The effects of social interactions with in-vehicle agents on a driver's anger level, driving performance, situation awareness, and perceived workload

被引:49
作者
Jeon, Myounghoon [1 ]
Walker, Bruce N. [2 ]
Gable, Thomas M. [2 ]
机构
[1] Michigan Technol Univ, Dept Cognit & Learning Sci, Mind Mus Machine Lab, Houghton, MI 49931 USA
[2] Georgia Inst Technol, Sch Psychol, Sonificat Lab, Atlanta, GA 30332 USA
关键词
In-vehicle agent; Road rage; Situation awareness; EMOTION REGULATION; ROAD RAGE; ATTENTION; AGGRESSION; EXPERIENCE; ANXIETY; ALARMS; MEMORY; US;
D O I
10.1016/j.apergo.2015.03.015
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Research has suggested that interaction with an in-vehicle software agent can improve a driver's psychological state and increase road safety. The present study explored the possibility of using an in-vehicle software agent to mitigate effects of driver anger on driving behavior. After either anger or neutral mood induction, 60 undergraduates drove in a simulator with two types of agent intervention. Results showed that both speech-based agents not only enhance driver situation awareness and driving performance, but also reduce their anger level and perceived workload. Regression models show that a driver's anger influences driving performance measures, mediated by situation awareness. The practical implications include design guidelines for the design of social interaction with in-vehicle software agents. (C) 2015 Elsevier Ltd and The Ergonomics Society. All rights reserved.
引用
收藏
页码:185 / 199
页数:15
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