Presentation
Nonlinear Human-Robot Team Dynamics: A Physiological Synchrony Examination
DescriptionReal-world applications of robots (such as emergency response) will require them to interact with multiple humans to form multi-human-robot teams (mHRT). While appropriate trust in robots is critical for efficient operations in dyadic human-robot interactions, examinations on the impact of robots on team trust dynamics and team processes are understudied. Forty-six participants, forming twenty-three teams, searched for victims in the building within a simulated urban search and rescue environment. The team had three interdependent and distinct roles: mission commander, safety officer, and navigation specialist (Wizard of Oz robot). Cross-recurrent quantification analysis was performed on inter-beat-interval heart rate data obtained from the two participants per team. Specifically, we use the percentage of recurrent points (recurrence rate; RR) and the proportion of recurrent points forming a diagonal (determinism; DET) as the synchrony measures. Our results show that higher DET and RR values were associated with better performance outcomes, suggesting stronger team coupling and engagement when faced with unreliable automation. Further, these values showed a negative correlation with trust measures, implying that RR indicated team trust but not dyad trust. These findings contribute to understanding nonlinear dynamics in human-robot collaboration, emphasizing the need for continuous monitoring of team processes to improve outcomes.
Event Type
Lecture
TimeThursday, October 16th11:50am - 12:10pm CDT
LocationGrand Hall K
Human AI Robot Teaming (AI)