Failure prediction is an important aspect of self-aware computing systems. Therefore, a multitude of different approaches has been proposed in the literature over the past few years. In this work, we propose a taxonomy for organizing works focusing on the prediction of Service Level Objective (SLO) failures. Our taxonomy classifies related work along the dimensions of the prediction target (e.g., anomaly detection, performance prediction, or failure prediction), the time horizon (e.g., detection or prediction, online or offline application), and the applied modeling type (e.g., time series forecasting, machine learning, or queueing theory). The classification is derived based on a systematic mapping of relevant papers in the area. Additionally, we give an overview of different techniques in each sub-group and address remaining challenges in order to guide future research.
In the present day, unmanned aerial vehicles become seemingly more popular every year, but, without regulation of the increasing number of these vehicles, the air space could become chaotic and uncontrollable. In this work, a framework is proposed to combine self-aware computing with multirotor formations to address this problem. The self-awareness is envisioned to improve the dynamic behavior of multirotors. The formation scheme that is implemented is called platooning, which arranges vehicles in a string behind the lead vehicle and is proposed to bring order into chaotic air space. Since multirotors define a general category of unmanned aerial vehicles, the focus of this thesis are quadcopters, platforms with four rotors. A modification for the LRA-M self-awareness loop is proposed and named Platooning Awareness. The implemented framework is able to offer two flight modes that enable waypoint following and the self-awareness module to find a path through scenarios, where obstacles are present on the way, onto a goal position. The evaluation of this work shows that the proposed framework is able to use self-awareness to learn about its environment, avoid obstacles, and can successfully move a platoon of drones through multiple scenarios.
Semantic Fusion for Natural Multimodal Interfaces using Concurrent Augmented Transition Networks
(2018)
Semantic fusion is a central requirement of many multimodal interfaces. Procedural methods like finite-state transducers and augmented transition networks have proven to be beneficial to implement semantic fusion. They are compliant with rapid development cycles that are common for the development of user interfaces, in contrast to machine-learning approaches that require time-costly training and optimization. We identify seven fundamental requirements for the implementation of semantic fusion: Action derivation, continuous feedback, context-sensitivity, temporal relation support, access to the interaction context, as well as the support of chronologically unsorted and probabilistic input. A subsequent analysis reveals, however, that there is currently no solution for fulfilling the latter two requirements. As the main contribution of this article, we thus present the Concurrent Cursor concept to compensate these shortcomings. In addition, we showcase a reference implementation, the Concurrent Augmented Transition Network (cATN), that validates the concept’s feasibility in a series of proof of concept demonstrations as well as through a comparative benchmark. The cATN fulfills all identified requirements and fills the lack amongst previous solutions. It supports the rapid prototyping of multimodal interfaces by means of five concrete traits: Its declarative nature, the recursiveness of the underlying transition network, the network abstraction constructs of its description language, the utilized semantic queries, and an abstraction layer for lexical information. Our reference implementation was and is used in various student projects, theses, as well as master-level courses. It is openly available and showcases that non-experts can effectively implement multimodal interfaces, even for non-trivial applications in mixed and virtual reality.
This short letter proposes more consolidated explicit solutions for the forces and torques acting on typical rover wheels, that can be used as a method to determine their average mobility characteristics in planetary soils. The closed loop solutions stand in one of the verified methods, but at difference of the previous, observables are decoupled requiring a less amount of physical parameters to measure. As a result, we show that with knowledge of terrain properties, wheel driving performance rely in a single observable only. Because of their generality, the formulated equations established here can have further implications in autonomy and control of rovers or planetary soil characterization.
Lifetime techniques are applied to diverse fields of study including materials sciences, semiconductor physics, biology, molecular biophysics and photochemistry.
