Andreas Janson
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Janson
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Andreas
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andreas.janson@unisg.ch
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+41 71 224 2592
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Designing Pedagogical Conversational Agents for Achieving Common Ground

2023 , Antonia Tolzin , Anita Körner , Ernestine Dickhaut , Andreas Janson , Ralf Rummer , Jan Marco Leimeister

As educational organizations face difficulties in providing personalized learning material or individual learning support, pedagogical conversational agents (PCAs) promise individualized learning for students. However, the problem of conversational breakdowns of PCAs and consequently poor learning outcomes still exist. Hence, effective and grounded communication between learners and PCAs is fundamental to improving learning processes and out-comes. As understanding each other and the conversational grounding is crucial for conversations between humans and PCAs, we propose common ground theory as a foundation for designing a PCA. Conducting a design science research project, we propose theory-motivated design principles and instantiate them in a PCA. We evaluate the utility of the artifact with an experimental study in higher education to inform the subsequent design iterations. We contribute design knowledge on conversational agents in learning settings, enabling researchers and practitioners to develop PCAs based on common ground research in education and providing avenues for future research. Thereby, we can secure further understanding of learning processes based on grounding communication.

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Meetings at Digital Workplaces – An Experimental Approach to Analyze Group Attachment and Organizational Commitment in Digital Worlds

2023 , Gleich, Tristan , Schöbel, Sofia , Janson, Andreas

After facing the COVID-19 pandemic, organizations request their employees to work from home permanently. For an organization, this provides positive benefits such as reducing costs for rent. From an employee perspective, working from home can cause a feeling of isolation towards co-workers and lower attachment to an organization. One way to counteract this problem is to transfer the office to the digital world, especially spurred by the metaverse discussion to represent processes of our real world in digital environments that allow us to do everything in the same way digitally as we are doing in the real world. In this paper, we present a theoretical model for conducting a 2x2 between-subject experiment to analyze how digital real-world meeting experiences influence team attachment and organizational commitment. We contribute to theories such as the need of belonging and transfer them to digital environments and provide practical implications for designing digital offices.

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Designing for Digital Wellbeing on a Smartphone: Co-creation of Digital Nudges to Mitigate Instagram Overuse

2023-01-03 , Purohit, Aditya Kumar , Barev, Torben Jan , Schöbel, Sofia , Janson, Andreas , Holzer, Adrian

The endless stream of social media newsfeeds and stories captivates users for hours on end, sometimes exceeding what users themselves consider unhealthy. However, reducing one's social media consumption has proven to be challenging. To address this issue, this study investigates how the co-creation of the digital feedback nudge can improve digital well-being without increasing privacy threats. To achieve this goal, a mixed method study is used through a two-week pre-post study design. Results demonstrate that co-creation significantly increased users' sense of agency, sense of accomplishment and perceived sense of privacy while reducing users' privacy concern. Furthermore, the feedback nudge allowed participants to significantly decrease their social media use.

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Measuring students’ argumentation skills: validation of a test instrument

2023-08-22 , Yvonne Berkle , Andreas Janson , Löfflad, Denise , Denise Löfflad , Jan Marco Leimeister , Miriam Leuchter

The importance of argumentation skills for academic disciplines is well evident. Two core aspects of argumentation skills are a) the recognition of argumentation fallacies and b) the recognition of the structure of arguments. These two argumentation skills might be related to domain-specific knowledge. In our study, we aim to evaluate an instrument to assess the recognition of argumentation fallacies and the structure of arguments in the context of different domains. Thus, we implemented a self-developed instrument to measure both argumentation skills in different student groups (business economic students and pre-service teachers) in different domains: a) the study-domain of their own courses, b) the study-domain of the respective other courses and c) a neutral domain (sustainability). We assumed these three domains to represent different dimensions within the ability to recognize argumentation fallacies and within the ability to recognize argument structures. This assumption could not be confirmed, what leads to the assumption that our instrument captures cross-domain argumentation skills. However, our research implies a difference in the recognition of formal compared to informal argumentation fallacies. Furthermore, the results indicate that the instrument measures argumentative skills in both groups of students equally well.

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Sharing Design Knowledge Through Codification in Interdisciplinary DSR Collaborations

2023-01-06 , Dickhaut, Ernestine , Janson, Andreas , Hevner, Alan , Leimeister, Jan Marco

The goals of design science research (DSR) projects are to generate novel and useful artifacts and to produce rigorous and generalizable design knowledge. Often, DSR projects are conducted in collaborative, interdisciplinary project teams. Different disciplinary approaches to codifying design knowledge result in challenging project interactions. To study this situation, we analyze design knowledge codification in interdisciplinary teams over time. We gain insights from a survey of recent DSR papers that have been published in the AIS Senior Scholars’ Basket. We then present a detailed case study of a longitudinal project that brought to light issues of sharing design knowledge across disciplinary borders. Drawing from the survey and case study, we provide actionable guidance on how to effectively codify and share design knowledge to support researchers and practitioners to build useful artifacts and to make interdisciplinary design knowledge contributions reusable and applicable.

