仮想現実における学校銃撃犯に対するロボット介入の効果の検討
Studying the Effects of Robot Intervention on School Shooters in Virtual Reality
VR空間で150人の大学生が学校銃撃犯を演じ、自律ロボットが犯人を妨害・注意をそらす戦略（接近方法と妨害手段）を操作して、被害者数を46.6%削減できることを示した。
著者: Christopher A McClurg, Alan R Wagner
分類: cs.RO, cs.AI, cs.CY, cs.HC
原文アブストラクト
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.