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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  • Publication
    Charting the Evolution and Future of Conversational Agents: A Research Agenda Along Five Waves and New Frontiers
    (Springer Nature, 2023-04-20)
    Schöbel, Sofia
    ;
    Schmitt, Anuschka
    ;
    Benner, Dennis
    ;
    Saqr, Mohammed
    ;
    Janson, Andreas
    ;
    Leimeister, Jan Marco
    Conversational agents (CAs) have come a long way from their first appearance in the 1960s to today's generative models. Continuous technological advancements such as statistical computing and large language models allow for an increasingly natural and effortless interaction, as well as domain-agnostic deployment opportunities. Ultimately, this evolution begs multiple questions: How have technical capabilities developed? How is the nature of work changed through humans' interaction with conversational agents? How has research framed dominant perceptions and depictions of such agents? And what is the path forward? To address these questions, we conducted a bibliometric study including over 5000 research articles on CAs. Based on a systematic analysis of keywords, topics, and author networks, we derive "five waves of CA research" that describe the past, present, and potential future of research on CAs. Our results highlight fundamental technical evolutions and theoretical paradigms in CA research. Therefore, we discuss the moderating role of big technologies, and novel technological advancements like OpenAI GPT or BLOOM NLU that mark the next frontier of CA research. We contribute to theory by laying out central research streams in CA research, and offer practical implications by highlighting the design and deployment opportunities of CAs.
    Type: journal article
    Journal: Information Systems Frontiers (Inf Syst Front)
    Volume: 26
    URL: https://link.springer.com/article/10.1007/s10796-023-10375-9
    DOI: 10.1007/s10796-023-10375-9
    URI: https://www.alexandria.unisg.ch/handle/20.500.14171/117211
    Scopus© Citations 16
  • Publication
    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.
    Type: conference paper
    Journal: International Conference on Design Science Research (DESRIST)
    URL: https://link.springer.com/chapter/10.1007/978-3-031-32808-4_22
    DOI: 10.1007/978-3-031-32808-4_22
    URI: https://www.alexandria.unisg.ch/handle/20.500.14171/117378
    Scopus© Citations 3
  • Publication
    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.
    Type: conference paper
    Journal: Hawaii International Conference on System Sciences (HICSS)
    URI: https://www.alexandria.unisg.ch/handle/20.500.14171/107807