TY - JOUR A1 - Wolf, Erik A1 - Döllinger, Nina A1 - Mal, David A1 - Wenninger, Stephan A1 - Bartl, Andrea A1 - Botsch, Mario A1 - Latoschik, Marc Erich A1 - Wienrich, Carolin T1 - Does distance matter? Embodiment and perception of personalized avatars in relation to the self-observation distance in virtual reality JF - Frontiers in Virtual Reality N2 - Virtual reality applications employing avatar embodiment typically use virtual mirrors to allow users to perceive their digital selves not only from a first-person but also from a holistic third-person perspective. However, due to distance-related biases such as the distance compression effect or a reduced relative rendering resolution, the self-observation distance (SOD) between the user and the virtual mirror might influence how users perceive their embodied avatar. Our article systematically investigates the effects of a short (1 m), middle (2.5 m), and far (4 m) SOD between users and mirror on the perception of their personalized and self-embodied avatars. The avatars were photorealistic reconstructed using state-of-the-art photogrammetric methods. Thirty participants repeatedly faced their real-time animated self-embodied avatars in each of the three SOD conditions, where they were repeatedly altered in their body weight, and participants rated the 1) sense of embodiment, 2) body weight perception, and 3) affective appraisal towards their avatar. We found that the different SODs are unlikely to influence any of our measures except for the perceived body weight estimation difficulty. Here, the participants perceived the difficulty significantly higher for the farthest SOD. We further found that the participants’ self-esteem significantly impacted their ability to modify their avatar’s body weight to their current body weight and that it positively correlated with the perceived attractiveness of the avatar. Additionally, the participants’ concerns about their body shape affected how eerie they perceived their avatars. The participants’ self-esteem and concerns about their body shape influenced the perceived body weight estimation difficulty. We conclude that the virtual mirror in embodiment scenarios can be freely placed and varied at a distance of one to four meters from the user without expecting major effects on the perception of the avatar. KW - virtual human KW - virtual body ownership KW - agency KW - body image distortion KW - body weight perception KW - body weight modification KW - affective appraisal KW - distance compression Y1 - 2022 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-299415 SN - 2673-4192 VL - 3 ER - TY - THES A1 - Winkler, Julia T1 - The Experience of Emotional Shifts as a Narrative Process: Investigating the Relationship of Emotional Shifts and Transportation and Their Roles in Narrative Persuasion T1 - Das Erleben von emotionalen Wechseln als narrativer Prozess: Untersuchung des Zusammenhangs zwischen emotional dynamischem Erleben von Geschichten und Transportation sowie ihrer Rolle im Kontext narrativer Persuasion N2 - Emotional shifts are often a fundamental part of the narrative experience and engrained into the schematic structures of stories. Recent theoretical work suggests that these shifts are key for narrative influence and are interconnected with transportation, a known mechanism of narrative effects. Empirical research examining this proposition is still scarce, inconclusive, and lacking measures that assess the experience of emotional shifts throughout a narrative to explain effects. This thesis aims to contribute to this research lacuna and investigates the link between emotional shifts, transportation, and story-consistent outcomes using different methods to measure emotional shifts in the moment they occur (Manuscript #1 and #2), and using various narrative stimuli (audiovisual, written, auditive). Manuscript #1 uses real-time-response (RTR) measurement to examine the relationship of valence shifts experienced during film viewing with transportation and post-exposure self-reported emotional flow. Manuscript #2 reports a pilot study and two experiments in which a self-probed emotional retrospection task is used to measure the number and intensity of emotional shifts during reading. I investigate the effect of reviews on transportation, the link between transportation and emotional shifts, and their respective associations with story-consistent attitudes, social sharing intentions, and donation behavior. In Manuscript #3, narrative structures are manipulated. Two experiments examine the effects of audio stories with shifting (positive-negative-positive) vs. positive-only emotional trajectories on the experience of happiness- and sadness-shifts, transportation, and post-exposure emotional flow. Transportation was positively linked to valence shifts (M#1), and the number and intensity of emotional shifts (M#2), and emotional flow (M#1, M#3). In M#3, transportation was predicted by shifts in happiness, but not sadness. Emotional flow was linked to shifts in happiness, sadness, and RTR valence (M#1, M#3). Emotional shifts and transportation were associated with social sharing intentions, but only transportation was linked to some story-consistent attitudes (affective attitudes in particular). N2 - Dynamisches emotionales Erleben ist oft charakteristisch für die Rezeption von Geschichten. Aktuelle theoretische Arbeiten postulieren, dass diese emotionalen Wechsel für den Einfluss von Narrationen entscheidend und mit Transportation, einem bekannten Mechanismus für narrative Wirkungen, verflochten sind. Empirische Evidenz zu dieser These ist noch rar, inkonsistent, und es kommt meist kein Prozessmaß emotionaler Wechsel zum Einsatz, um Effekte zu erklären. Die vorliegende Arbeit soll einen Beitrag zu dieser Forschungslücke leisten und untersucht den Zusammenhang zwischen emotionalen Wechseln, Transportation und persuasiven Wirkungen unter Verwendung verschiedener Stimuli (audiovisuell, schriftlich, auditiv) und Methoden zur Messung emotionaler Veränderungen im Moment ihres Auftretens (Manuskript 1 und 2). Manuskript #1 verwendet Real-Time-Response Messung (RTR) zur Untersuchung der Beziehung zwischen Valenzverschiebungen während der Filmrezeption, Transportation und retrospektiv selbstberichtetem Emotional Flow. Manuskript #2 berichtet eine Pilotstudie und zwei Experimente, die eine Self-Probed Emotional Retrospection Task zur Messung der Anzahl und Intensität emotionaler Wechsel während des Lesens verwenden. Die Experimente untersuchen die Wirkungen einer Rezensions-Manipulation auf Transportation sowie die Zusammenhänge zwischen Transportation, emotionalen Wechseln, Einstellungen, Absichten zum sozialen Teilen und Spendenverhalten. In Manuskript #3 werden Erzählstrukturen manipuliert. In zwei Experimenten werden die Wirkungen auditiver Geschichten mit wechselnden (positiv-negativ-positiv) bzw. nur positiven Strukturen auf erlebte Veränderungen von Freude und Trauer, Transportation, und Emotional Flow untersucht. Transportation stand in positivem Zusammenhang mit Valenzverschiebungen (M#1), der Anzahl und Intensität emotionaler Wechsel (M#2) und Emotional Flow (M#1, M#3). In M#3 wurde Transportation durch Veränderungen von Freude, aber nicht Trauer vorhergesagt. Emotional