• 论文
主办单位:煤炭科学研究总院有限公司、中国煤炭学会学术期刊工作委员会
光照与认知特征下安全标志视觉注意效果研究
  • Title

    Study on visual attention effect of safety signs under light and cognitive characteristics

  • 作者

    高远李乃文牛莉霞

  • Author

    GAO Yuan;LI Naiwen;NIU Lixia

  • 单位

    辽宁工程技术大学工商管理学院

  • Organization
    College of Business Administration, Liaoning Technical University
  • 摘要

    为探讨照度环境和3个安全标志认知特征混合条件下矿工安全标志视觉注意效果,对识别过程中的眼动指标数据进行双因素方差分析;研究模拟了12种不同的混合环境,通过眼动数据进行分析视觉注意效果。结果表明:照度环境对眼动指标均具有显著性影响,低照度环境影响更显著;熟悉度对识别过程有显著影响,富有意义度显著影响首次注视认知负荷,简单性对认知负荷影响不大;光照对安全标志识别的影响更大,高光照环境下低认知特征水平往往更难识别,在安全管理中要重视安全隐患的排查。

  • Abstract

    To explore the visual attention effect of miners’ safety signs under the mixed conditions of illumination environment and cognitive characteristics of three safety signs, a two-factor analysis of variance was conducted on the eye movement indicator data during the recognition process. This study simulated twelve different mixed environment conditions and analyzed visual attention effects through eye tracking data. The results showed that the illumination environment had a significant impact on eye movement indicators, and the low illumination environment havs a more significant impact; familiarity has a significant impact on the recognition process, meaningfulness significantly affects the cognitive load of first gaze, and simplicity has little effect on cognitive load. Light has a greater impact on the recognition of safety signs. In high light environments, low cognitive feature levels are often more difficult to identify. Therefore, in safety management, attention should be paid to the investigation of safety hazards.

  • 关键词

    煤矿安全标志安全人体学危险识别光照环境认知特征视觉注意效果

  • KeyWords

    coal mine safety signs;safety ergonomics;hazard identification;lighting environment;cognitive characteristics;visual attention effect

  • 基金项目(Foundation)
    国家自然科学基金资助项目(52174184)
  • DOI
  • 引用格式
    高远,李乃文,牛莉霞. 光照与认知特征下安全标志视觉注意效果研究[J]. 煤矿安全,2024,55(4):251−256.
  • Citation
    GAO Yuan, LI Naiwen, NIU Lixia. Study on visual attention effect of safety signs under light and cognitive characteristics[J]. Safety in Coal Mines, 2024, 55(4): 251−256.
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