用虚拟现实测试机器人如何阻拦校园枪手，效果显著。
Studying the Effects of Robot Intervention on School Shooters in Virtual Reality
- 设计智能机器人预测并干扰模拟枪手行动路径。
- 激进策略+高干扰使受害者减少46.6%。
- 适合安全研究与人机协同应急系统开发者。
我们通过虚拟现实实验深化对机器人在高危场景中干预作用的理解，评估其分散和阻碍校园枪手的能力。150名大学生参与者扮演模拟枪手角色。实验中，自主机器人根据枪手动作预判并主动干预，采取两种接近策略：直接拦截（激进）或保持距离（被动），同时设置三种干扰等级：无额外提示（低）、警报与灯光（中）、警报、灯光及烟雾遮挡视线（高）。结果显示，激进且高干扰的机器人相比无机器人控制组，受害者数量减少46.6%。该结果凸显了机器人干预在提升校园安全方面的潜力，也引发其在校园环境中应用的紧迫伦理问题。
原文摘要 · Abstract (English)
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.
Thank you to arXiv for use of its open access interoperability. PaperDance 不是 arXiv 官方产品；中文卡片由大模型生成，请以原文为准。