The Role of Psychophysiological Measures as Implicit Communication Within Mixed-Initiative Teams

Drnec, Kim; Gremillion, Greg; Donavanik, Daniel; Canady, Jonroy; Atwater, Corey; Carter, Evan; Haynes, Ben A.; Marathe, Amar R.; Metcalfe, J. Stanley

doi:10.1007/978-3-319-91581-4_22

Cited by 5 publications

(4 citation statements)

References 32 publications

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“…Four of these typesstatic division of labor, adjustable automation, mixed-initiative collaborations, and adaptive automationare intrinsically linked to task design and the interpersonal dynamics between human and agent team members. Extant research on interpersonal processes has mainly focused on mixed-initiative collaborations [58,66,69,[87][88][89][90], where humans and agents negotiate who will do what [86].…”

Section: Team Processesmentioning

confidence: 99%

“…Drnec, et al [88] found that trustworthiness tends to be improved and workload reduced when humans' psychophysiological signals were incorporated to help build shared mental models in HATs. Fan et al [97] conducted research that demonstrated how developing an understanding of when to trust and when not to trust the recommendations of IAs can lead to better decision-making, situational awareness of the critical issues associated with agents' errors, and trust in the agents.…”

Section: Emergent Statesmentioning

confidence: 99%

“…Information Sharing [74,75], Team Processes [82,90], Emergent States [88,98] • Limited research on information sharing in HATs. • Need for more research on the timing of information sharing by IAs.…”

Section: Mediating Mechanismsmentioning

confidence: 99%

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Human–Agent Team Dynamics: A Review and Future Research Opportunities

Iftikhar,

Chiu,

Khan

et al. 2024

IEEE Trans. Eng. Manage.

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Humans teaming with intelligent autonomous agents are 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, we conducted 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.

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Section: Team Processesmentioning

confidence: 99%

Section: Emergent Statesmentioning

confidence: 99%

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Human–Agent Team Dynamics: A Review and Future Research Opportunities

Iftikhar,

Chiu,

Khan

et al. 2024

IEEE Trans. Eng. Manage.

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“…Future research should, therefore, investigate how team communication, as well as shared mental models and situation awareness, can be promoted in human-robot teams. A promising research approach seems to be multimodal communication approaches and the use of psychophysiological measures as input for robots to infer operator states, such as cognitive load or negative affect [86]. These inputs can then be used by the robot to alter its behavior.…”

Section: B Use and Adoptionmentioning

confidence: 99%

Cobots in Industry 4.0: A Roadmap for Future Practice Studies on Human–Robot Collaboration

Weiss

Wortmeier

Kubicek

2021

IEEE Trans. Human-Mach. Syst.

125

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With the vision of Industry 4.0 and cobots, working conditions in industrial settings are starting to change. We review related literature from the fields of human-robot interaction, work and organizational psychology, and sociology of work, as well as an exemplary project case study, and identify research gaps regarding the implications of cobots for work environments. We argue that we are in a transition phase from automation to actual collaboration with robots in manufacturing, and that this will open up a new problem space for investigations, in which a practice lens will be crucial. Based on this, we propose a research agenda for social practice and workplace studies to explore the sociotechnical environment of Industry 4.0 involving cobots at the individual, team, and organizational levels.

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