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Elaborating Team Roles for Artificial Intelligence-based Teammates in Human-AI Collaboration

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https://econpapers.repec.org/scripts/redir.pf?u=http%3A%2F%2Flink.springer.com%2F10.1007%2Fs10726-022-09792-z;h=repec:spr:grdene:v:31:y:2022:i:5:d:10.1007_s10726-022-09792-z
Time Added
2022/09/19 18:35
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Artificial Intelligence
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0
Authors
Dominik Siemon Dominik Siemon: LUT University
Abstract
Abstract The increasing importance of artificial intelligence (AI) in everyday work also means that new insights into team collaboration must be gained. It is important to research how changes in team composition affect joint work as previous theories and insights on teams are based on the knowledge of pure human teams. Especially when AI-based systems act as coequal partners in collaboration scenarios their role within the team needs to be defined. With a multi-method approach including a quantitative and a qualitative study we constructed four team roles for AI-based teammates. In our quantitative survey based on existing team role concepts (n = 1.358) we used exploratory and confirmatory factor analysis to construct possible roles that AI-based teammates can fulfill in teams. With nine expert interviews we discussed and further extended our initially identified team roles to construct consistent team roles for AI-based teammates. The results show four consistent team roles: the coordinator creator perfectionist and doer. The new team roles including their skills and behaviors can help to better design hybrid human-AI teams and to better understand team dynamics and processes.
Keywords
Human-AI collaboration ; Collaboration ; Artificial intelligence ; Team roles ; Team composition (search for similar items in EconPapers)
Year Published
2022
Series
Group Decision and Negotiation 2022 vol. 31 issue 5 No 1 912 pages
Rank
0.74
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