Andreas Janson
Title
Dr.
Last Name
Janson
First name
Andreas
Email
andreas.janson@unisg.ch
Phone
+41 71 224 2592
Twitter
https://twitter.com/janson_andreas
164 results
Now showing 1 - 10 of 164
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Item type:Publication, Making the default more legitimate – the role of autonomy and transparency for digital privacy nudgesPurpose This paper examines the concept of digital privacy nudging, a promising approach from behavioral economics that uses subtle cues to influence people’s decisions online. We research the concepts of autonomy and transparency for privacy nudging in digital networking systems for the context of digital work. Design/methodology/approach The paper draws on the literature on digital privacy nudging to develop and test a theoretical model that takes into account legitimate nudge designs, which are those that ensure autonomy and transparency. We utilize a fully randomized between-subjects online experiment with 208 participants to test the effects of different nudge designs on decision outcomes and perceptions. We use a structural equation modeling approach for evaluating the theoretical model. Findings The paper presents two major findings. First, we conceptualize the concept of legitimate nudging and implement the concept empirically with nudges that promote autonomy and transparency in the context of defaults as digital privacy nudges. Second, our findings show that autonomy-promoting nudges significantly lower reactance that is significantly associated with a lower acceptance of digital nudging. Finally, we provide evidence that the acceptance of digital nudging is also crucial for trusting digital systems where nudges are oftentimes embedded in. Research limitations/implications The paper contributes to the literature on digital nudging by providing insights into more legitimate nudge designs through providing autonomy and transparency. Our research provides in this regard implications for nudge effectiveness and the overall debate concerning ethics in digital nudging. We also offer practical implications for organizations and information systems designers who want to use nudges in a responsible way. Originality/value This paper is one of the first to empirically investigate the role of legitimacy in digital nudging and to propose a framework for designing and evaluating legitimate nudges. It also provides insights into the perceptional downstream consequences of legitimate nudging.Type:journal articleJournal:Information Technology & PeopleVolume:39Issue:1Scopus© Citations 5 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Uncovering the mechanisms of common ground in human–agent interaction: review and future directions for conversational agent researchPurpose Human–agent interaction (HAI) is increasingly influencing our personal and work lives through the proliferation of conversational agents (CAs) in various domains. As such, these agents combine intuitive natural language interactions by also delivering personalization through artificial intelligence capabilities. However, research on CAs as well as practical failures indicates that CA interaction oftentimes fails miserably. To reduce these failures, this paper introduces the concept of building common ground for more successful HAIs. Design/methodology/approach Based on a systematic literature analysis, we identified 38 articles meeting the eligibility criteria. We critically reviewed this body of knowledge within a formal narrative synthesis structured around the use of common ground in the interaction with CAs. Findings Based on the systematic review, our analysis reveals five mechanisms for achieving common ground: embodiment, social features, joint action, knowledge base and mental model of conversational agent. We point out the relationships between these mechanisms as they are related to each other in directional and bidirectional ways. Research limitations/implications Our findings contribute to theory with several implications for CA research. First, we provide implications about the organization of common ground mechanisms for CAs. Second, we provide insights into the mechanisms and nomological network for achieving common ground when interacting with CAs. Third, we provide a broad research agenda for future CA research that centers around the important topic of common ground for HAI. Originality/value We offer novel insights into grounding mechanisms and highlight the potentials when considering common ground in different HAI processes. Consequently, we secure further understanding and deeper insights of possible mechanisms of common ground to shape future HAI processes.Type:journal articleJournal:Internet ResearchVolume:36Issue:1Scopus© Citations 8 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Promoting students’ motivation in language education with gamified pedagogical conversational agents(2025-12)Scopus© Citations 12 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Disentangling the influence of mobile learning usability and its determinants–PLS-SEM and importance-performance investigation(2024); Sissy-Josefina ErnstToday, numerous mobile learning applications are used to enable learning during the working process or on-the-go. However, few insights that are available regarding mobile application usability (MAU) and its determinants in the context of mobile learning. More specifically, there is a critical need to disentangle the determinants of MAU and their overall impact on MAU while also acknowledging the possible motivational consequences. Therefore, we developed a theoretical model of MAU, its determinants, and its consequences. By utilizing a free simulation experiment, we investigated the role of MAU in the domain of mobile learning. We used structural equation modeling to analyze the theoretical model. The results show a significant influence of MAU on mobile learning compatibility, performance expectancy, and self-efficacy. The results also indicate that compatibility acts as a partial mediator of usability on performance expectancy. Finally, we conducted an importance-performance analysis that reveals key usability insights: UI output, the most critical factor, underperforms, highlighting a major improvement area. UI structure and application design also need enhancement. In contrast, UI input and application utility perform well despite lower importance, with UI graphics showing adequate performance despite being least crucial. The present paper contributes to the discussion concerning MAU and its impact on mobile learning, while delivering formative insights of MAU for mobile learning applications.Type:journal