Motivation to interaction media: The impact of automation trust and self-determination theory on intention to use the new interaction technology in autonomous vehicles

Yubin Xie; Ronggang Zhou; Alan Hoi Shou Chan; Mingyu Jin; Miao Qu

doi:10.3389/fpsyg.2023.1078438

Motivation to interaction media: The impact of automation trust and self-determination theory on intention to use the new interaction technology in autonomous vehicles

Front Psychol. 2023 Feb 8:14:1078438. doi: 10.3389/fpsyg.2023.1078438. eCollection 2023.

Authors

Yubin Xie^{1

2}, Ronggang Zhou^{1

3}, Alan Hoi Shou Chan², Mingyu Jin¹, Miao Qu¹

Affiliations

¹ School of Economics and Management, Beihang University, Beijing, China.
² Department of Advanced Design and Systems Engineering, City University of Hong Kong, Hong Kong, China.
³ Key Laboratory of Complex System Analysis, Management and Decision (Beihang University), Ministry of Education of the People's Republic of China, Beijing, China.

Abstract

Introduction: 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.

Method: 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.

Result: 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.

Discussion: These findings are essential in that they support the necessity of distinguishing between types of AV interaction technology when predicting users' intentions to use.

Keywords: automation trust; autonomous vehicles; interaction technology; motivation; self-determination theory.