Flow war mit Veränderungen von Freude, Trauer und RTR-Valenzverschiebungen korreliert (M#1, M#3). Mehr und intensivere emotionale Wechsel und Transportation gingen mit einer erhöhten Absicht einher, Inhalte zu teilen bzw. über Inhalte zu reden. Nur Transportation war jedoch mit einigen der untersuchten (insbesondere affektiven) Einstellungen assoziiert. KW - Gefühl KW - Erzählung KW - Rezeptionsforschung KW - emotional shifts KW - emotion measurement KW - narrative effects KW - narrative persuasion KW - transportation KW - Medienwirkungsforschung KW - Massenmedien + Wirkung KW - Medien + Psychologie Y1 - 2023 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-321794 ER - TY - JOUR A1 - Wienrich, Carolin A1 - Reitelbach, Clemens A1 - Carolus, Astrid T1 - The Trustworthiness of Voice Assistants in the Context of Healthcare Investigating the Effect of Perceived Expertise on the Trustworthiness of Voice Assistants, Providers, Data Receivers, and Automatic Speech Recognition JF - Frontiers in Computer Science N2 - 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. KW - voice assistant KW - trustworthiness KW - trust KW - anamnesis tool KW - expertise framing (Min5-Max 8) Y1 - 2021 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-260209 VL - 3 ER - TY - JOUR A1 - Wienrich, Carolin A1 - Latoschik, Marc Erich T1 - eXtended Artificial Intelligence: New Prospects of Human-AI Interaction Research JF - Frontiers in Virtual Reality N2 - 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. KW - human-artificial intelligence interface KW - human-artificial intelligence interaction KW - XR-artificial intelligence continuum KW - XR-artificial intelligence combination KW - research methods KW - human-centered, human-robot KW - recommender system Y1 - 2021 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-260296 VL - 2 ER - TY - JOUR A1 - Wienrich, Carolin A1 - Komma, Philipp A1 - Vogt, Stephanie A1 - Latoschik, Marc E. T1 - Spatial Presence in Mixed Realities – Considerations About the Concept, Measures, Design, and Experiments JF - Frontiers in Virtual Reality N2 - 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. KW - mixed reality KW - virtual-reality-continuum KW - spatial presence KW - place-illusion KW - plausibility-illusion KW - transportation KW - realism Y1 - 2021 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-260328 VL - 2 ER - TY - JOUR A1 - Wienrich, Carolin A1 - Döllinger, Nina A1 - Hein, Rebecca T1 - Behavioral Framework of Immersive Technologies (BehaveFIT): How and why virtual reality can support behavioral change processes JF - Frontiers in Virtual Reality N2 - 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. KW - immersive technologies KW - behavior change KW - intervention design KW - intervention evaluation KW - framework KW - virtual reality KW - intention-behavior-gap KW - human-computer interaction Y1 - 2021 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-258796 VL - 2 ER - TY - JOUR A1 - Wienrich, Carolin A1 - Carolus, Astrid A1 - Roth-Isigkeit, David A1 - Hotho, Andreas T1 - Inhibitors and enablers to explainable AI success: a systematic examination of explanation complexity and individual characteristics JF - Multimodal Technologies and Interaction N2 - With the increasing adaptability and complexity of advisory artificial intelligence (AI)-based agents, the topics of explainable AI and human-centered AI are moving close together. Variations in the explanation itself have been widely studied, with some contradictory results. These could be due to users’ individual differences, which have rarely been systematically studied regarding their inhibiting or enabling effect on the fulfillment of explanation objectives (such as trust, understanding, or workload). This paper aims to shed light on the significance of human dimensions (gender, age, trust disposition, need for cognition, affinity for technology, self-efficacy, attitudes, and mind attribution) as well as their interplay with different explanation modes (no, simple, or complex explanation). Participants played the game Deal or No Deal while interacting with an AI-based agent. The agent gave advice to the participants on whether they should accept or reject the deals offered to them. As expected, giving an explanation had a positive influence on the explanation objectives. However, the users’ individual characteristics particularly reinforced the fulfillment of the objectives. The strongest predictor of objective fulfillment was the degree of attribution of human characteristics. The more human characteristics were attributed, the more trust was placed in the agent, advice was more likely to be accepted and understood, and important needs were satisfied during the interaction. Thus, the current work contributes to a better understanding of the design of explanations of an AI-based agent system that takes into account individual characteristics and meets the demand for both explainable and human-centered agent systems. KW - explainable AI KW - human-centered AI KW - recommender agent KW - explanation complexity KW - individual differences Y1 - 2022 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-297288 SN - 2414-4088 VL - 6 IS - 12 ER - TY - JOUR A1 - Wienrich, Carolin A1 - Carolus, Astrid A1 - Markus, André A1 - Augustin, Yannik A1 - Pfister, Jan A1 - Hotho, Andreas T1 - Long-term effects of perceived friendship with intelligent voice assistants on usage behavior, user experience, and social perceptions JF - Computers N2 - Social patterns and roles can develop when users talk to intelligent voice assistants (IVAs) daily. The current study investigates whether users assign different roles to devices and how this affects their usage behavior, user experience, and social perceptions. Since social roles take time to establish, we equipped 106 participants with Alexa or Google assistants and some smart home devices and observed their interactions for nine months. We analyzed diverse subjective (questionnaire) and objective data (interaction data). By combining social science and data science analyses, we identified two distinct clusters—users who assigned a friendship role to IVAs over time and users who did not. Interestingly, these clusters exhibited significant differences in their usage behavior, user experience, and social perceptions of the devices. For example, participants who assigned a role to IVAs attributed more friendship to them used them more frequently, reported more enjoyment during interactions, and perceived more empathy for IVAs. In addition, these users had distinct personal requirements, for example, they reported more loneliness. This study provides valuable insights into the role-specific effects and consequences of voice assistants. Recent developments in conversational language models such as ChatGPT suggest that the findings of this study could make an important contribution to the design of dialogic human–AI interactions. KW - intelligent voice assistant KW - smart speaker KW - social relationship KW - social role KW - long-term analysis KW - social interaction KW - human–computer interaction KW - anthropomorphism Y1 - 2023 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-313552 SN - 2073-431X VL - 12 IS - 4 ER - TY - JOUR A1 - Wienrich, Carolin A1 - Carolus, Astrid T1 - Development of an Instrument to Measure Conceptualizations and Competencies About Conversational Agents on the Example of Smart Speakers JF - Frontiers in Computer Science N2 - 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. KW - artificial intelligence literacy KW - artificial intelligence education KW - voice-based artificial intelligence KW - conversational agents KW - measurement Y1 - 2021 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-260198 VL - 3 ER - TY - JOUR A1 - Weber, Silvana A1 - Lorenz, Christopher A1 - Hemmings, Nicola T1 - Improving stress and positive mental health at work via an app-based intervention: a large-scale multi-center randomized control trial JF - Frontiers in Psychology N2 - Mobile health interventions (i.e., “apps”) are used to address mental health and are an increasingly popular method available to both individuals and organizations to manage workplace stress. However, at present, there is a lack of research on the effectiveness of mobile health interventions in counteracting or improving stress-related health problems, particularly in naturalistic, non-clinical settings. This project aimed at validating a mobile health intervention (which is theoretically grounded in the Job Demands-Resources Model) in preventing and managing stress at work. Within the mobile health intervention, employees make an evidence-based, personalized, psycho-educational journey to build further resources, and thus, reduce stress. A large-scale longitudinal randomized control trial, conducted with six European companies over 6 weeks using four measurement points, examined indicators of mental health via measures of stress, wellbeing, resilience, and sleep. The data were analyzed by means of hierarchical multilevel models for repeated measures, including both self-report measures and user behavior metrics from the app. The results (n = 532) suggest that using the mobile health intervention (vs. waitlist control group) significantly improved stress and wellbeing over time. Higher engagement in the intervention increased the beneficial effects. Additionally, use of the sleep tracking function led to an improvement in sleeping troubles. The intervention had no effects on measures of physical health or social community at work. Theoretical and practical implications of these findings are discussed, focusing on benefits and challenges of using technological solutions for organizations to support individuals’ mental health in the workplace. KW - stress KW - work KW - RCT KW - mental health KW - digital health KW - mobile health intervention KW - smartphone app Y1 - 2019 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-194337 SN - 1664-1078 VL - 10 IS - 2745 ER - TY - JOUR A1 - von Mammen, Sebastian Albrecht A1 - Wagner, Daniel A1 - Knote, Andreas A1 - Taskin, Umut T1 - Interactive simulations of biohybrid systems JF - Frontiers in Robotics and AI N2 - 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. KW - biohybrid systems KW - augmented reality KW - virtual reality KW - user interfaces KW - biological development KW - generative systems Y1 - 2017 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-195755 SN - 2296-9144 VL - 4 ER - TY - THES A1 - von Andrian-Werburg, Maximilian T. P. T1 - Sex/Gender: A Revised Integrative Model for Sex/Gender Differences and Its Application on Media Research T1 - Geschlecht?! Eine Revision des Integrativen Modells für Geschlechtsunterschiede und dessen medienpsychologische Anwendung N2 - Far more women than men like to watch sad films, and far more men than women use video-based pornography. Do sex-affiliated biological-evolutionary influences cause these apparent differences, are they caused by social-cultural ones associated with gender, or do these dimensions interact? In the first step of this thesis, the Integrative Model for Sex/Gender Differences was thoroughly discussed and substantially revised. The model subsumed the current state of knowledge in psychology, which is based on wrong assumptions or outdated knowledge. In the second chapter, the Revised Integrative Model for Sex/Gender Differences yielded a theoretical guide to drive an extensive literature review for studies that used biological- evolutionary variables to predict sex/gender differences in media selection, use, and effects. In the study process, a large number of 6231 study titles and, if these appeared promising, abstracts were assessed for eligibility. In sum, only 39 studies were discovered that were attached to the topics of the revised integrative model and briefly outlined. Topics researched were as broad as exploring the potential of online dating advertisements to evaluate Sexual Strategies Theory and assess neuronal sex differences that affect video game and website use. The following chapter dealt with biopsychosocial predictor variables of pornography use, which appeared to be strongly affected by biological-evolutionary variables like the sex drive. The last empirical chapter assessed predictor variables for sad film use, which were social-culturally driven variables, such as the masculine gender role affecting the use of sad films. Men are taught that the sadness a sad film induces in them is not a socially desirable emotion to experience for them. Therefore, they like to watch sad films less in the first place. The final discussion highlighted that in line with recent acknowledgments in psychology science, human behavior can only be sufficiently explained if nature and nurture approaches for research are combined. N2 - Weit mehr Frauen als Männer sehen sich gerne traurige Filme an, und weit mehr Männer als Frauen nutzen videobasierte Pornografie. Diese beiden offensichtlichen Geschlechtsunterschiede dienen in empirischen Beispielen in der vorliegenden Dissertation der Erforschung der Frage ob Geschlechtsunterschiede eher auf biologisch-evolutionäre Einflüsse (sex), auf soziokulturelle Einflüsse (gender), oder aber aus Interaktionen aus beiden Themengebieten zurückzuführen sind. Im ersten Schritt dieser Arbeit wurde hierzu das Integrative Modell für Geschlechtsunterschiede diskutiert und grundlegend überarbeitet. Das Modell subsumiert den vorhergehenden Wissens- stand zur Entstehungsgeschichte von Geschlechtsunterschieden in der Psychologie, welcher jedoch zu Teilen auf falschen Annahmen oder veraltetem Wissen beruht. Im zweiten Kapitel lieferte das überarbeitete Integrative Modell für Geschlechtsunterschiede einen theoretischen Leitfaden für eine umfangreiche Literaturrecherche nach Studien, die biologisch-evolutionäre Variablen zur Vorhersage von Geschlechtsunterschieden bei der Medienauswahl, -nutzung und -wirkung verwendeten. Dabei wurde eine große Anzahl von 6231 Studientiteln und, falls die Titel vielversprechend erschienen, auch Abstracts auf ihre Eignung geprüft. Insgesamt wurden 39 Studien gefunden, die den Themen des überarbeiteten integrativen Modells zugeordnet werden konnten. Diese untersuchten breitgefächerte Themen wie die Erforschung des Inhalts von Online-Dating-Anzeigen zur Evaluation der Sexual Strategies Theory hin zur Untersuchung von neuronalen Geschlechtsunterschieden, die in Verdacht stehen die Nutzung von Videospielen