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Developing teamwork: transitioning between stages in human-agent collaboration
Umeå University, Faculty of Science and Technology, Department of Computing Science.ORCID iD: 0000-0003-1290-9441
Umeå University, Faculty of Science and Technology, Department of Computing Science.ORCID iD: 0000-0002-3036-6519
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 Medicine, Department of Community Medicine and Rehabilitation, Section of Occupational Therapy.ORCID iD: 0000-0002-8430-4241
2024 (English)In: Frontiers in Computer Science, E-ISSN 2624-9898, Vol. 6, article id 1455903Article in journal (Refereed) Published
Abstract [en]

Introduction: Human-centric artificial intelligence (HCAI) focuses on systems that support and collaborate with humans to achieve their goals. To better understand how collaboration develops in human-AI teaming, further exploration grounded in a theoretical model is needed. Tuckman's model describes how team development among humans evolves by transitioning through the stages of forming, storming, norming, performing, and adjourning. The purpose of this pilot study was to explore transitions between the first three stages in a collaborative task involving a human and a human-centric agent.

Method: The collaborative task was selected based on commonly performed tasks in a therapeutic healthcare context. It involved planning activities for the upcoming week to achieve health-related goals. A calendar application served as a tool for this task. This application embedded a collaborative agent designed to interact with humans following Tuckman's stages of team development. Eight participants completed the collaborative calendar planning task, followed by a semi-structured interview. Interviews were transcribed and analyzed using inductive content analysis.

Results: The results revealed that the participants initiated the storming stage in most cases (n = 7/8) and that the agent initiated the norming stage in most cases (n = 5/8). Additionally, three main categories emerged from the content analyses of the interviews related to participants' transition through team development stages: (i) participants' experiences of Tuckman's first three stages of team development; (ii) their reactions to the agent's behavior in the three stages; and (iii) factors important to the participants to team up with a collaborative agent.

Conclusion: Results suggest ways to further personalize the agent to contribute to human-agent teamwork. In addition, this study revealed the need to further examine the integration of explicit conflict management into human-agent collaboration for human-agent teamwork.

Place, publisher, year, edition, pages
Frontiers Media S.A., 2024. Vol. 6, article id 1455903
Keywords [en]
human-agent teaming, human-AI collaboration, Tuckman’s model, human-centered artificial intelligence, Activity Theory, health promotion, activities of daily living, occupational therapy
National Category
Human Computer Interaction
Identifiers
URN: urn:nbn:se:umu:diva-232103DOI: 10.3389/fcomp.2024.1455903ISI: 001364638400001Scopus ID: 2-s2.0-85210506516OAI: oai:DiVA.org:umu-232103DiVA, id: diva2:1915893
Funder
Marianne and Marcus Wallenberg Foundation, MMW 2019.0220Available from: 2024-11-25 Created: 2024-11-25 Last updated: 2025-01-14Bibliographically approved

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Kaelin, Vera C.Tewari, MaitreyeeBenouar, SaraLindgren, Helena

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CiteExportLink to record
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Citation style
  • apa
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