Public acceptance of driver state monitoring for automated vehicles: Applying the UTAUT framework |
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| Institution: | 1. School of Information Engineering, Chang’an University, Xi’an, Shaanxi 710064, PR China;2. College of Management and Economics, Tianjin University, Tianjin 300072, PR China;1. Department of Interaction Science, Sungkyunkwan University, South Korea;2. Department of ICT Industry Research, Korea Information Society Development Institute, South Korea;1. School of Psychology, the University of Queensland, St Lucia Campus, Brisbane, 4072, Australia;2. University of Michigan Transportation Research Institute, University of Michigan, 2901 Baxter Road, Ann Arbor, MI, 48109, USA;3. Queensland University of Technology (QUT), Centre for Accident Research and Road Safety – Queensland (CARRS-Q), Victoria Park Road, Kelvin Grove, Queensland, 4059, Australia;1. Queensland University of Technology (QUT), Centre for Accident Research and Road Safety – Queensland (CARRS-Q), 130 Victoria Park Road, Kelvin Grove 4059, Australia;2. Safety and Security Science Section, Faculty of Technology, Policy and Management, Delft University of Technology, 2628BX Delft, Netherlands |
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| Abstract: | Driver state monitoring (DSM) systems aim to measure driver/occupant state, considering factors such as fatigue, workload, attentiveness, and wellbeing. They are influential for some vehicles on the road today, but as we move towards higher levels of automation their use is expected to become even more important. Uncertainty around public perception of these systems is a potentially limiting factor, with potential concerns for privacy, data storage, perceived utility, and reliability amongst other things posing potential threats. A survey was conducted based on the Universal Theory of Acceptance and Use of Technology (UTAUT) framework, which collected 311 individual responses to explore the acceptability of this technology in specific relation to conditionally and partially automated vehicles. This paper identified that the factors of effort expectancy, performance expectancy, social influence, and attitudes towards using new technology are all positively related to overall behavioural intention, whereas anxiety is negatively related. Other demographic influences are discussed, and recommendations made for future research and marketing/implementation of DSM systems to ensure acceptance by future users. |
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| Keywords: | Human factors Driver state monitoring UTAUT Acceptance Automated vehicles |
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