Here we present DDRS4PALS, a software for the acquisition and simulation of lifetime spectra using the DRS4 evaluation board (Paul Scherrer Institute, Switzerland) for time resolved measurements and digitization of detector output pulses. Artifact afflicted pulses can be corrected or rejected prior to the lifetime calculation to provide the generation of high-quality lifetime spectra, which are crucial for a profound analysis, i.e. the decomposition of the true information. Moreover, the pulses can be streamed on an (external) hard drive during the measurement and subsequently downloaded in the offline mode without being connected to the hardware. This allows the generation of various lifetime spectra at different configurations from one single measurement and, hence, a meaningful comparison in terms of analyzability and quality. Parallel processing and an integrated JavaScript based language provide convenient options to accelerate and automate time consuming processes such as lifetime spectra simulations.
Knowledge encoding in game mechanics: transfer-oriented knowledge learning in desktop-3D and VR
(2019)
Affine Transformations (ATs) are a complex and abstract learning content. Encoding the AT knowledge in Game Mechanics (GMs) achieves a repetitive knowledge application and audiovisual demonstration. Playing a serious game providing these GMs leads to motivating and effective knowledge learning. Using immersive Virtual Reality (VR) has the potential to even further increase the serious game’s learning outcome and learning quality. This paper compares the effectiveness and efficiency of desktop-3D and VR in respect to the achieved learning outcome. Also, the present study analyzes the effectiveness of an enhanced audiovisual knowledge encoding and the provision of a debriefing system. The results validate the effectiveness of the knowledge encoding in GMs to achieve knowledge learning. The study also indicates that VR is beneficial for the overall learning quality and that an enhanced audiovisual encoding has only a limited effect on the learning outcome.
In recent years several community testbeds as well as participatory sensing platforms have successfully established themselves to provide open data to everyone interested. Each of them with a specific goal in mind, ranging from collecting radio coverage data up to environmental and radiation data. Such data can be used by the community in their decision making, whether to subscribe to a specific mobile phone service that provides good coverage in an area or in finding a sunny and warm region for the summer holidays.
However, the existing platforms are usually limiting themselves to directly measurable network QoS. If such a crowdsourced data set provides more in-depth derived measures, this would enable an even better decision making. A community-driven crowdsensing platform that derives spatial application-layer user experience from resource-friendly bandwidth estimates would be such a case, video streaming services come to mind as a prime example. In this paper we present a concept for such a system based on an initial prototype that eases the collection of data necessary to determine mobile-specific QoE at large scale. In addition we reason why the simple quality metric proposed here can hold its own.
The three-dimensional cuneiform script is one of the oldest known writing systems and a central object of research in Ancient Near Eastern Studies and Hittitology. An important step towards the understanding of the cuneiform script is the provision of opportunities and tools for joint analysis. This paper presents an approach that contributes to this challenge: a collaborative compatible web-based scientific exploration and analysis of 3D scanned cuneiform fragments. The WebGL -based concept incorporates methods for compressed web-based content delivery of large 3D datasets and high quality visualization. To maximize accessibility and to promote acceptance of 3D techniques in the field of Hittitology, the introduced concept is integrated into the Hethitologie-Portal Mainz, an established leading online research resource in the field of Hittitology, which until now exclusively included 2D content. The paper shows that increasing the availability of 3D scanned archaeological data through a web-based interface can provide significant scientific value while at the same time finding a trade-off between copyright induced restrictions and scientific usability.
White Paper on Crowdsourced Network and QoE Measurements – Definitions, Use Cases and Challenges
(2020)
The goal of the white paper at hand is as follows. The definitions of the terms build a framework for discussions around the hype topic ‘crowdsourcing’. This serves as a basis for differentiation and a consistent view from different perspectives on crowdsourced network measurements, with the goal to provide a commonly accepted definition in the community. The focus is on the context of mobile and fixed network operators, but also on measurements of different layers (network, application, user layer). In addition, the white paper shows the value of crowdsourcing for selected use cases, e.g., to improve QoE or regulatory issues. Finally, the major challenges and issues for researchers and practitioners are highlighted.
