Pilot Study to Investigate and evaluate Factors impacting Highway Construction Workers' Hazard Recognition Performance

调查和评估影响公路施工人员危险识别绩效因素的试点研究

• 批准号: 10727565
• 负责人: Nazila Roofigari-Esfahan
• 金额: $ 7.09万
• 依托单位: VIRGINIA POLYTECHNIC INST AND ST UNIV
• 依托单位国家: 美国
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-09-30 至 2025-09-29
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10727565
• 关键词: Pilot; Study; Investigate; evaluate; Factors

Pilot Study to Investigate and Evaluate Factors impacting Highway Construction Workers' Hazard Recognition Performance Project Summary Highway work zones are dangerous environments where any mistake in recognizing hazards could lead to a fatal outcome for workers. Highway construction workers have a high risk of exposure to two of the fatal four hazards, i.e., struck-by and caught-in-between. In 2020, over 102,000 work zone crashes occurred resulting in over 45,000 injuries and 857 fatalities. Workplace safety perception includes site hazard identification and risk measurement to prevent occurrences of accidents/incidents. This research serves as one of the initial studies to take a wholistic approach towards factors that impact highway workers’ cognitive load and its effect on their hazard recognition performance. Highway workers’ hazard recognition performance will be measured by a variety of objective and subjective metrics. To this end, interactive virtual reality highway work zone scenarios will be designed in collaboration with a panel of industry professionals. Forty Highway workers and construction students will be recruited to participate in the VR experiment. VR head-mount display equipped with eye-tracking technology will be used to understand how workers examine their environments during hazard recognition activities, and whether such search patterns change in response to different intrinsic and extrinsic factors. Eye movements will be recorded as the workers navigate the simulated virtual construction site and recognize safety hazards. During the experiment, the workers will be assigned to different tasks, under different environmental states. The experiments will also be conducted during different times of the day to evaluate the added impact of fatigue on the hazard recognition. Each participant will start with one normal scenario, and will gradually experience change in factors. The cognitive workload, which is highly connected to workers’ attention resource allocation, will be measured according to participants’ gaze fixation, visual search track, and attention map. After each experiment, participants will be asked to fill out a NASA-TLX questionnaire to collect their perceived cognitive workload. Following the prescriptive data analysis by comparing participants’ eye movement metrics and subjective feedback, recommendations will be provided towards the design of intervention systems to improve highway worker safety. The recommendations will specifically include: (1) need for augmenting workers hazard detection capability; (2) technology interventions that can be effectively used to help workers in hazard recognition. The proposed work will broadly contribute to NORA Strategic Goals in Construction sector (NORA agenda for construction sector- Objective 3: Struck-by)

公路施工人员职业道德影响因素调查与评价初探 危害识别性能 项目摘要 高速公路工作区是危险的环境，任何识别危险的错误都可能导致 对工人来说是致命的。公路建筑工人有很高的风险暴露于两个 致命的四大危害，即，被击中并夹在中间2020年，超过102，000起工作区事故 事故造成超过45，000人受伤、857人死亡。工作场所安全感包括现场 危害识别和风险测量，以防止事故/事件的发生。本研究 作为对影响高速公路的因素采取整体方法的初步研究之一 认知负荷及其对危险识别绩效的影响。公路工人的危险 识别性能将通过各种客观和主观度量来测量。为此目的， 交互式虚拟现实高速公路工作区方案将与一个小组合作设计， 行业专业人士。将招募40名公路工人和建筑学生参加 在VR实验中。配备眼动追踪技术的VR头戴式显示器将用于 了解工人在危险识别活动中如何检查他们的环境，以及 这种搜索模式响应于不同的内在和外在因素而改变。眼球运动将 当工人在模拟的虚拟建筑工地中行走并认识到安全隐患时，记录下来。 在实验过程中，工人将被分配到不同的任务，在不同的环境下， states.实验还将在一天中的不同时间进行，以评估添加的 疲劳对危险识别的影响。每个参与者将从一个普通场景开始， 逐渐经历了各种因素的变化。认知工作量，这是高度连接到工人的 注意力资源分配，将根据参与者的注视固定，视觉搜索 跟踪和注意力地图。每次实验后，参与者将被要求填写一份NASA-TLX 问卷调查收集他们感知的认知工作量。按照规定的数据分析， 通过比较参与者的眼球运动指标和主观反馈， 为设计干预系统以改善公路工人的安全提供了支持。的 具体建议包括：（1）需要提高工人探测危险的能力; (2)可以有效地用于帮助工人识别危险的技术干预措施。的 拟议的工作将广泛地促进诺拉在建筑部门的战略目标（诺拉议程 建筑部门-目标3：罢工）