A Review of Technology Acceptance Model Application in User Acceptance of Autonomous Vehicles

Touting the merits of reducing traffic fatalities by eliminating human errors and promoting social benefits, autonomous vehicle technology has been rapidly developed over the last few decades. Using the systematic review approach, this study provides an overview of current studies that apply the Technology Acceptance Model (TAM) in shaping user acceptance of autonomous vehicles. Based on a set of inclusion and exclusion criteria, a total of 16 articles out of 792,364 articles were retained for further analysis. The factors that mostly gained the attention of the researchers are the technical and psychological factors, where the most frequent constructs integrated into these studies are perceived ease of use, followed by perceived usefulness, trust, attitude, perceived enjoyment, and perceived innovativeness. The results shed essential insight into future research by addressing research limitations and the role of other antecedents in influencing user acceptance of autonomous vehicles. A deeper insight into public acceptance is crucial for facilitating the swift and secure integration of autonomous vehicles (AVs) onto our roadways shortly. This understanding can pave the way for realizing essential benefits, including enhanced traffic safety and the advancement of sustainability in both societal and economic realms. By addressing the concerns and preferences of the public, we can foster a supportive environment that embraces this transformative technology, ultimately leading to safer streets and a greener, more efficient future.