Iftikhar, Rehan ORCID: 0000-0002-8363-2323, Chiu, Yi-Te ORCID: 0000-0002-4198-9666, Khan, Mohammad Saud ORCID: 0000-0003-0997-7857 and Caudwell, Catherine ORCID: 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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