Neural mechanisms behind semantic congruity of construction safety signs: An EEG investigation on construction workers

IF 2.2 3区 工程技术 Q3 ENGINEERING, MANUFACTURING Human Factors and Ergonomics in Manufacturing & Service Industries Pub Date : 2022-11-14 DOI:10.1002/hfm.20979
Jinchun Wu, Xiaoxi Du, Mu Tong, Qi Guo, Junkai Shao, Annette Chabebe, Chengqi Xue
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引用次数: 3

Abstract

Accurate comprehension of safety signs plays a critical part in warning construction workers of potential work hazards. However, existing studies have rarely investigated construction workers' comprehension of safety signs at construction sites. Moreover, existing evaluation methods are generally based on subjective behavior tests, questionnaires, and interviews. Therefore, this study examined the effects of semantic congruity on the comprehension of safety signs, including two sign types (prohibition vs. warning signs) and two conditions (semantic congruence vs. incongruence), combining event-related potentials and time-frequency analysis measurements. Adopting the S1-S2 paradigm, electroencephalogram data were recorded when participants decided whether S1 and S2 were semantically congruent or not. Results showed that the semantically incongruent safety sign-word pairs elicited larger N400 amplitudes and increased theta (3–8 Hz) power in 300–420 ms. The amplitude of N400 in the semantically incongruent condition of the warning sign-word pairs was more negative than that for the prohibition sign-word pairs, while there were no significant differences between the prohibition and warning sign-word pairs in the semantically congruent condition. A greater late positive potential (LPP) (550–750 ms) was also elicited in the semantically incongruent safety sign-word pairs, which was different from previous studies that observed larger LPP in congruent conditions. These results suggest complicated cognitive mechanisms of safety sign comprehension in construction workers. This study extends safety sign comprehension research by using electrophysiological approaches and provides useful indicators for researchers or safety engineers to measure the semantic congruity of proposed sign designs.

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建筑安全标志语义一致性背后的神经机制——对建筑工人的脑电图调查
准确理解安全标志对于警告施工人员潜在的工作危险起着至关重要的作用。然而,现有的研究很少调查建筑工人对建筑工地安全标志的理解。此外,现有的评估方法通常基于主观行为测试、问卷调查和访谈。因此,本研究结合事件相关电位和时频分析测量,考察了语义一致性对安全标志理解的影响,包括两种标志类型(禁止与警告标志)和两种条件(语义一致与不一致)。采用S1-S2范式,当参与者决定S1和S2在语义上是否一致时,记录脑电图数据。结果表明,语义不一致的安全标志词对引发了更大的N400振幅和增加的θ(3-8 Hz)功率,300–420 警告标志词对的语义不一致条件下N400的幅度比禁止标志词对更负,而在语义一致条件下禁止标志词和警告标志词之间没有显著差异。更大的后期正电位(LPP)(550–750 ms)也在语义不一致的安全符号-词对中引发,这与先前在一致条件下观察到较大LPP的研究不同。这些结果表明建筑工人理解安全标志的认知机制是复杂的。本研究通过使用电生理方法扩展了安全标志理解研究,并为研究人员或安全工程师测量拟议标志设计的语义一致性提供了有用的指标。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
5.20
自引率
8.30%
发文量
37
审稿时长
6.0 months
期刊介绍: The purpose of Human Factors and Ergonomics in Manufacturing & Service Industries is to facilitate discovery, integration, and application of scientific knowledge about human aspects of manufacturing, and to provide a forum for worldwide dissemination of such knowledge for its application and benefit to manufacturing industries. The journal covers a broad spectrum of ergonomics and human factors issues with a focus on the design, operation and management of contemporary manufacturing systems, both in the shop floor and office environments, in the quest for manufacturing agility, i.e. enhancement and integration of human skills with hardware performance for improved market competitiveness, management of change, product and process quality, and human-system reliability. The inter- and cross-disciplinary nature of the journal allows for a wide scope of issues relevant to manufacturing system design and engineering, human resource management, social, organizational, safety, and health issues. Examples of specific subject areas of interest include: implementation of advanced manufacturing technology, human aspects of computer-aided design and engineering, work design, compensation and appraisal, selection training and education, labor-management relations, agile manufacturing and virtual companies, human factors in total quality management, prevention of work-related musculoskeletal disorders, ergonomics of workplace, equipment and tool design, ergonomics programs, guides and standards for industry, automation safety and robot systems, human skills development and knowledge enhancing technologies, reliability, and safety and worker health issues.
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