ISSN 0439-755X
CN 11-1911/B

Acta Psychologica Sinica ›› 2026, Vol. 58 ›› Issue (7): 1279-1296.doi: 10.3724/SP.J.1041.2026.1279

• Academic Papers of the 28th Annual Meeting of the China Association for Science and Technology • Previous Articles     Next Articles

The impact of privacy risk perception on initial trust in autonomous vehicle: Differential responses of professionals and non-professionals

SUN Yifei1,2, LI Xiulan1,2, DU Feng3,4, QI Yue1,2()   

  1. 1 The Department of Psychology, Renmin University of China, Beijing 100872, China
    2 The Laboratory of the Department of Psychology, Renmin University of China, Beijing 100872, China
    3 State Key Laboratory of Cognitive Science and Mental Health, Chinese Academy of Sciences, Beijing 100101, China
    4 Department of Psychology, University of Chinese Academy of Sciences, Beijing 100049, China
  • Published:2026-07-25 Online:2026-05-15
  • Contact: QI Yue E-mail:qiy@ruc.edu.cn.
  • Supported by:
    National Natural Science Foundation of China(32471130);National Natural Science Foundation of China(32000771);Fundamental Research Funds for the Central Universities, and the Research Funds of Renmin University of China(21XNLG13);fund for building world-class universities (disciplines) of Renmin University of China. Project No. 2018(RUCPSY0007)

Abstract:

Previous research has primarily focused on under-trust in autonomous driving systems. However, over-trust among ordinary consumers may likewise lead to system misuse and increased usage risks. Drawing on three empirical studies, the present research systematically examined the influence of professional background on initial trust, with a particular focus on comparing and calibrating the trust levels of ordinary consumers to be closer to those of industry professionals as domain experts. Study 1 found that non-professionals exhibited a tendency toward over-trust, and that perceived privacy risk interacted with professional background in predicting initial trust. Study 2 further manipulated privacy risk levels and revealed differential responses between professionals and non-professionals. Specifically, increased risk levels significantly heightened non-professionals’ perceived privacy risk and reduced their initial trust, whereas professionals’ initial trust was comparatively less affected by changes in risk levels. Study 3 further revealed an asymmetric response among non-professionals to privacy risk information. Under low-risk conditions, although perceived privacy risk increased significantly, initial trust showed no significant change. In contrast, under high-risk conditions, perceived privacy risk increased significantly while initial trust decreased significantly. Taken together, these findings reveal the interactive effects of professional background and perceived privacy risk on initial trust in autonomous vehicles, highlighting the differences between professionals and non-professionals in the formation of initial trust. The findings further suggest that designers of autonomous driving systems should adopt more targeted trust calibration strategies to address the differential responses of professionals and non-professionals.

Key words: Autonomous vehicle, initial trust, professional background, perceived privacy risk, human-AI trust