Trust and intention to use autonomous vehicles: Manufacturer focus and passenger control |
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| Affiliation: | 1. Behavioral Sciences, University of Michigan – Dearborn, United States;2. Electrical and Computer Engineering, University of Michigan – Dearborn, United States;1. College of Management and Economics, Tianjin University, Tianjin 300072, PR China;2. School of Information Engineering, Chang’an University, Xi’an, Shaanxi 710064, PR China;1. Institute of Human Factors and Ergonomics, College of Mechatronics and Control Engineering, Shenzhen University, Shenzhen, China;2. School of Aeronautics, Northwestern Polytechnical University, Xi’an, China;3. School of Management Science and Engineering, Dongbei University of Finance and Economics, Dalian, China;1. Institute of Human Factors and Ergonomics, College of Mechatronics and Control Engineering, Shenzhen University, Shenzhen, China;2. State Key Laboratory of Automotive Safety and Energy, Department of Industrial Engineering, Tsinghua University, Beijing, China;1. Department of Management and Humanities, Universiti Teknologi PETRONAS, Bandar Seri Iskandar, Perak, Malaysia;2. Economics Department, Indiana University Bloomington, United States;3. Department of HRM, Faculty of Economics and Administration, King Abdulaziz University, P.O Box 80201, Jeddah 21589, Saudi Arabia |
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| Abstract: | Autonomous Vehicle (AV) research has focused on public acceptance of and intention to use AVs, with trust emerging as important to these variables. Research on AV trust has centered on trust in vehicle performance. However, trust evaluation may include AV manufacturers and developers, and regulation pertaining to AVs; thus, we expand our measurement of trust to include beliefs based on manufacturers and regulation. In this experiment, we manipulate information regarding manufacturer focus (i.e., an emphasis on standards, regulations, and research (SRR) versus speed to market) to determine its effect on trust. When information focused on SRR, we found higher levels of trust in AV performance and in manufacturers, compared to when it focused on speed to market. In addition, information regarding passenger control (i.e., the ability to take over for the vehicle and to determine privacy settings) was manipulated to yield either high or low passenger control conditions. Behavioral Intention (BI) to use AVs was lowest when speed to market was emphasized and when passenger control was low. Furthermore, trust was tested as a mediator between perceived risk and BI. Trust in AV performance partially mediated the relationship between perceived AV performance risk and BI. In addition, trust in AV regulation partially mediated the relationship between AV privacy/security risk and BI. Researchers should continue to examine trust beyond the AV itself to encompass trust in manufacturers and regulations. Those designing and marketing AVs should carefully consider decisions that influence manufacturer/developer reputation and passenger control due to their effect on intention to use AVs. |
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| Keywords: | Autonomous vehicles Trust Perceived risk Mental models Passenger control |
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