Human-AI Communication in First Aid Response: Effects on Team Performance, Trust, and Teamwork Appraisal
Year: 2025
Type: conference-paper
Abstract: This study examines human-AI communication in simulated first aid scenarios, exploring its impact on team performance, AI teammate trust, and perceived workload and self-efficacy. Twenty-five participants without first aid training collaborated with an autonomous 9-1-1 call taker (ChatGPT-3) to administer bleeding control actions on a specialized mannequin. During the simulations, participants followed inconsistent and, at times, inaccurate AI instructions while passively responding to AI commands and questions. However, participants perceived the AI's instructions to be accurate, helpful, and easy to follow and, irrespective of first aid performance, participants consistently reported high self-efficacy and trust in the AI teammate. The study highlights the importance of team roles (i.e., leader versus follower) and role-based communication in fostering trust and perceived self-efficacy within human-AI teams, and outlines design implications for human-AI teaming in safety-critical contexts.
DOI: 10.59297/1v67zn37
Authors: Rob Grace, Changwon Son, Feifei Pang, Killian Parker, Jacob Hernandez
Institutions: University of Cincinnati, Texas Tech University
Language: English
Subfield: Social Psychology
Field: Psychology
Domain: Social Sciences
Open Access status: bronze
OpenAlex ID: W4410109883