This white paper is the outcome of the Würzburg seminar on “Crowdsourced Network and QoE Measurements” which took place from 25-26 September 2019 in Würzburg, Germany. International experts were invited from industry and academia. They are well known in their communities, having different backgrounds in crowdsourcing, mobile networks, network measurements, network performance, Quality of Service (QoS), and Quality of Experience (QoE). The discussions in the seminar focused on how crowdsourcing will support vendors, operators, and regulators to determine the Quality of Experience in new 5G networks that enable various new applications and network architectures. As a result of the discussions, the need for a white paper manifested, with the goal of providing a scientific discussion of the terms “crowdsourced network measurements” and “crowdsourced QoE measurements”, describing relevant use cases for such crowdsourced data, and its underlying challenges. During the seminar, those main topics were identified, intensively discussed in break-out groups, and brought back into the plenum several times. The outcome of the seminar is this white paper at hand which is – to our knowledge – the first one covering the topic of crowdsourced network and QoE measurements.
The correct behavior of spacecraft components is the foundation of unhindered mission operation. However, no technical system is free of wear and degradation. A malfunction of one single component might significantly alter the behavior of the whole spacecraft and may even lead to a complete mission failure. Therefore, abnormal component behavior must be detected early in order to be able to perform counter measures. A dedicated fault detection system can be employed, as opposed to classical health monitoring, performed by human operators, to decrease the response time to a malfunction. In this paper, we present a generic model-based diagnosis system, which detects faults by analyzing the spacecraft’s housekeeping data. The observed behavior of the spacecraft components, given by the housekeeping data is compared to their expected behavior, obtained through simulation. Each discrepancy between the observed and the expected behavior of a component generates a so-called symptom. Given the symptoms, the diagnoses are derived by computing sets of components whose malfunction might cause the observed discrepancies. We demonstrate the applicability of the diagnosis system by using modified housekeeping data of the qualification model of an actual spacecraft and outline the advantages and drawbacks of our approach.
Background: Natural language processing (NLP) is a powerful tool supporting the generation of Real-World Evidence (RWE). There is no NLP system that enables the extensive querying of parameters specific to multiple myeloma (MM) out of unstructured medical reports. We therefore created a MM-specific ontology to accelerate the information extraction (IE) out of unstructured text. Methods: Our MM ontology consists of extensive MM-specific and hierarchically structured attributes and values. We implemented “A Rule-based Information Extraction System” (ARIES) that uses this ontology. We evaluated ARIES on 200 randomly selected medical reports of patients diagnosed with MM. Results: Our system achieved a high F1-Score of 0.92 on the evaluation dataset with a precision of 0.87 and recall of 0.98. Conclusions: Our rule-based IE system enables the comprehensive querying of medical reports. The IE accelerates the extraction of data and enables clinicians to faster generate RWE on hematological issues. RWE helps clinicians to make decisions in an evidence-based manner. Our tool easily accelerates the integration of research evidence into everyday clinical practice.
Experimental high-throughput analysis of molecular networks is a central approach to characterize the adaptation of plant metabolism to the environment. However, recent studies have demonstrated that it is hardly possible to predict in situ metabolic phenotypes from experiments under controlled conditions, such as growth chambers or greenhouses. This is particularly due to the high molecular variance of in situ samples induced by environmental fluctuations. An approach of functional metabolome interpretation of field samples would be desirable in order to be able to identify and trace back the impact of environmental changes on plant metabolism. To test the applicability of metabolomics studies for a characterization of plant populations in the field, we have identified and analyzed in situ samples of nearby grown natural populations of Arabidopsis thaliana in Austria. A. thaliana is the primary molecular biological model system in plant biology with one of the best functionally annotated genomes representing a reference system for all other plant genome projects. The genomes of these novel natural populations were sequenced and phylogenetically compared to a comprehensive genome database of A. thaliana ecotypes. Experimental results on primary and secondary metabolite profiling and genotypic variation were functionally integrated by a data mining strategy, which combines statistical output of metabolomics data with genome-derived biochemical pathway reconstruction and metabolic modeling. Correlations of biochemical model predictions and population-specific genetic variation indicated varying strategies of metabolic regulation on a population level which enabled the direct comparison, differentiation, and prediction of metabolic adaptation of the same species to different habitats. These differences were most pronounced at organic and amino acid metabolism as well as at the interface of primary and secondary metabolism and allowed for the direct classification of population-specific metabolic phenotypes within geographically contiguous sampling sites.