und Websiten zu beeinflussen. Das darauffolgende Kapitel befasste sich mit biopsychosozialen Prädiktorvariablen von Pornografiekonsum, welcher offenbar stark von biologisch-evolutionären Variablen wie dem Sexualtrieb beeinflusst wird. Im letzten empirischen Kapitel wurden Prädiktorvariablen für die Nutzung trauriger Filme untersucht. Das Gefallen trauriger Filme wird stark von sozial-kulturellen Variablen, wie z. B. durch die männliche Geschlechterrolle, beeinflusst. Männern wird durch Erziehung beigebracht, dass die Trauer, die solch Film in ihnen auslöst, keine sozial akzeptable Emotion für sie ist. Daher sehen sie sich traurige Filme von vornherein weniger gern an. In der abschließenden Diskussion wird hervorgehoben, dass nach neueren Erkenntnissen der Psychologie menschliches Verhalten nur dann hinreichend erklärt werden kann, wenn biologisch-evolutionäre und sozial-kulturelle Forschungsansätze kombiniert werden. N2 - Few topics have been the subject of more controversy than those encapsulated by the terms "sex" and "gender". Social-cultural and biological-evolutionary argumentation patterns frequently clash and especially the public debate appears to be stuck in a stalemate between the two competing parties. From a psychological perspective both topics appear deeply intertwined and are not easy to be separated. This study pursues an integrative approach to better understand the roots of differences best subsumed under the term sex/gender. It will become apparent that both nature and nurture variables interact and form the complex system of human behavior and experience. KW - Geschlecht KW - Neue Medien KW - Pornografie KW - Drama KW - Evolutionspsychologie KW - Sex/Gender KW - Biopsychosocial KW - Media Research Y1 - 2024 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-345669 SN - 978-3-95826-236-2 SN - 978-3-95826-237-9 N1 - Parallel erschienen als Druckausgabe bei Würzburg University Press, ISBN 978-3-95826-236-2, 33,80 Euro. PB - Würzburg University Press CY - Würzburg ER - TY - THES A1 - Tscharn, Robert T1 - Innovative And Age-Inclusive Interaction Design with Image-Schematic Metaphors T1 - Innovatives und Alters-Inklusives Interaktionsdesign mit Image-Schematischen Metaphern N2 - The field of human-computer interaction (HCI) strives for innovative user interfaces. Innovative and novel user interfaces are a challenge for a growing population of older users and endanger older adults to be excluded from an increasingly digital world. This is because older adults often have lower cognitive abilities and little prior experiences with technology. This thesis aims at resolving the tension between innovation and age-inclusiveness by developing user interfaces that can be used regardless of cognitive abilities and technology-dependent prior knowledge. The method of image-schematic metaphors holds promises for innovative and age-inclusive interaction design. Image-schematic metaphors represent a form of technology-independent prior knowledge. They reveal basic mental models and can be gathered in language (e.g. bank account is container from "I put money into my bank account"). Based on a discussion of previous applications of image-schematic metaphors in HCI, the present work derives three empirical research questions regarding image-schematic metaphors for innovative and age-inclusive interaction design. The first research question addresses the yet untested assumption that younger and older adults overlap in their technology-independent prior knowledge and, therefore, their usage of image-schematic metaphors. In study 1, a total of 41 participants described abstract concepts from the domains of online banking and everyday life. In study 2, ten contextual interviews were conducted. In both studies, younger and older adults showed a substantial overlap of 70% to 75%, indicating that also their mental models overlap substantially. The second research question addresses the applicability and potential of image-schematic metaphors for innovative design from the perspective of designers. In study 3, 18 student design teams completed an ideation process with either an affinity diagram as the industry standard, image-schematic metaphors or both methods in combination and created paper prototypes. The image-schematic metaphor method alone, but not the combination of both methods, was readily adopted and applied just as a well as the more familiar standard method. In study 4, professional interaction designers created prototypes either with or without image-schematic metaphors. In both studies, the method of image-schematic metaphors was perceived as applicable and creativity stimulating. The third research question addresses whether designs that explicitly follow image-schematic metaphors are more innovative and age-inclusive regarding differences in cognitive abilities and prior technological knowledge. In two experimental studies (study 5 and 6) involving a total of 54 younger and 53 older adults, prototypes that were designed with image-schematic metaphors were perceived as more innovative compared to those who were designed without image-schematic metaphors. Moreover, the impact of prior technological knowledge on interaction was reduced for prototypes that had been designed with image-schematic metaphors. However, participants' cognitive abilities and age still influenced the interaction significantly. The present work provides empirical as well as methodological findings that can help to promote the method of image-schematic metaphors in interaction design. As a result of these studies it can be concluded that the image-schematic metaphors are an applicable and effective method for innovative user interfaces that can be used regardless of prior technological knowledge. N2 - Innovative Benutzungsoberflächen sind eines der Hauptziele der Mensch-Computer Interaktion. Diese neuartigen Benutzungsoberflächen sind eine Herausforderung gerade für ältere Benutzer und drohen diese aus der immer digitaleren Welt auszuschließen. Hierbei spielen abnehmende kognitive Fähigkeiten und eine geringere Vorerfahrung mit Technologie eine wichtige Rolle. Diese Arbeit zielt darauf ab, die Spannung zwischen Innovation und Alters-Inklusivität zu verringern und Benutzungsoberflächen zu entwickeln, die unabhängig von kognitiven Fähigkeiten und technologieabhängigem Vorwissen benutzt werden können. Die Methode der image-schematischen Metaphern verspricht innovative und zugleich alters-inklusives Interaktionsdesign. Image-schematische Metaphern stellen eine technologieunabhängige Form von Vorwissen dar. Sie offenbaren grundlegende mentale Modelle und können aus metaphorischer Sprache extrahiert werden (z.B. Bankkonto ist Container ausgehend von "Geld ein}zahlen). Die vorliegende Arbeit leitet aus vorangegangen Anwendung von image-schematischen Metaphern im Bereich der Mensch-Computer Interaktion drei empirische Forschungsfragen mit dem Fokus auf innovatives und alters-inklusives Interaktionsdesign ab. Die erste Forschungsfrage behandelt die bisher ungetestete Annahme, dass junge und ältere Menschen in ihrem technologieunabhängigem Vorwissen und damit auch im Gebrauch image-schematischer Metaphern übereinstimmen. In Studie 1 beschrieben 41 Probanden abstrakte Konzepte in