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Disentangling Trust in Voice Assistants - A Configurational View on Conversational AI Ecosystems

2023 , Janson, Andreas , Schmitt, Anuschka , Bevilacqua, Tatjana

Voice assistants’ (VAs) increasingly nuanced and natural communication via artificial intelligence (AI) opens up new opportunities for the experience of users, providing task assistance and automation possibilities, and also offer an easy interface to digital services and ecosystems. However, VAs and according ecosystems face various problems, such as low adoption and satisfaction rates as well as other negative reactions from users. Companies, therefore, need to consider what contributes to user satisfaction of VAs and related conversational AI ecosystems. Key for conversational AI ecosystems is the consideration of trust due to their agentic and pervasive nature. Nonetheless, due to the complexity of conversational AI ecosystems and different trust sources involved, we argue that we need a more detailed understanding about trust. Thus, we propose a configurational view on conversational AI ecosystems that allows us to disentangle the complex and interrelated factors that contribute to trust in VAs. We examine with a configurational approach and a survey study, how different trust sources contribute to the outcomes of conversational AI ecosystems, i.e., in our case user satisfaction. The results of our study show four distinct patterns of trust source configurations. Vice versa, we show how trust sources contribute to the absence of the outcome, i.e., user satisfaction. The derived implications provide a configurative theoretical understanding for the role of trust sources for user satisfaction that provides practitioners useful guidance for more trustworthy conversational AI ecosystems.

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Social Audio: Conceptualizing Voice-Based Online Social Networks and their Privacy Implications

2023 , Schmitt, Anuschka , Rentsch, Stefanie , Janson, Andreas

This paper explores the nature and implications of social audio: online social networks (OSNs) that enable users to interact via voice. The paper contributes to basic science by offering a precise conceptualization of voice-based OSNs and their design features. We posit that the defining characteristics of traditional OSNs also hold for social audio, yet that novel features (i.e., creating rooms) and modifications of traditional features (i.e., like) through voice idiosyncrasies can be found. This work also shows how social audio introduces novel privacy implications, particularly driven by the richness and risks of voice as an interaction modality. Using three illustrative cases, we demonstrate applications of social audio and how privacy implications remain largely unaddressed. Specifically, we find that the networks considered show very few specific features addressing the risks of voice-based interaction and that current privacy policies do not reflect these risks nor offer mitigation measures. We bridge our findings and extensions for future research by discussing potential approaches in terms of network architecture features for social audio providers to pursue in order to ensure user privacy.

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How Videoconferencing and its Affordances Transformed Teaching in Schools During COVID-19 Pandemic

2023-12-06 , Dickhaut, Ernestine , Li, Mahei Manhai , Janson, Andreas

The COVID-19 pandemic has brought about major changes in digitization in many areas of life and professions. New areas were digitized almost overnight, the school system in Germany was no exception leading to a demand for videoconferencing tools and communication platforms. These technologies have many different functionalities that need to be discovered, explored, and exploited by the user. Given the disruptive events that the COVID pandemic brought to us, this paper aims to shed light on how the dynamics of discovery, exploration, and exploitation unfolds. We use a functional affordance theory perspective to analyze and understand how user learn to use new technologies. To do this, we conducted an exploratory case-study-based research design including interviews with teachers from various schools to analyze how they appropriate new technologies to develop an explanatory theoretical model.

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Automotive Manufacturers and Their Stumble from one Supply Crisis to Another: Procurement Departments Could be the Game Changer by Using Data Analytics, but…

2023-01-06 , Klee, Sven , Janson, Andreas , Leimeister, Jan Marco

With this paper, we examine the use of data analytics for crisis management in automotive procurement departments. Possible business values of data analytics were part of numerous research approaches. Nevertheless, automotive manufacturers are repeatedly confronted with supply chain disruptions. Procurement departments have a central role within supply chains and are predominantly responsible for stable supply processes. Taking into account the potential of data analytics, such crises should be avoided or at least mitigated. Thus, there is the question, why data analytics cannot currently help automotive procurement departments by facing such crises. We therefore evaluate problems and obstacles by implementing and using data analytics in automotive procurement departments. Therefore, we talk to experienced procurement experts for evaluating practical insights. With our findings we provide practical insights and applicable recommendations for action with the goal of helping procurement leaders to better leverage data analytics for meeting current and future crises.

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Mechanisms of Common Ground in Human-Agent Interaction: A Systematic Review of Conversational Agent Research

2023-01-06 , Tolzin, Antonia , Janson, Andreas

Human-agent interaction is increasingly influencing our personal and work lives through the proliferation of conversational agents 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 indicate that CA interaction oftentimes fails miserably. To reduce these failures, this paper introduces the concept of building common ground for more successful human-agent interactions. Based on a systematic review our analysis reveals five mechanisms for achieving common ground: (1) Embodiment, (2) Social Features, (3) Joint Action, (4) Knowledge Base, and (5) Mental Model of Conversational Agents. On this basis, we offer insights into grounding mechanisms and highlight the potentials when considering common ground in different human-agent interaction processes. Consequently, we secure further understanding and deeper insights of possible mechanisms of common ground in human-agent interaction in the future.

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