Cosmology often uses intricate formulas and mathematics to derive new theories and concepts. We do something different in this paper: We look at biological processes and derive from these heuristics so that the revised cosmology agrees with astronomical observations but does also agree with standard biological observations. We show that we then have to replace any type of singularity at the start of the universe by a condensation nucleus and that the very early period of the universe usually assumed to be inflation has to be replaced by a period of rapid crystal growth as in Weiss magnetization domains.
Impressively, these minor modifications agree well with astronomical observations including removing the strong inflation perturbations which were never observed in the recent BICEP2 experiments. Furthermore, looking at biological principles suggests that such a new theory with a condensation nucleus at start and a first rapid phase of magnetization-like growth of the ordered, physical laws obeying lattice we live in is in fact the only convincing theory of the early phases of our universe that also is compatible with current observations.
We show in detail in the following that such a process of crystal creation, breaking of new crystal seeds and ultimate evaporation of the present crystal readily leads over several generations to an evolution and selection of better, more stable and more self-organizing crystals. Moreover, this explains the “fine-tuning” question why our universe is fine-tuned to favor life: Our Universe is so self-organizing to have enough offspring and the detailed physics involved is at the same time highly favorable for all self-organizing processes including life.
This biological theory contrasts with current standard inflation cosmologies. The latter do not perform well in explaining any phenomena of sophisticated structure creation or self-organization. As proteins can only thermodynamically fold by increasing the entropy in the solution around them we suggest for cosmology a condensation nucleus for a universe can form only in a “chaotic ocean” of string-soup or quantum foam if the entropy outside of the nucleus rapidly increases. We derive an interaction potential for 1 to n-dimensional strings or quantum-foams and show that they allow only 1D, 2D, 4D or octonion interactions. The latter is the richest structure and agrees to the E8 symmetry fundamental to particle physics and also compatible with the ten dimensional string theory E8 which is part of the M-theory. Interestingly, any other interactions of other dimensionality can be ruled out using Hurwitz compositional theorem. Crystallization explains also extremely well why we have only one macroscopic reality and where the worldlines of alternative trajectories exist: They are in other planes of the crystal and for energy reasons they crystallize mostly at the same time, yielding a beautiful and stable crystal. This explains decoherence and allows to determine the size of Planck´s quantum h (very small as separation of crystal layers by energy is extremely strong).
Ultimate dissolution of real crystals suggests an explanation for dark energy agreeing with estimates for the “big rip”. The halo distribution of dark matter favoring galaxy formation is readily explained by a crystal seed starting with unit cells made of normal and dark matter.
That we have only matter and not antimatter can be explained as there may be right handed mattercrystals and left-handed antimatter crystals. Similarly, real crystals are never perfect and we argue that exactly such irregularities allow formation of galaxies, clusters and superclusters. Finally, heuristics from genetics suggest to look for a systems perspective to derive correct vacuum and Higgs Boson energies.
Maps are the main tool to represent geographical information. Users often zoom in and out to access maps at different scales. Continuous map generalization tries to make the changes between different scales smooth, which is essential to provide users with comfortable zooming experience.
In order to achieve continuous map generalization with high quality, we optimize some important aspects of maps. In this book, we have used optimization in the generalization of land-cover areas, administrative boundaries, buildings, and coastlines. According to our experiments, continuous map generalization indeed benefits from optimization.
Making machines understand natural language is a dream of mankind that existed
since a very long time. Early attempts at programming machines to converse with
humans in a supposedly intelligent way with humans relied on phrase lists and simple
keyword matching. However, such approaches cannot provide semantically adequate
answers, as they do not consider the specific meaning of the conversation. Thus, if we
want to enable machines to actually understand language, we need to be able to access
semantically relevant background knowledge. For this, it is possible to query so-called
ontologies, which are large networks containing knowledge about real-world entities
and their semantic relations. However, creating such ontologies is a tedious task, as often
extensive expert knowledge is required. Thus, we need to find ways to automatically
construct and update ontologies that fit human intuition of semantics and semantic
relations. More specifically, we need to determine semantic entities and find relations
between them. While this is usually done on large corpora of unstructured text, previous
work has shown that we can at least facilitate the first issue of extracting entities by
considering special data such as tagging data or human navigational paths. Here, we do
not need to detect the actual semantic entities, as they are already provided because of
the way those data are collected. Thus we can mainly focus on the problem of assessing
the degree of semantic relatedness between tags or web pages. However, there exist
several issues which need to be overcome, if we want to approximate human intuition of
semantic relatedness. For this, it is necessary to represent words and concepts in a way
that allows easy and highly precise semantic characterization. This also largely depends
on the quality of data from which these representations are constructed.