den Bereichen Online Banking und Alltag. In Studie 2 wurden zehn kontextuelle Interviews durchgeführt. In beiden Studien wurde eine Übereinstimmung zwischen 70% und 75% gefunden, was auf eine substantielle Übereinstimmung der mentalen Modelle hinweist. Die zweite Forschungsfrage zielte auf die Anwendbarkeit und das Potential image-schematischer Metaphern für innovatives Design aus der Perspektive von Designern ab. In Studie 3 durchliefen 18 studentische Designteams einen Ideenfindungsprozess mit Prototypenerstellung, der entweder auf einem Affinity Diagramm als Industriestandard, image-schematischen Metaphern oder beiden Ansätzen in Kombination basierte. Die Methode der image-schematischen Metaphern, aber nicht die Kombination beider Methoden, war ebenso leicht anwendbar wie die bekanntere Standardmethode. In Studie 4 erstellten professionelle Interaktionsdesigner Prototypen mit oder ohne image-schematische Metaphern. In beiden Studien wurde die neue Methode als leicht anwendbar und die Kreativität stimulierend wahrgenommen. Die dritte Forschungsfrage ging der Frage nach, ob Prototypen, die explizit auf image-schematischen Metaphern basieren, tatsächlich innovativer wahrgenommen werden und alters-inklusiver bezüglich kognitiver Fähigkeiten und Technologievorwissen sind. In zwei experimentellen Studien (Studie 5 und 6) mit insgesamt 54 jüngeren und 53 älteren Menschen wurden Prototypen, die mit image-schematischen Metaphern entwickelt worden waren, als innovativer wahrgenommen als solche, die nicht explizit mit der neuen Methode entwickelt worden waren. Zudem war der Einfluss von Technologievorwissen auf die Interaktion geringer für Prototypen, die mit image-schematischen Metaphern erstellt worden waren. Der Einfluss von kognitiven Fähigkeiten und Alter auf die Interaktion blieb jedoch signifikant. Die vorliegende Arbeit liefert sowohl in empirischer als auch methodischer Hinsicht einen Beitrag zur Weiterentwicklung der Methode der image-schematischen Metaphern im Interaktionsdesign. Als Ergebnis dieser Arbeit lässt sich festhalten, dass image-schematische Metaphern eine leicht anwendbare und effektive Methode darstellen, um innovative Benutzungsoberflächen zu entwickeln, die unabhängig von Technologievorwissen benutzt werden können. KW - Mensch-Maschine-Kommunikation KW - Innovation KW - Human-Computer Interaction KW - Innovation KW - Experimental Studies KW - Interaction Design KW - Methodology KW - Benutzeroberfläche Y1 - 2019 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-175762 ER - TY - JOUR A1 - Stein, Jan‐Philipp A1 - Yeo, Jiyeon T1 - Investigating meal‐concurrent media use: Social and dispositional predictors, intercultural differences, and the novel media phenomenon of “mukbang” eating broadcasts JF - Human Behavior and Emerging Technologies N2 - Meal-concurrent media use has been linked to several problematic outcomes, including higher caloric intake and an increased risk for obesity. Nevertheless, the sociocultural and dispositional predictors of using media while eating are not yet well-understood, including potential cross-cultural differences. Inspired by the recent emergence of a new food-related media phenomenon called “mukbang”—digital eating broadcasts that have become immensely popular throughout East and Southeast Asia—we inquire 296 participants from two cultures (Germany and South Korea) about their meal-concurrent media use. Our results suggest that South Koreans tend to use media more frequently during meals than Germans, especially for social purposes. Meanwhile, younger age only predicts meal-concurrent media use in the German sample. Apart from that, however, many other examined predictors (e.g., gender, living situation, body-esteem, the Big Five) remain statistically insignificant, indicating notable universality for the behavior in question. In the second part of our study, we then put special focus on the emerging mukbang trend and conduct a theory-driven exploration of its gratifications. Doing so, we find that participants' parasocial and social experiences during eating broadcasts significantly predict their enjoyment of the genre. KW - big five KW - body esteem KW - cross-cultural comparison KW - loneliness KW - parasocial relationship KW - meal-concurrent media use Y1 - 2021 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-257482 VL - 3 IS - 5 ER - TY - JOUR A1 - Stein, Jan-Philipp A1 - Cimander, Paula A1 - Appel, Markus T1 - Power-posing robots: the influence of a humanoid robot’s posture and size on its perceived dominance, competence, eeriness, and threat JF - International Journal of Social Robotics N2 - When interacting with sophisticated digital technologies, people often fall back on the same interaction scripts they apply to the communication with other humans—especially if the technology in question provides strong anthropomorphic cues (e.g., a human-like embodiment). Accordingly, research indicates that observers tend to interpret the body language of social robots in the same way as they would with another human being. Backed by initial evidence, we assumed that a humanoid robot will be considered as more dominant and competent, but also as more eerie and threatening once it strikes a so-called power pose. Moreover, we pursued the research question whether these effects might be accentuated by the robot’s body size. To this end, the current study presented 204 participants with pictures of the robot NAO in different poses (expansive vs. constrictive), while also manipulating its height (child-sized vs. adult-sized). Our results show that NAO’s posture indeed exerted strong effects on perceptions of dominance and competence. Conversely, participants’ threat and eeriness ratings remained statistically independent of the robot’s depicted body language. Further, we found that the machine’s size did not affect any of the measured interpersonal perceptions in a notable way. The study findings are discussed considering limitations and future research directions. KW - robot KW - humanoid KW - embodiment KW - body language KW - posture KW - nonverbal communication Y1 - 2022 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-324502 SN - 1875-4791 VL - 14 IS - 6 ER - TY - JOUR A1 - Sonnenberg, Christoph A1 - Bannert, Maria T1 - Discovering the Effects of Metacognitive Prompts on the Sequential Structure of SRL-Processes Using Process Mining Techniques JF - Journal of Learning Analystics N2 - According to research examining self‐regulated learning (SRL), we regard individual regulation as a specific sequence of regulatory activities. Ideally, students perform various learning activities, such as analyzing, monitoring, and evaluating cognitive and motivational aspects during learning. Metacognitive prompts can foster SRL by inducing regulatory activities, which, in turn, improve the learning outcome. However, the specific effects of metacognitive support on the dynamic characteristics of SRL are not understood. Therefore, the aim of our study was to analyze the effects of metacognitive prompts on learning processes and outcomes during a computer‐based learning task. Participants of the experimental group (EG, n=35) were supported by metacognitive prompts, whereas participants of the control group (CG, n=35) received no support. Data regarding learning processes were obtained by concurrent think‐aloud protocols. The EG exhibited significantly more metacognitive learning events than did the CG. Furthermore, these regulatory activities correspond positively with learning outcomes. Process mining techniques were used to analyze sequential patterns. Our findings indicate differences in the process models of the EG and CG and demonstrate the added value of taking the order of learning activities into account by discovering regulatory patterns. KW - HeuristicsMiner algorithm KW - self‐regulated learning KW - metacognitive prompting KW - process analysis KW - process mining KW - think‐aloud data Y1 - 2015 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-152362 UR - http://learning-analytics.info/journals/index.php/JLA/article/view/4090 SN - 1929‐7750 N1 - Dieser Artikel ist auch Bestandteil der Dissertation: Sonnenberg, Christoph: Analyzing Technology-Enhanced Learning Processes: What Can Process Mining Techniques Contribute to the Evaluation of Instructional Support?. - Würzburg, Univ., Diss., 2017. - [online]. URN: urn:nbn:de:bvb:20-opus-152354 VL - 2 IS - 1 ER - TY - JOUR A1 - Sonnenberg, Christoph A1 - Bannert, Maria T1 - Evaluating the Impact of Instructional Support Using Data Mining and Process Mining: A Micro-Level Analysis of the Effectiveness of Metacognitive Prompts JF - Journal of Educational Data Mining N2 - In computer-supported learning environments, the deployment of self-regulatory skills represents an essential prerequisite for successful learning. Metacognitive prompts are a promising type of instructional support to activate students’ strategic learning activities. However, despite positive effects in previous studies, there are still a large number of students who do not benefit from provided support. Therefore, it may be necessary to consider explicitly the conditions under which a prompt is beneficial for a student, i.e., so-called adaptive scaffolding. The current study aims to (i) classify the effectiveness of prompts on regulatory behavior, (ii) investigate the correspondence of the classification with learning outcome, and (iii) discover the conditions under which prompts induce regulatory activities (i.e., the proper temporal positioning of prompts). The think-aloud data of an experiment in which metacognitive prompts supported the experimental group (n = 35) was used to distinguish between effective and non-effective prompts. Students’ activities preceding the prompt presentation were analyzed using data mining and process mining techniques. The results indicate that approximately half of the presented prompts induced metacognitive learning activities as expected. Moreover, the number of induced monitoring activities correlates positively with transfer performance. Finally, the occurrence of orientation and monitoring activities, which are not well-embedded in the course of learning, increases the effectiveness of a presented prompt. In general, our findings demonstrate the benefits of investigating metacognitive support using process data, which can provide implications for the design of effective instructional support. KW - process mining KW - think-aloud data KW - metacognitive prompting KW - micro-level analysis KW - instructional support KW - self-regulated learning Y1 - 2016 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-152375 UR - http://www.educationaldatamining.org/JEDM/index.php/JEDM/article/view/JEDM2016-8-2-3 N1 - Dieser Artikel ist auch Bestandteil der Dissertation: Sonnenberg, Christoph: Analyzing Technology-Enhanced Learning Processes: What Can Process Mining Techniques Contribute to the Evaluation of Instructional Support?. - Würzburg, Univ., Diss., 2017. - [online]. URN: urn:nbn:de:bvb:20-opus-152354 VL - 8 IS - 2 ER - TY - THES A1 - Sonnenberg, Christoph T1 - Analyzing Technology-Enhanced Learning Processes: What Can Process Mining Techniques Contribute to the Evaluation of Instructional Support? T1 - Eine Analyse technologieunterstützter Lernprozesse: Welchen Beitrag kann Process Mining für die Bewertung instruktionaler Hilfe leisten? N2 - The current dissertation addresses the analysis of technology-enhanced learning processes by using Process Mining techniques. For this purpose, students’ coded think-aloud data served as the measurement of the learning process, in order to assess the potential of this analysis method for evaluating the impact of instructional support. The increasing use of digital media in higher education and further educational sectors enables new potentials. However, it also poses new challenges to students, especially regarding the self-regulation of their learning process. To help students with optimally making progress towards their learning goals, instructional support is provided during learning. Besides the use of questionnaires and tests for the assessment of learning, researchers make use increasingly of process data to evaluate the effects of provided support. The analysis of observed behavioral traces while learning (e.g., log files, eye movements, verbal reports) allows detailed insights into the student’s activities as well as the impact of interventions on the learning process. However, new analytical challenges emerge, especially when going beyond the analysis of pure frequencies of observed events. For example, the question how to deal with temporal dynamics and sequences of learning activities arises. Against this background, the current dissertation concentrates on the application of Process Mining techniques for the detailed analysis of learning processes. In particular, the focus is on the additional value of this approach in comparison to a frequency-based analysis, and therefore on the potential of Process Mining for the evaluation of instructional support. An extensive laboratory study with 70 university students, which was conducted to investigate the impact of a support measure, served as the basis for pursuing the research agenda of this dissertation. Metacognitive prompts supported students in the experimental group (n = 35) during a 40-minute hypermedia learning session; whereas the control group (n = 35) received no support. Approximately three weeks later, all students participated in another learning session; however, this time all students learned without any help. The participants were instructed to verbalize their learning activities concurrently while learning. In the three analyses of this dissertation, the coded think aloud data were examined in detail by using frequency-based methods as well as Process Mining techniques. The first analysis addressed the comparison of the learning activities between the experimental and control groups during the first learning session. This study concentrated on the research questions whether metacognitive prompting increases the number of metacognitive learning activities, whether a higher number of these learning activities corresponds with learning outcome (mediation), and which differences regarding the sequential structure of learning activities can be revealed. The second analysis investigated the impact of the individual prompts as well as the conditions of their effectiveness on the micro level. In