articleJournal:Computers and Education Open (CAEO)Volume:7Issue:DecemberScopus© Citations 4 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, AI literacy and its implications for prompt engineering strategies(2024); Artificial intelligence technologies are rapidly advancing. As part of this development, large language models (LLMs) are increasingly being used when humans interact with systems based on artificial intelligence (AI), posing both new opportunities and challenges. When interacting with LLM-based AI system in a goal-directed manner, prompt engineering has evolved as a skill of formulating precise and well-structured instructions to elicit desired responses or information from the LLM, optimizing the effectiveness of the interaction. However, research on the perspectives of non-experts using LLM-based AI systems through prompt engineering and on how AI literacy affects prompting behavior is lacking. This aspect is particularly important when considering the implications of LLMs in the context of higher education. In this present study, we address this issue, introduce a skill-based approach to prompt engineering, and explicitly consider the role of non-experts' AI literacy (students) in their prompt engineering skills. We also provide qualitative insights into students’ intuitive behaviors towards LLM-based AI systems. The results show that higher-quality prompt engineering skills predict the quality of LLM output, suggesting that prompt engineering is indeed a required skill for the goal-directed use of generative AI tools. In addition, the results show that certain aspects of AI literacy can play a role in higher quality prompt engineering and targeted adaptation of LLMs within education. We, therefore, argue for the integration of AI educational content into current curricula to enable a hybrid intelligent society in which students can effectively use generative AI tools such as ChatGPT.Type:journal articleJournal:Computers and Education: Artificial IntelligenceVolume:6Issue:JuneScopus© Citations 376 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Improving Students’ Argumentation Skills Using Dynamic Machine-Learning–Based Modeling(Informs, 2024-06); ; ; Scopus© Citations 15 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Engaging Students through Interactive Learning Videos in Higher Education: Developing a Creation Process and Design Patterns for Interactive Learning Videos(2024); ; Schöbel, SofiaThe use of learning videos has grown dramatically in the last decades. However, there is also increasing criticism against the use of learning videos concerning the harmful effects on the learning process, such as a decrease in motivation, engagement, and learning success. Although interactive learning videos can be helpful in supporting students' learning process, the design of such videos is still challenging for instructional designers. To overcome these challenges, we follow a Design Science Research (DSR) approach and develop a design pattern-based process to support the development of interactive learning videos. To this end, we engage in multiple DSR cycles where we conduct a systematic literature review, collect practical and theoretical requirements, as well as develop and evaluate our artifact in two cycles. Finally, we codify our results into design patterns and a creation process for interactive learning videos. With our contribution, we make design knowledge for such learning materials accessible by including tangible and applicable practices during our interactive learning video creation process. Our contribution aims to support developers and educators in designing more effective learning videos.Type:journal articleJournal:Communications of the AIS (CAIS)Volume:55Scopus© Citations 8 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, How to leverage anthropomorphism for chatbot service interfaces: The interplay of communication style and personificationAlthough chatbots are oftentimes used in customer service encounters, interactions are oftentimes perceived as not satisfactory. One key aspect for designing chatbots is the use of anthropomorphic design elements. In this experimental study, we examine the two anthropomorphic chatbot design elements of personification, which includes a human-like appearance, and social orientation of communication style, which means a more sensitive and extensive communication. We tested the influence of the two design elements on social presence, satisfaction, trust and empathy towards a chatbot. First, the results show a significant influence of both anthropomorphic design elements on social presence. Second, our findings illustrate that social presence influences trusting beliefs, empathy, and satisfaction. Third, social presence acts as a mediator for both anthropomorphic design elements for satisfaction with a chatbot. Our implications provide a better understanding of anthropomorphic chatbot design elements when designing chatbots for short-term interactions, and we offer actionable implications for practice that enable more effective chatbot implementations.Type:journal articleJournal:Computers in Human BehaviorVolume:149Scopus© Citations 164 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Special Issue Editorial: Adaptive and Intelligent Gamification Design(2023-06-30); Scopus© Citations 10 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, The Role of AI-Based Artifacts’ Voice Capabilities for Agency Attribution(2023-07-04); ; ; The pervasiveness and increasing sophistication of artificial intelligence (AI)-based artifacts within private, organizational, and social realms change how humans interact with machines. Theorizing about the way humans perceive AI-based artifacts is crucial to understanding why and to what extent humans deem these as competent for, i.e., decision-making, yet has traditionally taken a modality-agnostic view. In this paper, we theorize about a particular case of interaction, namely that of voice-based interaction with AI-based artifacts. The capabilities and perceived naturalness of such artifacts, fueled by continuous advances in natural language processing, induce users to deem an artifact as able to act autonomously in a goal-oriented manner. We argue that there is a positive direct relationship between the voice capabilities of an artifact and users’ agency attribution, ultimately obscuring the artifact’s true nature and competencies. This relationship is further moderated by an artifact’s actual agency, uncertainty, and user characteristics.Type:journal articleJournal:Journal of the Association for Information Systems (JAIS)Volume:24Issue:4Scopus© Citations 25