Influencing Mechanism of Human-Computer Interaction Trust in Autonomous Vehicles

doi:10.12068/j.issn.1005-3026.2022.09.013

Abstract

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

CLC Number:

TP11

SUN Xiao-feng， ZHAO Ying， LYU Chun-mei. Influencing Mechanism of Human-Computer Interaction Trust in Autonomous Vehicles[J]. Journal of Northeastern University(Natural Science), 2022, 43(9): 1305-1313.

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