Effects of speech-based intervention with positive comments on reduction of driver's anger state and perceived workload, and improvement of driving performance

被引：20
作者：
Li, Shuling [1 ]
Zhang, Tingru [2 ]
Zhang, Wei [1 ]
Liu, Na [3 ]
Lyu, Gaoyan [4 ]
机构：
[1] Tsinghua Univ, Dept Ind Engn, State Key Lab Automot Safety & Energy, Beijing, Peoples R China
[2] Shenzhen Univ, Coll Mechatron & Control Engn, Inst Human Factors & Ergon, Shenzhen, Guangdong, Peoples R China
[3] Beijing Univ Posts & Telecommun, Sch Econ & Management, Beijing, Peoples R China
[4] Peking Univ, Guanghua Sch Management, Beijing, Peoples R China
来源：
APPLIED ERGONOMICS | 2020年 / 86卷
基金：
北京市自然科学基金; 国家重点研发计划; 中国国家自然科学基金;
关键词：
Driving anger; Speech-based intervention; Positive comments; SITUATION AWARENESS; MENTAL WORKLOAD; WARNING SIGNALS; FEEDBACK; EMOTION; PRAISE; PERSPECTIVE; DISPLAYS; SYSTEMS; SCALE;
D O I：
10.1016/j.apergo.2020.103098
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
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.
引用
收藏
页数：10
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