State Key Laboratory of Automotive Safety and Energy, Department of Industrial Engineering, Tsinghua University, Beijing, China.
College of Mechatronics and Control Engineering, Institute of Human Factors and Ergonomics, Shenzhen University, Shenzhen, China.
Appl Ergon. 2020 Jul;86:103098. doi: 10.1016/j.apergo.2020.103098. Epub 2020 Mar 13.
Research suggests that speech-based interventions can mitigate driving anger and enhance road safety. The present study found that both positive and negative comments can reduce anger state and perceived workload, and improve driving performance. In addition, positive comment including description of the driving environment and comment on drivers is more effective than negative comment intervention, which is indicated by larger effect size and higher user satisfaction and acceptance. The research findings could provide practical implications on the design of in-vehicle intelligent agents for driving behavior intervention.
研究表明，基于语音的干预措施可以减轻驾驶愤怒情绪，提高道路安全。本研究发现，积极和消极的评论都可以减少愤怒状态和感知的工作负荷，并提高驾驶表现。此外，包含对驾驶环境的描述和对驾驶员的评价的积极评论比消极评论干预更有效，这表现在更大的效应量以及更高的用户满意度和接受度上。研究结果可为驾驶行为干预的车载智能代理的设计提供实际意义。
