Institut Mensch - Computer - Medien
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Pictures in a rapid serial visual presentation (RSVP) stream are better remembered when they are simultaneously presented with targets of an unrelated detection task than when they are presented with distractors. However, it is unclear whether this so-called “attentional boost effect” depends on the intentionality of encoding. While there are studies suggesting that the attentional boost effect even occurs when encoding is incidental, there are several methodological issues with these studies, which may have undermined the incidental encoding instructions. The present study (N = 141) investigated the role of the intentionality of encoding with an improved experimental design. Specifically, to prevent a spill-over of intentional resources to the pictures in the RSVP stream, the speed of the stream was increased (to four pictures per second) and each picture was presented only once during the course of the experiment. An attentional boost effect was only found when encoding was intentional but not when encoding was incidental. Interestingly, memory performance for incidentally encoded pictures was nevertheless substantially above chance, independently of whether images were presented with search-relevant targets or distractors. These results suggest that the attentional boost effect is a memory advantage that occurs only under intentional encoding conditions, and that perceptual long-term memory representations are formed as a natural product of perception, independently of the presence of behaviorally relevant events.
Hintergrundmusik wird in verschiedenen audiovisuellen Medienformaten häufig und meist mit einer ganz bestimmten Intention eingesetzt. Ziel dieser Dissertation war es, durch eine umfangreiche Aufarbeitung bisheriger Forschung Faktoren zu ermitteln und empirisch zu testen, die beeinflussen, dass Hintergrundmusik in audiovisuellen Medienformaten prognostizierbar die ihr zugesprochenen Funktionen erfüllt. Als interdisziplinärer Forschungsgegenstand bedarf Hintergrundmusik eines möglichst ausgewogenen Blickwinkels, der Musik- und Medienkontext-Spezifika (und deren potentielle Interaktionen) gleichermaßen berücksichtigt. Um Hintergrundmusik als komplexem audiovisuellen Stimulus in empirischer Forschung gerecht zu werden, spielen zudem auch praktische Implikationen eine große Rolle. Diese Herausforderungen berücksichtigend wurde die Wirksamkeit von Hintergrundmusik in fünf Studien im Kontext von drei verschiedenen Medienformaten untersucht. Da Werbung, Film und informationsvermittelnde Medienformate (wie Dokumentationen und TV-Magazine) die drei Kernfunktionen von Medien – Persuasion, Unterhaltung und Information – repräsentieren, sollte auf Grundlage dieses Dreiklangs die Bandbreite potenzieller Wirkungen von effektiv eingesetzter Musik und von Faktoren, die ihre Wirkung beeinflussen, möglichst umfassend (wenn auch sicher nicht vollständig) abgebildet werden. Über alle Medienformate hinweg kann als wichtiger, die Wirksamkeit von Hintergrundmusik verstärkender Einflussfaktor eine Kongruenz, d.h. eine intuitiv wahrgenommene Passung von Musik und Medienkontext ausgemacht werden, die durch eine sorgfältige Abstimmung der Spezifika von Musik und Medienformat auf emotionaler, auf assoziativer und auf struktureller Ebene erreicht werden kann. Findet diese Anwendung, kann Musik systematisch die Wirksamkeit von Werbespots steigern (Studie 1 und 2), gezielt Bedeutung vermitteln und dadurch die Wahrnehmung und Interpretation von (deutungsoffenen) Filmszenen prägen (Studie 3 und 4) oder unter bestimmten Bedingungen das persuasive Potenzial eines informationsvermittelnden Medienformats steigern und so die Meinungsbildung der Rezipierenden (zumindest kurzfristig) beeinflussen (Studie 5). Die Arbeit verdeutlicht, wie mittels interdisziplinärer Perspektivierung und der Beachtung praktischer Implikationen bereits etabliertes Wissen verstetigt und neue Erkenntnisse zur Verwendung und Wirkung von Hintergrundmusik für Wissenschaft und Medienpraxis abgeleitet werden können – inklusive eines Ausblicks auf daraus resultierende Potenziale für zukünftige Forschung.
Manifestations of aggressive driving, such as tailgating, speeding, or swearing, are not trivial offenses but are serious problems with hazardous consequences—for the offender as well as the target of aggression. Aggression on the road erases the joy of driving, affects heart health, causes traffic jams, and increases the risk of traffic accidents. This work is aimed at developing a technology-driven solution to mitigate aggressive driving according to the principles of Persuasive Technology. Persuasive Technology is a scientific field dealing with computerized software or information systems that are designed to reinforce, change, or shape attitudes, behaviors, or both without using coercion or deception.
