Studying the Effects of Robot Intervention on School Shooters in Virtual Reality
Christopher A McClurg, Alan R Wagner
TL;DR
This studyAddresses whether autonomous robots can delay or distract an active school shooter using a VR simulation with 150 participants role-playing as shooters. It examines two design factors—robot approach (passive vs aggressive) and distraction (low, medium, high)—and demonstrates that an aggressive approach with high-distraction cues can reduce victims by about 46.6% relative to a no-robot baseline, while also eliciting strong attentional shifts toward the robot. The work provides insights into multimodal distraction effectiveness, gaze dynamics, and ethical considerations, contributing design guidelines for safe, adaptive robotic interventions in school safety contexts. The findings support the potential utility of robots for emergency response but underscore the need for careful ethical, safety, and real-world validation considerations before deployment.
Abstract
We advance the understanding of robotic intervention in high-risk scenarios by examining their potential to distract and impede a school shooter. To evaluate this concept, we conducted a virtual reality study with 150 university participants role-playing as a school shooter. Within the simulation, an autonomous robot predicted the shooter's movements and positioned itself strategically to interfere and distract. The strategy the robot used to approach the shooter was manipulated -- either moving directly in front of the shooter (aggressive) or maintaining distance (passive) -- and the distraction method, ranging from no additional cues (low), to siren and lights (medium), to siren, lights, and smoke to impair visibility (high). An aggressive, high-distraction robot reduced the number of victims by 46.6% relative to a no-robot control. This outcome underscores both the potential of robotic intervention to enhance safety and the pressing ethical questions surrounding their use in school environments.
