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

来源：

APPLIED ERGONOMICS | 2015年 / 50卷

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

页码：185 / 199

页数：15