Against this background, the Driving Feedback Avatar (DFA) was developed through this work. The system is a visual in-car interface that provides the driver with feedback on aggressive driving. The main element is an abstract avatar displayed in the vehicle. The feedback is transmitted through the emotional state of this avatar, i.e., if the driver behaves aggressively, the avatar becomes increasingly angry (negative feedback). If no aggressive action occurs, the avatar is more relaxed (positive feedback). In addition, directly after an aggressive action is recognized by the system, the display is flashing briefly to give the driver an instant feedback on his action.
Five empirical studies were carried out as part of the human-centered design process of the DFA. They were aimed at understanding the user and the use context of the future system, ideating system ideas, and evaluating a system prototype. The initial research question was about the triggers of aggressive driving. In a driver study on a public road, 34 participants reported their emotions and their triggers while they were driving (study 1). The second research question asked for interventions to cope with aggression in everyday life. For this purpose, 15 experts dealing with the treatment of aggressive individuals were interviewed (study 2). In total, 75 triggers of aggressive driving and 34 anti-aggression interventions were identified. Inspired by these findings, 108 participants generated more than 100 ideas of how to mitigate aggressive driving using technology in a series of ideation workshops (study 3). Based on these ideas, the concept of the DFA was elaborated on. In an online survey, the concept was evaluated by 1,047 German respondents to get a first assessment of its perception (study 4). Later on, the DFA was implemented into a prototype and evaluated in an experimental driving study with 32 participants, focusing on the system’s effectiveness (study 5). The DFA had only weak and, in part, unexpected effects on aggressive driving that require a deeper discussion.
With the DFA, this work has shown that there is room to change aggressive driving through Persuasive Technology. However, this is a very sensitive issue with special requirements regarding the design of avatar-based feedback systems in the context of aggressive driving. Moreover, this work makes a significant contribution through the number of empirical insights gained on the problem of aggressive driving and wants to encourage future research and design activities in this regard.
Computer games are highly immersive, engaging, and motivating learning environments. By providing a tutorial at the start of a new game, players learn the basics of the game's underlying principles as well as practice how to successfully play the game. During the actual gameplay, players repetitively apply this knowledge, thus improving it due to repetition. Computer games also challenge players with a constant stream of new challenges which increase in difficulty over time. As a result, computer games even require players to transfer their knowledge to master these new challenges. A computer game consists of several game mechanics. Game mechanics are the rules of a computer game and encode the game's underlying principles. They create the virtual environments, generate a game's challenges and allow players to interact with the game. Game mechanics also can encode real world knowledge. This knowledge may be acquired by players via gameplay. However, the actual process of knowledge encoding and knowledge learning using game mechanics has not been thoroughly defined, yet. This thesis therefore proposes a theoretical model to define the knowledge learning using game mechanics: the Gamified Knowledge Encoding. The model is applied to design a serious game for affine transformations, i.e., GEtiT, and to predict the learning outcome of playing a computer game that encodes orbital mechanics in its game mechanics, i.e., Kerbal Space Program. To assess the effects of different visualization technologies on the overall learning outcome, GEtiT visualizes the gameplay in desktop-3D and immersive virtual reality. The model's applicability for effective game design as well as GEtiT's overall design are evaluated in a usability study. The learning outcome of playing GEtiT and Kerbal Space Program is assessed in four additional user studies. The studies' results validate the use of the Gamified Knowledge Encoding for the purpose of developing effective serious games and to predict the learning outcome of existing serious games. GEtiT and Kerbal Space Program yield a similar training effect but a higher motivation to tackle the assignments in comparison to a traditional learning method. In conclusion, this thesis expands the understanding of using game mechanics for an effective learning of knowledge. The presented results are of high importance for researches, educators, and developers as they also provide guidelines for the development of effective serious games.