addition to Process Mining, we used a data mining approach to compare the findings of both analysis methods. More specifically, we classified the prompts by their effectiveness, and we examined the learning activities preceding and following the presentation of instructional support. Finally, the third analysis considered the long-term effects of metacognitive prompting on the learning process during another learning session without support. It was the key objective of this study to examine which fostered learning activities and process patterns remained stable during the second learning session. Overall, all three analyses indicated the additional value of Process Mining in comparison to a frequency-based analysis. Especially when conceptualizing the learning process as a dynamic sequence of multiple activities, Process Mining allows identifying regulatory loops and crucial routing points of the process. These findings might contribute to optimizing intervention strategies. However, before drawing conclusions for the design of instructional support based on the revealed process patterns, additional analyses need to investigate the generalizability of results. Moreover, the application of Process Mining remains challenging because guidelines for analytical decisions and parameter settings in technology-enhanced learning context are currently missing. Therefore, future studies need to examine further the potential of Process Mining as well as related analysis methods to provide researchers with concrete recommendations for use. Nevertheless, the application of Process Mining techniques can already contribute to advance the understanding of the impact of instructional support through the use of fine-grained process data. N2 - Die vorliegende Dissertation beschäftigt sich mit der Analyse technologieunterstützter Lernprozesse unter Verwendung von Process Mining Methoden. Dabei werden kodierte Protokolle des lauten Denkens als Prozessmaß genutzt, um eine Bewertung des Potentials dieses Analyseansatzes für die Evaluation der Effekte instruktionaler Hilfe vornehmen zu können. Die zunehmende Verbreitung digitaler Medien in der Hochschulbildung und weiteren Ausbildungssektoren schafft neue Potentiale, allerdings auch neue Anforderungen an den Lerner, insbesondere an die Regulation seines Lernprozesses. Um ihn dabei zu unterstützen seinen Lernfortschritt optimal zu gestalten, wird ihm während des Lernens instruktionale Hilfe angeboten. Neben der Evaluation mittels Fragebögen und Testverfahren wird die Wirksamkeit der angebotenen Unterstützung zunehmend durch Prozessdaten bewertet. Die Analyse von beobachteten Verhaltensspuren während des Lernens (z.B. Logfiles, Blickbewegungen, Verbalprotokolle) ermöglicht einen detaillierten Einblick in die Lernhandlungen und die Folgen von Unterstützungsmaßnahmen. Allerdings stellen sich auch eine Reihe von neuen analytischen Herausforderungen, wie der Umgang mit zeitlichen Dynamiken und Sequenzen von Lernhandlungen, insbesondere wenn man über Häufigkeitsanalysen der beobachteten Ereignisse hinausgehen möchte. Vor diesem Hintergrund beschäftigt sich die vorliegende Arbeit mit der Anwendung von Process Mining Methoden zur detaillierten Betrachtung von Lernprozessen. Insbesondere der Mehrwert dieses Ansatzes gegenüber einer reinen Häufigkeitsanalyse und somit die Potentiale von Process Mining für die Evaluation von Fördermaßen sollen herausgestellt werden. Als Grundlage für die Bearbeitung der Fragestellung diente eine umfangreiche Laborstudie mit 70 Universitätsstudierenden, die durchgeführt wurde um die Effekte einer instruktionalen Fördermaßnahme zu prüfen. Die Probanden der Experimentalgruppe (n = 35) erhielten in einer 40-minütigen Hypermedia-Lernsitzung eine Förderung durch metakognitive Prompts, während die Kontrollgruppe (n = 35) ohne Hilfe lernte. In einer weiteren Lernsitzung drei Wochen später bearbeiteten alle Teilnehmer eine weitere Lerneinheit, diesmal ohne Unterstützung für alle Probanden. Während des Lernens wurden alle Teilnehmer instruiert, ihre Lernhandlungen kontinuierlich zu verbalisieren. Die kodierten Verbalprotokolle wurden in den drei Analysen dieser Dissertation detailliert mit Häufigkeits- und Process Mining Analysen untersucht. Die erste Analyse konzentrierte sich auf den Vergleich der Lernhandlungen der Experimental- und Kontrollgruppe während der ersten Sitzung. Es wurde den Fragen nachgegangen, ob metakognitive Prompts die Lerner dazu anregen mehr metakognitive Lernhandlungen auszuführen, ob eine höhere Anzahl dieser Lernhandlungen mit dem Lernerfolg zusammenhängt (Mediation) und welche Unterschiede sich in den Abfolgen der Lernhandlungen finden lassen. In der zweiten Analyse wurden die Effekte der einzelnen Prompts sowie die Bedingungen für ihre Wirksamkeit auf einer sehr detaillierten Ebene betrachtet. Zusätzlich zu Process Mining wurde auch eine Data Mining Methode eingesetzt, um deren Befunde zu vergleichen. Im Detail fanden eine Klassifikation der Prompts anhand ihrer Effektivität und eine Untersuchung der kodierten Lernaktivitäten vor und nach der Präsentation instruktionaler Hilfe statt. Schließlich untersuchte die dritte Analyse die langfristigen Effekte metakognitiver Prompts auf den Lernprozess in einer weiteren Lernsitzung ohne Unterstützung. Hier stand die Frage im Mittelpunkt, welche geförderten Lernaktivitäten und Prozessmuster während der zweiten Lernsitzung stabil blieben. Insgesamt belegen die Ergebnisse aller drei durchgeführten Analysen den Mehrwert von Process Mining im Vergleich zu reinen häufigkeitsbasierten Analysemethoden. Insbesondere unter Betrachtung des Lernprozesses als dynamische Abfolge von mehreren Lernhandlungen, ermöglicht Process Mining die Identifikation von Regulationsschleifen und zentralen Verzweigungen des Prozesses. Diese Befunde könnten zur Optimierung von Interventionen verwendet werden. Bevor aus den aufgedeckten Prozessmustern Schlussfolgerungen für die Gestaltung instruktionaler Hilfe gezogen werden können, müssen allerdings weitere Analysen erst noch die Generalisierbarkeit der Befunde belegen. Darüber hinaus bleibt die Anwendung von Process Mining herausfordernd, da derzeit keine Richtlinien für analytische Entscheidungen und Parametereinstellungen für technologieunterstützte Lernkontexte vorhanden sind. Darum müssen in Zukunft weitere Studien das Potential von Process Mining und verwandten Analysemethoden betrachten, um Forschern konkrete Anwendungsempfehlungen zur Verfügung stellen zu können. Generell kann Process Mining aber bereits jetzt dazu beitragen, das Verständnis der Auswirkungen instruktionaler Hilfe auf der Prozessebene voran zu treiben. KW - Selbstgesteuertes Lernen KW - Prozessanalyse KW - Process Mining KW - Metacognitive Prompting KW - Instructional Support KW - Technology-Enhanced Learning KW - Self-Regulated Learning KW - Metakognition KW - Lautes Denken Y1 - 2017 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-152354 ER - TY - JOUR A1 - Schwab, Frank A1 - Hennighausen, Christine A1 - Adler, Dorothea C. A1 - Carolus, Astrid T1 - Television Is Still “Easy” and Print Is Still “Tough”? More Than 30 Years of Research on the Amount of Invested Mental Effort JF - Frontiers in Psychology N2 - We provide a literature overview of 30 years