Transdisciplinary Team Research to Develop Theory of Mind in Human-AI Teams Panelists

Fiore, Stephen M.; Bracken, Bethany K.; Demir, Mustafa; Freeman, Jared; Lewis, Michael

doi:10.1177/1071181321651351

Cited by 6 publications

(3 citation statements)

References 21 publications

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“…Relevant to communication and efficiency, more issues were documented in human-bot teams than in human-only teams. Lastly, in considering social dynamics, bots remain limited in their ability to support teamwork, necessitating further research on developing socially intelligent machine agents (Fiore, Bracken, Demir, Freeman, & Lewis, 2021).…”

Section: Discussionmentioning

confidence: 99%

EveryBOTy Counts: Examining Human–Machine Teams in Open Source Software Development

Newton

Saadat

Song

et al. 2022

Topics in Cognitive Science

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In this study, we explore the future of work by examining differences in productivity when teams are composed of only humans or both humans and machine agents. Our objective was to characterize the similarities and differences between human and human–machine teams as they work to coordinate across their specialized roles. This form of research is increasingly important given that machine agents are becoming commonplace in sociotechnical systems and playing a more active role in collaborative work. One particular class of machine agents, bots, is being introduced to these systems to facilitate both taskwork and teamwork. We investigated the association between bots and productivity outcomes in open source software development through an analysis of hundreds of project teams. The presence of bots in teams was associated with higher levels of productivity and higher work centralization in addition to greater amounts of observed communication. The adoption of bots in software teams may have tradeoffs, in that doing so may increase productivity, but could also increase workload. We discuss the theoretical and practical implications of these findings for advancing human–machine teaming research.

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Section: Discussionmentioning

confidence: 99%

EveryBOTy Counts: Examining Human–Machine Teams in Open Source Software Development

Newton

Saadat

Song

et al. 2022

Topics in Cognitive Science

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“…This can have the opposite effect regarding perceptual load, increasing distractor processing through reduced executive control (Lavie, 2010). In team science, cognitive load is also considered at the team level, called team cognitive load, defined as the interactions between individual team members and their relationship to the task environment, and technologies to which the team is subject to (Fiore et al, 2021).…”

Section: Introductionmentioning

confidence: 99%

“…Perceptual load is more or less constant while participants move their characters throughout this STE; cognitive load, on the other hand, varies based on the amount of task-relevant information that each participant must keep in working memory at any given time. Because team cognitive load varies over time, it was considered when measuring team members’ compliance in this study (Fiore et al, 2021).…”

Section: Introductionmentioning

confidence: 99%

Understanding the Impact of Team Cognitive Load and Advice Compliance in Urban Search and Rescue Task

Willett,

Demir

2023

Proceedings of the Human Factors and Ergonomics Society Annual

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This research concentrates on the impact of Artificial Social Intelligence (ASI)'s advice intervention text messages and the compliance of three human team members, who communicate via voice to carry out victim rescue operations, on the team's performance. This experiment takes place in a simulated Urban Search and Rescue (USAR) task environment built using Minecraft. The ASI agent, utilizing its analytical components designed around interactive real-time measurements, oversees the team's behavior in the USAR task environment. The agent discerns and forecasts the human team members' actions, offering interventions via text messages to foster and sustain team efficacy. The study examines (1) the influence of the team's cognitive load on message compliance from the advisor, and (2) how these elements collectively affect team performance. The results show a positive association between cognitive load, compliance, and enhanced task performance, despite the lack of a significant correlation between cognitive load and compliance.

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Sequential Theory of Mind Modeling in Team Search and Rescue Tasks

Li¹,

Le²,

Chis³

et al. 2022

Computational Theory of Mind for Human-Machine Teams

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Transdisciplinary Team Research to Develop Theory of Mind in Human-AI Teams Panelists

Cited by 6 publications

References 21 publications

EveryBOTy Counts: Examining Human–Machine Teams in Open Source Software Development

EveryBOTy Counts: Examining Human–Machine Teams in Open Source Software Development

Understanding the Impact of Team Cognitive Load and Advice Compliance in Urban Search and Rescue Task

Sequential Theory of Mind Modeling in Team Search and Rescue Tasks

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