A Quantitative Method of Assessing the Hazard Perception of Drivers in Human–Machine Codriving Vehicles

IF 3.4 3区计算机科学 Q2 COMPUTER SCIENCE, CYBERNETICS

International Journal of Human-Computer Interaction Pub Date : 2024-09-12 DOI:10.1080/10447318.2024.2397180

Zhongxiang Feng, Jingyu Li, Jing Liu, Wei Hao, Jiabin Zeng, Xiaoqin Xu, Zhipeng Huang

引用次数: 0

Abstract

Hazard perception, as a dynamic indicator, intuitively characterizes drivers’ ability to detect potential hazard events in complex driving environments. However, current quantitative research on th...

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评估驾驶员对人机共驾车辆危险感知的定量方法

危险感知作为一种动态指标，直观地描述了驾驶员在复杂驾驶环境中检测潜在危险事件的能力。然而，目前关于危险感知的定量研究还处于起步阶段。

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

International Journal of Human-Computer Interaction 工程技术-计算机：控制论

CiteScore

9.00

自引率

21.30%

发文量

347

审稿时长

2 months

期刊介绍： The International Journal of Human-Computer Interaction addresses the cognitive, creative, social, health, and ergonomic aspects of interactive computing. It emphasizes the human element in relation to the systems and contexts in which humans perform, operate, network, and communicate, including mobile apps, social media, online communities, and digital accessibility. The journal publishes original articles including reviews and reappraisals of the literature, empirical studies, and quantitative and qualitative contributions to the theories and applications of HCI.