Collaborative Research: Worksite-specific Safety Training Environments with Augmented Reality

协作研究：具有增强现实功能的特定工作场所安全培训环境

• 批准号: 2302820
• 负责人: Jeehee LEE
• 金额: $ 11.97万
• 依托单位: University of Nevada Las Vegas
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-06-15 至 2026-05-31
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2302820&HistoricalAwards=false
• 关键词: Collaborative; Research; Worksite; specific; Safety

In high-risk workplaces, such as construction sites, inattention to workplace hazards a common factor in serious injuries and fatalities. Evidence strongly suggests that conventional, lecture-based safety training methods in classroom settings rarely capture workers’ interest and do not decrease accidents. Further, adults often learn best in the context of their own work environments and real-life situations. This suggests that making safety training more closely associated with trainees’ work environments may be more effective than current methods. To this end, this project will construct a personalized augmented reality (AR) training system that uses pictures taken by trainees on their own worksites to recognize site-specific hazards and create replicas of their worksites that show simulated accidents caused by those hazards. This work will require advances in AR environment design, computer vision algorithms, and workplace training pedagogy, and will lead to better occupational safety training practices in high-risk industries and new educational materials for high schools, universities, and industry around occupational safety.The project will be organized in two phases. First, the project will create learner-centered, andragogy-inspired AR safety training environments wherein trainees organize safety training content by themselves and experience potential accidents in the AR environment. This first phase will include (1) developing AI algorithms that detect workplace hazards from the trainees’ worksites; (2) creating an accident scenario pool, which can be adapted to various types, shapes, and scales of real-world hazards; and (3) simulating potential accidents by accurately and seamlessly overlaying AR avatars on detected real-world hazards. In collaboration with industry partners, during the second phase the team will examine the effect of the developed training on workers’ attention to real-world hazards by (1) assessing individual trainees’ hazard recognition abilities, (2) monitoring workers’ physical behaviors near workplace hazards, and (3) comparing the performance of individuals trained using the proposed methods to those trained using conventional methods as well as non-personalized and virtual reality environments.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

在建筑工地等高风险工作场所，对工作场所危险的忽视是造成严重伤害和死亡的常见因素。有证据表明，传统的课堂安全培训方法很少能引起工人的兴趣，也不会减少事故的发生。此外，成年人通常在自己的工作环境和现实生活情境中学得最好。这表明，使安全培训与受训者的工作环境更加紧密地联系起来可能比现有的方法更有效。为此，该项目将构建一个个性化的增强现实（AR）培训系统，该系统使用学员在自己的工作场所拍摄的照片来识别特定地点的危险，并创建其工作场所的复制品，以显示由这些危险引起的模拟事故。这项工作将需要增强现实环境设计、计算机视觉算法和工作场所培训教学法方面的进步，并将在高风险行业中带来更好的职业安全培训实践，并为高中、大学和行业提供围绕职业安全的新教育材料。该项目将分两个阶段进行。首先，该项目将创建以学习者为中心、以成人教育为灵感的AR安全培训环境，学员自行组织安全培训内容，并在AR环境中体验潜在的事故。第一阶段将包括 (1) 开发人工智能算法来检测学员工作场所的工作场所危险； (2) 创建事故场景池，可适应现实世界灾害的各种类型、形状和规模； (3) 通过准确、无缝地将 AR 化身叠加到检测到的现实世界危险上来模拟潜在事故。在第二阶段，团队将与行业合作伙伴合作，通过以下方式检查所开发的培训对工人对现实世界危险的注意力的影响：(1) 评估个别受训者的危险识别能力，(2) 监测工人在工作场所危险附近的身体行为，以及 (3) 将使用拟议方法接受培训的个人的表现与使用传统方法以及非个性化和虚拟现实环境接受培训的个人的表现进行比较。该奖项反映了 通过使用基金会的智力价值和更广泛的影响审查标准进行评估，NSF 的法定使命被认为值得支持。