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)

公路施工人员影响因素调查评价试点研究 危险识别性能 项目概要 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 公路建筑工人接触其中两种物质的风险很高。 致命的四种危险，即被撞和夹在中间 2020 年，超过 102,000 起工作区事故。 事故造成超过 45,000 人受伤和 857 人死亡。工作场所安全认知包括现场。 危险识别和风险测量，以防止事故/事件的发生。 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 工人的认知负荷及其对危险识别绩效的影响。 识别性能将通过各种客观和主观指标来衡量。 将与一组专家合作设计交互式虚拟现实高速公路工作区场景 将招募四十名公路工人和建筑专业学生参加。 在VR实验中，将使用配备眼球追踪技术的VR头戴式显示器。 了解工人在危险识别活动期间如何检查他们的环境，以及是否 这种搜索模式会根据不同的内在和外在因素而变化。 当工人在模拟的虚拟建筑工地中导航并识别安全隐患时，这些信息都会被记录下来。 实验过程中，工人将被分配到不同的任务，在不同的环境下 实验还将在一天中的不同时间进行，以评估添加的内容。 疲劳对危险识别的影响 每个参与者将从一种正常情况开始，并将 逐渐经历因素的变化，这与工人的认知工作量密切相关。 注意力资源分配，将根据参与者的注视、视觉搜索来衡量 每次实验后，参与者将被要求填写 NASA-TLX。 问卷调查收集他们感知的认知工作量，并进行规定性数据分析。 比较参与者的眼动指标和主观反馈，建议将是 提供干预系统的设计，以提高公路工人的安全。 建议将具体包括： (1) 需要增强工人危险检测能力； (2)可有效利用技术干预来帮助工人识别危险。 拟议的工作将广泛促进 NORA 建筑领域的战略目标（NORA 议程 建筑行业 - 目标 3：被击中）