东北大学学报(自然科学版) ›› 2022, Vol. 43 ›› Issue (9): 1305-1313.DOI: 10.12068/j.issn.1005-3026.2022.09.013

• 机械工程 • 上一篇    下一篇

自动驾驶汽车人机交互信任影响机制

孙晓枫, 赵莹, 吕春梅   

  1. (东北大学 机械工程与自动化学院, 辽宁 沈阳110819)
  • 发布日期:2022-09-16
  • 通讯作者: 孙晓枫
  • 作者简介:孙晓枫(1981-),女,辽宁本溪人,东北大学讲师,博士.
  • 基金资助:
    中央高校基本科研业务费专项资金资助项目(N2203018); 科技部创新方法工作专项(2018IM030200).

Influencing Mechanism of Human-Computer Interaction Trust in Autonomous Vehicles

SUN Xiao-feng, ZHAO Ying, LYU Chun-mei   

  1. School of Mechanical Engineering & Automation, Northeastern University, Shenyang 110819, China.
  • Published:2022-09-16
  • Contact: SUN Xiao-feng
  • About author:-
  • Supported by:
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摘要: 为探讨人们对自动驾驶汽车(autonomous vehicles,AVs)是否信任的影响因素及其作用机制,从信息内容、信息载体、信息通道、系统透明度、技术能力和情况管理6个角度设计了AVs人机交互信任模型.采用结构效度、聚敛效度、区分效度的验证性因子分析、中介效应分析及路径分析对结构方程模型进行拟合检验.研究发现:信息通道、系统透明度和信息载体对于自动驾驶信任影响显著;信息内容、信息载体和信息通道不仅对AVs人机交互信任直接产生影响,还通过系统透明度这一中介变量对AVs人机交互信任产生影响.

关键词: 自动驾驶汽车;人机交互;信任;信息内容;信息载体;信息通道

Abstract: To explore the influencing factors and mechanism of people’s trust on autonomous vehicles(AVs), the trust model of AVs was designed from six perspectives: information content, information carrier, information channel, system transparency, technical capability and situation management. The structure validity, convergent validity and discriminant validity of confirmatory factor analysis, the intermediary effect analysis and path analysis were used for the fitting test of the structural equation model. It was found that information channel, system transparency and information carrier have significant effect on AVs trust. Information content, information carrier and information channels not only affect AVs trust directly, but also affect AVs trust through the intermediary variable of system transparency.

Key words: autonomous vehicle; human-computer interaction; trust; information content; information carrier; information channel

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