Modeling determinants of autonomous electric vehicles’ acceptance through artificial intelligence and personality dimensions

Studies have overlooked the influence of artificial intelligence (AI)-based perception capability (computer vision) and Big Five personality-based factors on autonomous electric vehicles acceptance. To fill this literature gap, we supplemented some novel dimensions, such as computer vision, trust, and the Big Five personality characteristics. A survey sent to 658 Chinese drivers in ten big cities is used to verify the validity of the proposed framework. Structural equation modeling is used to test the formulated hypotheses. Study results reveal that perceived ease of use and perceived usefulness had a substantial impact on consumers’ purchase intention of autonomous electric vehicles. However, computer vision and trust are the best predictors along with certain personality traits. Neurotic individuals were less inclined to acknowledge autonomous electric vehicles and exhibited reduced trust. These findings indicate that marketing AI-based dimensions, such as computer vision might contribute to the formation of positive societal views about the acceptance of autonomous electric vehicles.