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On the way to autonomous driving: How age influences the acceptance of driver assistance systems
Affiliation:1. National Advanced Driving Simulator, University of Iowa, United States;2. College of Engineering, University of Iowa, United States;3. AAA Foundation for Traffic Safety, United States;1. Department of Civil Engineering, University of Memphis, Memphis, TN 38152, USA;2. Transport Research Center, Brno, Czech Republic;1. HumanLAB, DGIST (Daegu Gyeongbuk Institute of Science and Technology), 333 Techno-Jungang-Daero, Building R4-708, Dalseong-Gun, Deagu 711-813, South Korea;2. Center for Transportation Studies, 351 McCormick Rd, University of Virginia, PO Box 400742, Charlottesville, VA 22904-4742, USA;1. Institute of Industrial Science, The University of Tokyo, Tokyo, Japan;2. Graduate School of Frontier Sciences, The University of Tokyo, Tokyo, Japan
Abstract:Driver assistance systems have the potential to create the basis for future mobility solutions. They enable older generations in need of assistance to maintain their mobility even in the case of physical deficits. Therefore, we conducted a literature review and identified factors that may influence the acceptance of driver assistance systems. Based on the technology acceptance model and other influencing factors, we developed a research model that was validated with the help of a study (n = 227). The results show that, depending on age, there are differences in the acceptance of driver assistance systems and their influencing factors among old and young people. The five determinants of acceptance, perceived usefulness, perceived ease of use and trust in technology are viewed as equally important for all age groups. Differences emerge within the group of older vehicle drivers with varying weighting. For the 50–59 age group, perceived ease of use and social norm are most important, while for the 60–69 age group, perceived usefulness and trust in technology are very important. Among 70–90-year olds, trust in technology is emphasized as most important. Our results show how important it is to increase the confidence of older drivers in age-appropriate driver assistance systems, using target-group-specific advertising and public relations work.
Keywords:Advanced driver assistant systems  Autonomous driving  Acceptance  Older drivers  Aging societies  Technology acceptance model
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