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自上而下的规范与心理赋权:解释中国公众对自动驾驶的接受度

Top-down norms and psychological empowerment: Explaining Chinese public acceptance of autonomous driving.

作者信息

Liao Wenjun, Liu Xukang, Jiang Kaixuan, Liu Xiangqun, Yang Jianjun, Chen Jia

机构信息

School of Automobile and Transportation, Xihua University, Chengdu, China.

Xihua Jiaotong Forensics Center, Chengdu, China.

出版信息

PLoS One. 2025 Sep 11;20(9):e0331911. doi: 10.1371/journal.pone.0331911. eCollection 2025.

Abstract

This study explains Chinese public acceptance of autonomous driving (n = 412) through subjective norms, personal norms, and psychological empowerment (cognitive, emotional, behavioral). Using covariance-based SEM with bootstrapped mediation, we find behavioral empowerment has the strongest direct effect on acceptance (≈2 × cognitive; ≈ 3.2 × emotional). All three empowerment dimensions partially mediate both subjective- and personal-norm paths, with behavioral mediation (≈46-50%) dominating. Importance-Performance Analysis highlights behavioral empowerment as high-importance/high-performance, while cognitive empowerment shows headroom for improvement. A Bayesian network confirms predictive validity with low overall error. Findings suggest design and policy should primarily strengthen users' behavioral empowerment (capability, controllability, tangible benefits), while complementing cognitive and emotional pathways. We also discuss China-specific "top-down" cultural mechanisms that amplify subjective norms and outline implications for cross-cultural generalization.

摘要

本研究通过主观规范、个人规范和心理赋能(认知、情感、行为)来解释中国公众对自动驾驶的接受度(n = 412)。使用基于协方差的结构方程模型和自抽样中介分析,我们发现行为赋能对接受度的直接影响最强(约为认知赋能的2倍;约为情感赋能的3.2倍)。所有三个赋能维度都部分中介了主观规范和个人规范路径,其中行为中介(约46%-50%)占主导。重要性-绩效分析突出了行为赋能的高重要性/高性能,而认知赋能则有改进空间。贝叶斯网络证实了其具有低总体误差的预测效度。研究结果表明,设计和政策应主要增强用户的行为赋能(能力、可控性、切实利益),同时补充认知和情感路径。我们还讨论了放大主观规范的中国特有的“自上而下”文化机制,并概述了对跨文化推广的启示。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b649/12425220/630f3257b8fc/pone.0331911.g001.jpg

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