Intuitive Benutzung wird in dieser Arbeit definiert als das Ausmaß, mit dem ein Produkt mental effizient und effektiv genutzt wird, was mit einem starken metakognitiven Gefühl von Flüssigkeit einhergeht. Aktuelle Methoden verfügen nicht über eine ausreichend hohe zeitliche Anwendungseffizienz, um im Industrieprojekt 3D-GUIde effektiv zur Evaluation von Interaktionspatterns für 3D-Creation-Oriented-User-Interfaces (3D-CUIs) eingesetzt werden zu können. Diese Interaktionspatterns beschreiben strukturiert, wie 3D-CUIs als User Interfaces zur Erstellung von dreidimensionalen Inhalten gestaltet werden müssen, um intuitive Benutzung zu unterstützen. In dieser Arbeit werden daher zwei neue Evaluationsmethoden vorgeschlagen: 1) IntuiBeat-F als formative Evaluationsmethode und 2) IntuiBeat-S als summative Evaluationsmethode. Basierend auf Default-Interventionist-Theorien und bestehenden Definitionen intuitiver Benutzung werden die mentale Beanspruchung als zentrales objektives, das metakognitive Gefühl von Flüssigkeit als zentrales subjektives und die Effektivität als zentrales pragmatisches mit intuitiver Benutzung assoziiertes Merkmal identifiziert. Die Evaluation intuitiver Benutzung mithilfe von IntuiBeat-F und IntuiBeat-S ist vielversprechend, da es sich bei beiden Methoden um Inhibition basierende Rhythmuszweitaufgaben handelt und diese somit mentale Beanspruchung objektiv erfassen können. Das Potential beider Methoden wird im Hinblick auf vorherige Forschungsarbeiten zur zeitlich effizienten Evaluation von 3D-CUIs aus der Mensch-Computer-Interaktion und der Psychologie diskutiert. Aus dieser Diskussion werden empirische Forschungsfragen abgeleitet. Die erste Forschungsfrage untersucht die wissenschaftliche Güte von IntuiBeat-S. Im ersten, zweiten und dritten Experiment werden Paare von 3D-CUIs miteinander summativ verglichen (d.h. weniger vs. stärker intuitiv benutzbare User Interfaces). Dabei wird die wissenschaftliche Güte von IntuiBeat-S hinsichtlich der Hauptgütekriterien Objektivität, Reliabilität und Validität beurteilt. Die Ergebnisse zeigen, dass IntuiBeat-S eine hohe wissenschaftliche Güte bei der summativen Evaluation besitzt. Zudem macht es bei der Anwendung von IntuiBeat-S keinen Unterschied, ob der Rhythmus über die Ferse oder den Fußballen eingeben wird, und ob als Stichproben Studierende mit höherer oder geringerer Vorerfahrung bezüglich der Nutzung von 3D-CUIs verwendet werden. Die zweite Forschungsfrage untersucht die wissenschaftliche Güte von IntuiBeat-F. Im vierten, fünften, sechsten und siebten Experiment werden 3D-CUIs einzeln formativ evaluiert (d.h. entweder ein weniger oder stärker intuitiv benutzbares User Interface). Dabei wird die wissenschaftliche Güte von IntuiBeat-F hinsichtlich der Hauptgütekriterien Gründlichkeit, Gültigkeit und Zuverlässigkeit beurteilt. Die Ergebnisse zeigen, dass IntuiBeat-F eine hohe wissenschaftliche Güte bei der formativen Evaluation besitzt. Diese liegt bei strikter Anwendung der Methode (d.h. Berücksichtigung ausschließlich mit der Methode entdeckter Nutzungsprobleme) zwar höher, ist aber bei wenig strikter Anwendung der Methode (d.h. Berücksichtigung auch unabhängig von der Methode entdeckter Nutzungsprobleme) noch ausreichend hoch. Jedoch konnte erst die Entwicklung und Einführung einer zusätzlichen Analysesoftware im Zuge des sechsten und siebten Experiments die wissenschaftliche Güte von IntuiBeat-F hinsichtlich aller drei Hauptgütekriterien demonstrieren, da ohne deren Unterstützung IntuiBeat-F vom Evaluator nicht ausreichend gründlich angewendet wird. Die dritte Forschungsfrage untersucht, wie hoch die zeitliche Anwendungseffizienz beider Methoden als wichtiger Aspekt praktischer Güte im Vergleich zu bereits vorhandenen Evaluationsmethoden für intuitive Benutzung ist. Bezüglich der summativen Evaluation wird im zweiten Experiment eine höhere zeitliche Anwendungseffizienz von IntuiBeat-S im Vergleich zum aktuellen summativen Benchmark, der CHAI-Methode, sowohl bei der Evaluation von weniger als auch bei der von stärker intuitiv benutzbaren 3D-CUIs demonstriert. Auch bezüglich der formativen Evaluation konnten die Ergebnisse der letzten vier Experimente zeigen, dass die zeitliche Anwendungseffizienz von IntuiBeat-F im Vergleich zum aktuellen formativen Benchmark, dem Nutzertest mit retrospektivem Think-Aloud- Protokoll, sowohl bei der Evaluation von weniger als auch stärker intuitiv benutzbaren 3D-CUIs höher liegt. Dieser Unterschied bleibt bestehend, egal ob eine zusätzliche Analysesoftware vom Evaluator verwendet wird oder nicht. Als Ergebnis aller Experimente lässt sich feststellen, dass die wissenschaftliche Güte und die zeitliche Anwendungseffizienz beider Methoden zur Evaluation intuitiver Benutzung von 3D-CUIs mehr als zufriedenstellend beurteilt werden kann. Die Arbeit wird mit einer Diskussion des geleisteten Forschungsbeitrags geschlossen. Dabei werden Anregungen für künftige Forschung aus theoretischer (z.B. Berücksichtigung des Gefühls von Flüssigkeit bei der Evaluation), praktischer (z.B. Untersuchung der Anwendbarkeit beider Methoden in anderen Domänen) und methodischer (z.B. Beurteilung der praktischen Güte beider Methoden anhand anderer Kriterien) Perspektive gegeben.
