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Person perception is influenced by both external behaviors and the observer’s internal characteristics, including personality traits. Individuals with dark personality traits, comprising psychopathy, Machiavellianism, and narcissism — collectively known as the dark triad – exhibit manipulative and exploitative tendencies in social contexts. These traits affect how they perceive others and how they are perceived.The Role of Dark Personality Traits in Person PerceptionBlack et...
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相关实验视频

Updated: Mar 15, 2026

Measuring Attentional Biases for Threat in Children and Adults
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一种基于危险预兆的感知能力测试的驾驶员选方法.

Longfei Chen1, Xiaoyuan Wang1, Jingheng Wang2

  • 1College of Electromechanical Engineering, Qingdao University of Science and Technology, Qingdao 266000, China.

Sensors (Basel, Switzerland)
|March 14, 2026
PubMed
概括

优秀的司机可以在事故发生之前感知到危险的预兆. 这项研究确定了它们独特的生物电和眼睛运动模式,使得查能够提高自动驾驶安全性.

关键词:
自动驾驶自动驾驶的自动驾驶.危险的预兆 感知 危险的预兆司机 司机 司机 司机车辆 车辆 车辆 车辆 车辆

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科学领域:

  • 神经科学和认知科学 神经科学和认知科学
  • 汽车工程 汽车工程
  • 人类因素 心理学 心理学

背景情况:

  • 之前的研究证实了事故前的警告信号,但缺乏对高度感知驾驶员特征的理解.
  • 现有的研究没有提供识别具有优越危险感知能力的个体的方法.

研究的目的:

  • 研究能够感知危险预兆的司机的生物心理生理学特征.
  • 开发一种选方法,用于识别具有高感官敏捷性和危险感知的驾驶员.
  • 为开发先进的驾驶辅助系统和自动驾驶技术提供信息.

主要方法:

  • 设计危险场景并进行危险感知测试,收集生物电信号 (EEG,ECG) 和眼动数据.
  • 在视频播放期间分析了脑电图 (EEG) 数据,以确定预兆感知时刻.
  • 使用统计测试 (科尔莫戈罗夫-斯米尔诺夫,曼-惠特尼U) 来比较驾驶员群体.
  • 开发并验证了一个结构方程模型,使用生物电和眼动数据进行查.

主要成果:

  • 确定了独特的生物电气和眼睛运动特征,使那些感知危险预兆的司机与其他司机有所区别.
  • 建立了一个经过验证的结构方程模型,用于选能够感知危险预兆的司机.
  • 证明了使用生理和行为数据进行危险感知评估的可行性.

结论:

  • 该研究提供了一种新的方法来选具有卓越预兆感知能力的司机.
  • 研究结果为自动驾驶系统开发类似大脑的智能提供了洞察力.
  • 结果有助于提高车辆主动安全,并推进自动驾驶技术.