%0 Journal Article
%T 路怒识别与实时监测&#65306;技术进展与挑战<br>Road Rage Identification and Real-Time Monitoring: Technological Advances and Challenges
%A 江靖恺
%A 刘宏艳
%J Advances in Psychology
%P 447-460
%@ 2160-7281
%D 2024
%I Hans Publishing
%R 10.12677/ap.2024.148567
%X &#8220;路怒&#8221;会显著影响驾驶表现、增加交通事故风险。为了有效预防路怒的发生&#65292;研究人员已经开发出多种技术和方法尝试对路怒情绪进行准确识别和实时监测&#65292;这包括路怒特质与倾向测量、路怒状态的监测以及情感计算技术的应用。目前的监测技术已有长足发展&#65292;但仍存在一些局限和挑战&#65292;未来的研究需要综合利用个人特征和情景数据&#65292;并增加车内因素的权重分析。<br>Road rage can significantly affect driving performance and increase the risk of traffic accidents. To effectively prevent the occurrence of road rage, researchers have developed various technologies and methods to accurately identify and monitor road rage emotions in real time, including the measurement of road rage traits and tendencies, monitoring of road rage states, and the application of affective computing technology. The current monitoring technology has made great progress, but there are still some limitations and challenges. Future research needs to comprehensively utilize personal characteristics and situational data, and increase the weight analysis of in-vehicle factors.
%K 驾驶情绪&#65292
%K 多模态&#65292
%K 特质测量&#65292
%K 情感计算&#65292
%K 状态监测<br>Driving Emotions
%K Multimodal
%K Trait Measurement
%K Affective Computing
%K State Monitoring
%U http://www.hanspub.org/journal/PaperInformation.aspx?PaperID=94679