低警觉检测的心理生理模型:一个范围审查
Alexandre Marois1,2, Maëlle Kopf1, Michelle Fortin3
1Thales Research and Technology Canada, Quebec City, Québec, Canada.
Psychophysiology
|June 23, 2023
概括
低警觉性是事故的关键因素,可以通过心理生理学来预测. 本综述综合了这些模型的当前知识,突出了运营安全的局限性和应用.
科学领域:
- 运营心理学 运营心理学
- 神经科学是一个神经科学.
- 人类因素工程 人类因素工程
背景情况:
- 低警觉性对运营环境中的事故有很大影响.
- 运营商通常负责监控和管理警.
- 传感技术的进步使基于心理生理学的低警觉预测模型成为可能.
研究的目的:
- 对用于低警觉检测的心理生理学模型进行范围审查.
- 了解这些模型的知识和应用的当前状态.
- 确定局限性,并讨论在运营环境中的潜在应用.
主要方法:
- 在MEDLINE,PsychInfo和Inspec数据库中的系统文献搜索.
- 包括经验研究评估警测量工具与黄金标准比较和预测性能.
- 使用 QUADAS 和 PROBAST 工具进行质量评估,以评估偏差.
主要成果:
- 审查了21份记录,主要关注的是驾驶环境.
- 采用了常见的心理生理学技术,但预测方法和黄金标准差异很大.
- 发现的关键偏见包括参与者选择和分析.
结论:
- 低警觉检测的心理生理模型有希望,但需要进一步改进.
- 了解当前模型的局限性和可变性对于有效应用至关重要.
- 未来的研究应该解决已识别的偏见,并为操作使用标准化方法.
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