Inter-Brain Synchrony Signals Shifts in Multi-Human Robot Team Dynamics Amidst Uncertainties

As robots increasingly integrate into human teams for critical domains, understanding the team dynamics within these multi-human-robot teams (mHRTs) becomes essential. While previous work has explored trust in human-robot interactions, there still needs to be a gap in examining how trust evolves and propagates within mHRTs. This study investigated team trust networks using neural measures in mHRTs under varying robot reliability conditions. A total of 23 teams completed search and rescue tasks in a virtual environment, with one member being an autonomous robot navigator (reliable/unreliable). Results indicate that while unreliable robot performance led to decreased trust in the robot, human dyad trust did not falter. Unreliable robot teammates weakened IBS in regions associated with individuals’ comprehension of others’ beliefs, intentions, and social judgments. These findings highlight emergent shifts in team processes under robot uncertainties that were captured using neural synchrony.

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Publication Details

Journal
Proceedings of the Human Factors and Ergonomics Society Annual Meeting
Published
2024-09-01
DOI
https://doi.org/10.1177/10711813241275510
Citations
1
Primary Topic
Human-Automation Interaction and Safety
Type
article
Field-Weighted Citation Impact
0.64
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article

Inter-Brain Synchrony Signals Shifts in Multi-Human Robot Team Dynamics Amidst Uncertainties

Ranjana K. Mehta, Aakash Yadav
1 citations
Proceedings of the Human Factors and Ergonomics Society Annual Meeting
Human-Automation Interaction and Safety
0.64
article

Inter-Brain Synchrony Signals Shifts in Multi-Human Robot Team Dynamics Amidst Uncertainties

Ranjana K. Mehta, Aakash Yadav
article en
1 citations

Abstract

As robots increasingly integrate into human teams for critical domains, understanding the team dynamics within these multi-human-robot teams (mHRTs) becomes essential. While previous work has explored trust in human-robot interactions, there still needs to be a gap in examining how trust evolves and propagates within mHRTs. This study investigated team trust networks using neural measures in mHRTs under varying robot reliability conditions. A total of 23 teams completed search and rescue tasks in a virtual environment, with one member being an autonomous robot navigator (reliable/unreliable). Results indicate that while unreliable robot performance led to decreased trust in the robot, human dyad trust did not falter. Unreliable robot teammates weakened IBS in regions associated with individuals’ comprehension of others’ beliefs, intentions, and social judgments. These findings highlight emergent shifts in team processes under robot uncertainties that were captured using neural synchrony.

Proceedings of the Human Factors and Ergonomics Society Annual MeetingVol. 68(1)
University of Wisconsin–Madison (US)
Openalex Percentile: Top 27%
Human-Automation Interaction and Safety
0.64
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