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Argument-based human–AI collaboration for supporting behavior change to improve health
Umeå University, Faculty of Science and Technology, Department of Computing Science.
Umeå University, Faculty of Science and Technology, Department of Computing Science.
Umeå University, Faculty of Science and Technology, Department of Computing Science.ORCID iD: 0000-0002-6458-2252
Umeå University, Faculty of Science and Technology, Department of Computing Science.ORCID iD: 0000-0002-8430-4241
2023 (English)In: Frontiers in Artificial Intelligence, E-ISSN 2624-8212, Vol. 6, article id 1069455Article in journal (Refereed) Published
Abstract [en]

This article presents an empirical requirement elicitation study for an argumentation-based digital companion for supporting behavior change, whose ultimate goal is the promotion and facilitation of healthy behavior. The study was conducted with non-expert users as well as with health experts and was in part supported by the development of prototypes. It focuses on human-centric aspects, in particular user motivations, as well as on expectations and perceptions regarding the role and interaction behavior of a digital companion. Based on the results of the study, a framework for person tailoring the agent's roles and behaviors, and argumentation schemes are proposed. The results indicate that the extent to which a digital companion argumentatively challenges or supports a user's attitudes and chosen behavior and how assertive and provocative the companion is may have a substantial and individualized effect on user acceptance, as well as on the effects of interacting with the digital companion. More broadly, the results shed some initial light on the perception of users and domain experts of “soft,” meta-level aspects of argumentative dialogue, indicating potential for future research.

Place, publisher, year, edition, pages
Frontiers Media S.A., 2023. Vol. 6, article id 1069455
Keywords [en]
argumentation schemes, behavior change, digital companion, formal argumentation dialogues, health promotion, Human-Centered Artificial Intelligence, user-modeling, value-based argumentation
National Category
Computer Sciences
Identifiers
URN: urn:nbn:se:umu:diva-205786DOI: 10.3389/frai.2023.1069455ISI: 000942156200001PubMedID: 36872933Scopus ID: 2-s2.0-85149508964OAI: oai:DiVA.org:umu-205786DiVA, id: diva2:1748533
Funder
Marianne and Marcus Wallenberg Foundation, MMW 2019.0220Wallenberg AI, Autonomous Systems and Software Program (WASP)Forte, Swedish Research Council for Health, Working Life and Welfare, 2018- 01461EU, Horizon 2020, 952026Available from: 2023-04-03 Created: 2023-04-03 Last updated: 2023-04-03Bibliographically approved

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Kilic, KaanWeck, SaskiaKampik, TimotheusLindgren, Helena

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