Analyzing Human Perceptions of a MEDEVAC Robot in a Simulated Evacuation Scenario
Tyson Jordan, Pranav Pandey, Prashant Doshi, Ramviyas Parasuraman,, Adam Goodie

TL;DR
This study examines how different operational modes of a MEDEVAC robot influence human perceptions of safety and emotional response in a simulated evacuation, emphasizing the importance of human-robot interaction insights.
Contribution
It introduces a mixed factorial design to evaluate human perceptions of MEDEVAC robots across various operating modes in a simulated scenario.
Findings
Autonomous-fast mode negatively affected perceived safety and emotional states.
Operating mode significantly influenced human perceptions.
No significant differences between casualty and bystander responses.
Abstract
The use of autonomous systems in medical evacuation (MEDEVAC) scenarios is promising, but existing implementations overlook key insights from human-robot interaction (HRI) research. Studies on human-machine teams demonstrate that human perceptions of a machine teammate are critical in governing the machine's performance. Here, we present a mixed factorial design to assess human perceptions of a MEDEVAC robot in a simulated evacuation scenario. Participants were assigned to the role of casualty (CAS) or bystander (BYS) and subjected to three within-subjects conditions based on the MEDEVAC robot's operating mode: autonomous-slow (AS), autonomous-fast (AF), and teleoperation (TO). During each trial, a MEDEVAC robot navigated an 11-meter path, acquiring a casualty and transporting them to an ambulance exchange point while avoiding an idle bystander. Following each trial, subjects completed…
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Taxonomy
TopicsEvacuation and Crowd Dynamics