In this thesis, we extract semantic information from both tagging data created by users
of social tagging systems and human navigation data in different semantic-driven social
web systems. Our main goal is to construct high quality and robust vector representations
of words which can the be used to measure the relatedness of semantic concepts.
First, we show that navigation in the social media systems Wikipedia and BibSonomy is
driven by a semantic component. After this, we discuss and extend methods to model
the semantic information in tagging data as low-dimensional vectors. Furthermore, we
show that tagging pragmatics influences different facets of tagging semantics. We then
investigate the usefulness of human navigational paths in several different settings on
Wikipedia and BibSonomy for measuring semantic relatedness. Finally, we propose
a metric-learning based algorithm in adapt pre-trained word embeddings to datasets
containing human judgment of semantic relatedness.
This work contributes to the field of studying semantic relatedness between words
by proposing methods to extract semantic relatedness from web navigation, learn highquality
and low-dimensional word representations from tagging data, and to learn
semantic relatedness from any kind of vector representation by exploiting human
feedback. Applications first and foremest lie in ontology learning for the Semantic Web,
but also semantic search or query expansion.
Einleitung:
Multiple-Choice-Klausuren spielen immer noch eine herausragende Rolle für fakultätsinterne medizinische Prüfungen. Neben inhaltlichen Arbeiten stellt sich die Frage, wie die technische Abwicklung optimiert werden kann. Für Dozenten in der Medizin gibt es zunehmend drei Optionen zur Durchführung von MC-Klausuren: Papierklausuren mit oder ohne Computerunterstützung oder vollständig elektronische Klausuren. Kritische Faktoren sind der Aufwand für die Formatierung der Klausur, der logistische Aufwand bei der Klausurdurchführung, die Qualität, Schnelligkeit und der Aufwand der Klausurkorrektur, die Bereitstellung der Dokumente für die Einsichtnahme, und die statistische Analyse der Klausurergebnisse.
Methoden:
An der Universität Würzburg wird seit drei Semestern ein Computerprogramm zur Eingabe und Formatierung der MC-Fragen in medizinischen und anderen Papierklausuren verwendet und optimiert, mit dem im Wintersemester (WS) 2009/2010 elf, im Sommersemester (SS) 2010 zwölf und im WS 2010/11 dreizehn medizinische Klausuren erstellt und anschließend die eingescannten Antwortblätter automatisch ausgewertet wurden. In den letzten beiden Semestern wurden die Aufwände protokolliert.
Ergebnisse:
Der Aufwand der Formatierung und der Auswertung einschl. nachträglicher Anpassung der Auswertung einer Durchschnittsklausur mit ca. 140 Teilnehmern und ca. 35 Fragen ist von 5-7 Stunden für Klausuren ohne Komplikation im WS 2009/2010 über ca. 2 Stunden im SS 2010 auf ca. 1,5 Stunden im WS 2010/11 gefallen. Einschließlich der Klausuren mit Komplikationen bei der Auswertung betrug die durchschnittliche Zeit im SS 2010 ca. 3 Stunden und im WS 10/11 ca. 2,67 Stunden pro Klausur.
Diskussion:
Für konventionelle Multiple-Choice-Klausuren bietet die computergestützte Formatierung und Auswertung von Papierklausuren einen beträchtlichen Zeitvorteil für die Dozenten im Vergleich zur manuellen Korrektur von Papierklausuren und benötigt im Vergleich zu rein elektronischen Klausuren eine deutlich einfachere technische Infrastruktur und weniger Personal bei der Klausurdurchführung.