Xie Yubin, Zhou Ronggang, Chan Alan Hoi Shou, Jin Mingyu, Qu Miao
School of Economics and Management, Beihang University, Beijing, China.
Department of Advanced Design and Systems Engineering, City University of Hong Kong, Hong Kong, China.
Front Psychol. 2023 Feb 8;14:1078438. doi: 10.3389/fpsyg.2023.1078438. eCollection 2023.
This research investigated the effects of three psychological needs (competence, autonomy, and relatedness) of self-determination theory (SDT) and automation trust on the intention of users to employ new interaction technology brought by autonomous vehicles (AVs), especially interaction mode and virtual image.
This study focuses on the discussion from the perspective of psychological motivation theory applied to AV interaction technology. With the use of a structured questionnaire, participants completed self-report measures related to these two interaction technologies; a total of 155 drivers' responses were analyzed.
The results indicated that users' intentions were directly predicted by their perceived competence, autonomy, and relatedness of SDT and automation trust, which jointly explained at least 66% of the variance in behavioral intention. In addition to these results, the contribution of predictive components to behavioral intention is influenced by the type of interaction technology. Relatedness and competence significantly impacted the behavioral intention to use the interaction mode but not the virtual image.
These findings are essential in that they support the necessity of distinguishing between types of AV interaction technology when predicting users' intentions to use.
本研究探讨了自我决定理论（SDT）中的三种心理需求（能力、自主性和关联性）以及自动化信任对用户采用自动驾驶汽车（AV）带来的新交互技术，特别是交互模式和虚拟形象的意愿的影响。
本研究着重从应用于AV交互技术的心理动机理论角度进行探讨。通过使用结构化问卷，参与者完成了与这两种交互技术相关的自我报告测量；共分析了155名驾驶员的回答。
结果表明，用户的意愿直接由他们对SDT的感知能力、自主性和关联性以及自动化信任所预测，这些因素共同解释了行为意愿中至少66%的方差。除了这些结果外，预测成分对行为意愿的贡献受交互技术类型的影响。关联性和能力对使用交互模式的行为意愿有显著影响，但对虚拟形象没有影响。
这些发现至关重要，因为它们支持了在预测用户使用意愿时区分AV交互技术类型的必要性。
