Validation and Evacuee Modeling of Virtual Robot-guided Emergency Evacuation Experiments

Virtual Reality (VR) is an increasingly common tool for investigating human responses to emergency situations. Nonetheless, studies validating and comparing human subject behavior during real world emergencies to their responses in VR are notably rare, and no prior studies have validated whether human emergency responses to guidance from a robot are comparable in VR versus the real world. In the present pre-registered study, we used VR to replicate a previous robot-guided emergency evacuation study conducted in the real world and compared human subject behavior in matched physical and virtual environments. In both environments, human subjects were asked to follow a robot to a location and to then read an article. While reading, a fire alarm sounds. The robot then attempted to guide them to a distant, unfamiliar exit rather than a nearby and familiar exit. We observed close correspondences between evacuee exit choice (the robot’s distant exit versus closer exits), evacuation time, and self-reported trust in the robot between the VR and physical environments. We further demonstrate that data collected in virtual reality can be used to create accurate motion models (mean positional error of 0.42 meters) predicting evacuee trajectories and locations in the physical environment.

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Publication Details

Journal
ACM Transactions on Human-Robot Interaction
Published
2026-11-07
DOI
https://doi.org/10.1145/3861077
Primary Topic
Evacuation and Crowd Dynamics
Type
article
Field-Weighted Citation Impact
0.00

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article

Validation and Evacuee Modeling of Virtual Robot-guided Emergency Evacuation Experiments

Ghanghoon Paik, Mollik Nayyar, Savanna Spazak, Alan Richard Wagner et al.
1 links
ACM Transactions on Human-Robot Interaction
Evacuation and Crowd Dynamics
article

Validation and Evacuee Modeling of Virtual Robot-guided Emergency Evacuation Experiments

Ghanghoon Paik, Mollik Nayyar, Savanna Spazak, Alan Richard Wagner, Yinxuan Yin, Gale Lucas, Colin Holbrook, Daniel Holman
article en

Abstract

Virtual Reality (VR) is an increasingly common tool for investigating human responses to emergency situations. Nonetheless, studies validating and comparing human subject behavior during real world emergencies to their responses in VR are notably rare, and no prior studies have validated whether human emergency responses to guidance from a robot are comparable in VR versus the real world. In the present pre-registered study, we used VR to replicate a previous robot-guided emergency evacuation study conducted in the real world and compared human subject behavior in matched physical and virtual environments. In both environments, human subjects were asked to follow a robot to a location and to then read an article. While reading, a fire alarm sounds. The robot then attempted to guide them to a distant, unfamiliar exit rather than a nearby and familiar exit. We observed close correspondences between evacuee exit choice (the robot’s distant exit versus closer exits), evacuation time, and self-reported trust in the robot between the VR and physical environments. We further demonstrate that data collected in virtual reality can be used to create accurate motion models (mean positional error of 0.42 meters) predicting evacuee trajectories and locations in the physical environment.

ACM Transactions on Human-Robot Interaction
University of Southern California (US), Pennsylvania State University (US), University of California, Merced (US)
National Science Foundation, Air Force Office of Scientific Research, Army Research Office
Openalex Percentile: Top 100%
Evacuation and Crowd Dynamics
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