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.
Stories are a powerful means to change recipients’ views on themselves by being transported into the story world and by identifying with story characters. Previous studies showed that recipients temporarily change in line with a story and its characters (assimilation). Conversely, assimilation might be less likely when recipients are less identified with story protagonists or less transported into a story by comparing themselves with a story character. This may lead to changes, which are opposite to a story and its characters (contrast). In two experiments, we manipulated transportation and experience taking via two written reviews (Experiment 1; N = 164) and by varying the perspective of the story’s narrator (Experiment 2; N = 79) of a short story about a negligent student. Recipients’ self-ratings in comparison to others, motives, and problem-solving behavior served as dependent variables. However, neither the review nor the perspective manipulation affected transportation or experience taking while reading the story. Against our expectations, highly transported recipients (in Study 1) and recipients with high experience taking (in Study 2) showed more persistency working on an anagram-solving task, even when controlling for trait conscientiousness. Our findings are critically discussed in light of previous research.
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.
In today’s social online world there is a variety of interaction and participatory possibilities which enable web users to actively produce content themselves.
This user-generated content is omnipresent in the web and there is growing evidence that it is used to select or evaluate professionally created online information.
The present study investigated how this surrounding content affects online advertising by drawing from social influence theory. Specifically, it was assumed that
web users sharing an interpersonal relationship (interpersonal influence) and/or a group membership (collective influence) with authors of user-generated content
which appears next to advertising on the web page are more strongly influenced in their response to the advertising than unrelated users. These assumptions were
tested in a 2 × 2 between-subject experiment with 118 students who were exposed to four different Facebook profiles that differed in terms of interpersonal
connection to the source (existent/non-existent) and collective connection to the source (existent/non-existent). The results show a significant impact in the case
of collective influence, but not in the case of interpersonal influence. The underlying mechanisms of this effect and implications of the results for online advertising
are discussed.
Disfluency as a Desirable Difficulty — The Effects of Letter Deletion on Monitoring and Performance
(2018)
Desirable difficulties initiate learning processes that foster performance. Such a desirable difficulty is generation, e.g., filling in deleted letters in a deleted letter text. Likewise, letter deletion is a manipulation of processing fluency: A deleted letter text is more difficult to process than an intact text. Disfluency theory also supposes that disfluency initiates analytic processes and thus, improves performance. However, performance is often not affected but, rather, monitoring is affected. The aim of this study is to propose a specification of the effects of disfluency as a desirable difficulty: We suppose that mentally filling in deleted letters activates analytic monitoring but not necessarily analytic cognitive processing and improved performance. Moreover, once activated, analytic monitoring should remain for succeeding fluent text. To test our assumptions, half of the students (n = 32) first learned with a disfluent (deleted letter) text and then with a fluent (intact) text. Results show no differences in monitoring between the disfluent and the fluent text. This supports our assumption that disfluency activates analytic monitoring that remains for succeeding fluent text. When the other half of the students (n = 33) first learned with a fluent and then with a disfluent text, differences in monitoring between the disfluent and the fluent text were found. Performance was significantly affected by fluency but in favor of the fluent texts, and hence, disfluency did not activate analytic cognitive processing. Thus, difficulties can foster analytic monitoring that remains for succeeding fluent text, but they do not necessarily improve performance. Further research is required to investigate how analytic monitoring can lead to improved cognitive processing and performance.
