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The use of Advanced Driver Assistance Systems (ADAS) to enhance the safety of vehicle occupants and other road users has recently increased. Most vehicle users are not very familiar with the system. Therefore, the identification of factors affecting the user acceptance of ADAS technologies is important from a road safety perspective as well as for vehicle manufacturers. The systematic review focuses on the user acceptance factors identified by several studies conducted worldwide, along with their methods and models. The PRISMA flow strategy is employed for research identification, screening, eligibility checks, and inclusion in the review. The respective studies are identified through a database search and bibliographic check. After filtering the existing studies using a Systematic Classification Scheme (SCS), only thirteen studies are included. Through the screening of the available studies, fifteen user acceptance factors for ADAS technology are identified. Most of these studies have used existing technology acceptance models and behavioral models to identify user acceptance of ADAS technologies. Surprisingly, some significant factors were identified outside the existing models. Hence, the importance of developing a specific user acceptance model for ADAS technology is highlighted in this study. Since there are numerous ADAS technologies available in modern vehicles, the factors identified in this review will be helpful for future researchers to focus on the influence of each factor on the available ADAS features. Furthermore, vehicle manufacturers can also take these factors into account in their future vehicle designs to enhance user awareness and the acceptance of ADAS technologies in their vehicles.
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Damsara et al. (2025) studied this question.
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