Developing teamwork: transitioning between stages in human-agent collaboration

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.

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Publication Details

Journal
Frontiers in Computer Science
Published
2024-11-13
DOI
https://doi.org/10.3389/fcomp.2024.1455903
Citations
4
Primary Topic
Team Dynamics and Performance
Type
article
Field-Weighted Citation Impact
2.57

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article

Developing teamwork: transitioning between stages in human-agent collaboration

Maitreyee Tewari, Vera Kaelin, Helena Lindgren, Sara Benouar
4 citations
Frontiers in Computer Science
Team Dynamics and Performance
2.57
article

Developing teamwork: transitioning between stages in human-agent collaboration

Maitreyee Tewari, Vera Kaelin, Helena Lindgren, Sara Benouar
article en
4 citations

Abstract

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.

Frontiers in Computer ScienceVol. 6
Umeå University (SE)
Marcus och Amalia Wallenbergs minnesfond
Partnerships for the goals
Openalex Percentile: Top 10%
Team Dynamics and Performance
2.57
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