系统视觉搜索的开发和试验:一种旨在改进当前工作场所风险评估实践的视觉检查方法

Q2 Social Sciences
V. Hrymak, J. D. de Vries
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引用次数: 5

摘要

摘要目视检查是危险源识别的核心内容。然而,对于工作场所的检查实践来说,进行不力的目视检查是一个问题,因为应该看到的可观察到的危险经常被遗漏。为了解决这个问题,一种新颖的方法;系统视觉搜索是在使用商业厨房作为工作场所的随机对照试验条件下开发和测试的。共招募了211名参与者,在对照条件下,N = 104正常进行目视检查。在实验条件下 = 107人接受了使用系统视觉搜索的培训。对照组参与者只能识别出厨房中平均33%的可观察到的危险。相反,实验组参与者使用系统的视觉搜索,观察到平均50%的可观察到的危险存在。这17%的改善非常显著,具有较大的效应大小(p≤.001,Cohen’s d = 1.85)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The development and trial of systematic visual search: a visual inspection method designed to improve current workplace risk assessment practice
Abstract Visual inspection is a core element in hazard identification. However, poorly conducted visual inspections are problematical for workplace inspection practice as observable hazards that should be seen, are often missed. To address this problem, a novel method; systematic visual search, was developed and tested under randomised controlled trial conditions using commercial kitchens as workplaces. A total of 211 participants were recruited and in the control condition, N = 104 conducted their visual inspection as normal. In the experimental condition, N = 107 received training in the use of systematic visual search. Control group participants were only able to identify a circa mean 33% of observable hazards in the kitchens. In contrast experimental group participants, using systematic visual search, observed a circa mean 50% of observable hazards present. This 17% improvement was highly significant, with a large effect size (p ≤ .001, Cohen’s d = 1.85).
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来源期刊
Policy and Practice in Health and Safety
Policy and Practice in Health and Safety PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH-
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