The use of Advanced Driver Assistance Systems (ADAS) to enhance the safety of vehicle occupants and other road users has increased recently. However, 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 point of view as well as the vehicle manufacturers. The present systematic review focuses on the user acceptance factors identified by several studies along with the methods used. The PRISMA flow strategy is used for the present review. Thirteen studies are selected after filtering the existing studies through a Systematic Classification Scheme (SCS) and thirteen user acceptance factors for ADAS technology are identified. Conventional technology acceptance models and/or behavioral models are commonly used to identify user acceptance of ADAS technologies. Some of the significant factors were included in existing models. Hence the importance of developing a specific user acceptance model for ADAS technology is highlighted in the study. The factors identified will be helpful for future researchers to focus on the influence of each factor on various available ADAS features. Vehicle manufacturers can also consider these factors for their future vehicle designs to enhance user awareness and acceptance.