of research on the amount of invested mental effort (AIME, Salomon, 1984), illuminating relevant literature in this field. Since the introduction of AIME, this concept appears to have vanished. To obtain a clearer picture of where the theory of AIME has diffused, we conducted a literature search focusing on the period 1985–2015. We examined scientific articles (N = 244) that cite Salomon (1984) and content-analyzed their keywords. Based on these keywords, we identified seven content clusters: affect and motivation, application fields, cognition and learning, education and teaching, media technology, learning with media technology, and methods. We present selected works of each content cluster and describe in which research field the articles had been published. Results indicate that AIME was most commonly (but not exclusively) referred to in the area of educational psychology indicating its importance regarding learning and education, thereby investigating print and TV, as well as new media. From a methodological perspective, research applied various research methods (e.g., longitudinal studies, experimental designs, theoretical analysis) and samples (e.g., children, college students, low income families). From these findings, the importance of AIME for further research is discussed. KW - AIME KW - amount of invested mental effort KW - literature review KW - content-analysis KW - content cluster Y1 - 2018 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-189965 SN - 1664-1078 VL - 9 IS - 1098 ER - TY - THES A1 - Schneider, Florian Alexander T1 - Voice Assistants are Social Actors – An Empirical Analysis of Media Equation Effects in Human-Voice Assistant Interaction T1 - Sprachassistenten als soziale Akteure - Eine empirische Untersuchung von Media Equation Effekten in der Mensch-Sprachassistenten Interaktion N2 - Ownership and usage of personal voice assistant devices like Amazon Echo or Google Home have increased drastically over the last decade since their market launch. This thesis builds upon existing computers are social actors (CASA) and media equation research that is concerned with humans displaying social reactions usually exclusive to human-human interaction when interacting with media and technological devices. CASA research has been conducted with a variety of technological devices such as desktop computers, smartphones, embodied virtual agents, and robots. However, despite their increasing popularity, little empirical work has been done to examine social reactions towards these personal stand-alone voice assistant devices, also referred to as smart speakers. Thus, this dissertation aims to adopt the CASA approach to empirically evaluate social responses to smart speakers. With this goal in mind, four laboratory experiments with a total of 407 participants have been conducted for this thesis. Results show that participants display a wide range of social reactions when interacting with voice assistants. This includes the utilization of politeness strategies such as the interviewer-bias, which led to participants giving better evaluations directly to a smart speaker device compared to a separate computer. Participants also displayed prosocial behavior toward a smart speaker after interdependence and thus a team affiliation had been induced. In a third study, participants applied gender stereotypes to a smart speaker not only in self-reports but also exhibited conformal behavior patterns based on the voice the device used. In a fourth and final study, participants followed the rule of reciprocity and provided help to a smart speaker device that helped them in a prior interaction. This effect was also moderated by subjects’ personalities, indicating that individual differences are relevant for CASA research. Consequently, this thesis provides strong empirical support for a voice assistants are social actors paradigm. This doctoral dissertation demonstrates the power and utility of this research paradigm for media psychological research and shows how considering voice assistant devices as social actors lead to a more profound understanding of voice-based technology. The findings discussed in this thesis also have implications for these devices that need to be carefully considered both in future research as well as in practical design. N2 - Die Verbreitung und Nutzung von persönlichen Sprachassistenten wie Amazon Echo oder Google Home haben seit deren Veröffentlichung im Laufe des letzten Jahrzehnts stark zugenommen. Diese Thesis baut auf existierender computers are social actors (CASA) und media equation Forschung auf, die sich mit sozialen Reaktionen auf Medien und technologische Geräte befasst, die normalerweise nur in der Mensch-Mensch Interaktion auftreten. CASA Forschung wurde bereits zu einer Bandbreite an technologischen Geräten durchgeführt, darunter Desktopcomputer, Smartphones, virtuelle Agenten und Roboter. Trotz ihrer zunehmenden Popularität wurde bisher wenig empirische Forschung zu sozialen Reaktionen auf Geräte wie die genannten Sprachassistenten, auch Smart Speaker genannt, durchgeführt. Deshalb ist es das Ziel dieser Dissertation, soziale Reaktionen auf Smart Speaker basierend auf dem CASA Ansatz empirisch zu evaluieren. Zu diesem Zweck wurden im Rahmen dieser Thesis vier Laborexperimente mit insgesamt 407 TeilnehmerInnen durchgeführt. Die Ergebnisse machen deutlich, dass Nutzer eine Bandbreite an sozialen Reaktionen in der Interaktion mit Sprachassistenten zeigen. Darunter die Verwendung von Höflichkeitsstrategien wie des Interviewer-Bias, was zu besseren Bewertungen eines Smart Speakers geführt hat, wenn dieser direkt am Gerät selbst bewertet wurde. Im Vergleich dazu fielen Bewertungen, die an einem separaten Computer abgegeben wurden, schlechter aus. Die TeilnehmerInnen zeigten außerdem prosoziales Verhalten gegenüber einem Sprachassistenten, nachdem eine Interdependenz und Teamzugehörigkeit induziert wurde. In einer dritten Studie wandten die TeilnehmerInnen Geschlechterstereotype auf Sprachassistenten an, basierend nur auf der Stimme, die das Gerät in der Interaktion verwendet hatte. Dies zeige sich sowohl in einer Bewertung des Geräts als auch durch konforme Verhaltensmuster. In einer vierten und letzten Studie zeigten die TeilnehmerInnen reziprokes Verhalten und halfen einem Smart Speaker Gerät, das ihnen zuvor bereits geholfen hatte. Dieser Effekt wurde außerdem durch die Persönlichkeit der TeilnehmerInnen moderiert, was ein starkes Indiz dafür liefert, dass individuelle Unterschiede relevant für die CASA Forschung sind. Folglich liefert diese Dissertation starke empirische Belege für ein voice assistants are social actors Paradigma. Sie demonstriert die Nützlichkeit dieses Paradigmas für medienpsychologische Forschung und wie die Betrachtung von Smart Speaker Geräten als soziale Akteure zu einem vertieften Verständnis von sprachbasierten Technologien führen kann. Die Ergebnisse, die in dieser Dissertation diskutiert werden, haben Implikationen sowohl für zukünftige Forschung als auch für das praktische Design von Sprachassistenten. KW - Mensch-Maschine-Kommunikation KW - Media Equation KW - Voice Assistants KW - Human-Computer-Interaction Y1 - 2024 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-346704 ER -