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Human–agent team dynamics: a review and future research opportunities

Iftikhar, Rehan orcid logoORCID: 0000-0002-8363-2323, Chiu, Yi-Te orcid logoORCID: 0000-0002-4198-9666, Khan, Mohammad Saud orcid logoORCID: 0000-0003-0997-7857 and Caudwell, Catherine orcid logoORCID: 0000-0002-3496-337X (2023) Human–agent team dynamics: a review and future research opportunities. IEEE Transactions on Engineering Management . ISSN 0018-9391

Abstract
Humans teaming with intelligent autonomous agents is becoming indispensable in work environments. However, human–agent teams pose significant challenges, as team dynamics are complex arising from the task and social aspects of human–agent interactions. To improve our understanding of human–agent team dynamics, in this article, we conduct a systematic literature review. Drawing on Mathieu et al.’s (2019) teamwork model developed for all-human teams, we map the landscape of research to human–agent team dynamics, including structural features, compositional features, mediating mechanisms, and the interplay of the above features and mechanisms. We reveal that the development of human–agent team dynamics is still nascent, with a particular focus on information sharing, trust development, agents’ human likeness behaviors, shared cognitions, situation awareness, and function allocation. Gaps remain in many areas of team dynamics, such as team processes, adaptability, shared leadership, and team diversity. We offer various interdisciplinary pathways to advance research on human–agent teams.
Metadata
Item Type:Article (Published)
Refereed:Yes
Uncontrolled Keywords:human-agent teams; human-AI collaboration; intelligent agents; team dynamics; literature review
Subjects:UNSPECIFIED
DCU Faculties and Centres:DCU Faculties and Schools > DCU Business School
Publisher:IEEE
Official URL:https://doi.org/10.1109/TEM.2023.3331369
Copyright Information:© 2023 IEEE.
ID Code:29262
Deposited On:05 Dec 2023 15:57 by Thomas Murtagh . Last Modified 05 Dec 2023 15:57
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