This study aims to ascertain the ways in which intent (BI) and use behavior (UB) are influenced by expectations for performance (PE), expectations of effort (EE), social impact (SI), Conditions that facilitate (FC), hedonic motives (HM), pricing value (PV), and habits (H). The quantitative research method used in this study includes a standardized questionnaire with a Likert scale of five points.

This study uses the “Unified Theory of Acceptance and Use of Technology 2” model as a basis to evaluate how artificial intelligence (AI) applications affect automotive purchasers' purchasing intentions and usage behaviour. Data from vehicle buyers in various areas is analyzed using Modeling Structural Equation (SEM) with AMOS 26 and SPSS 21.

Along with investigating that how artificial intelligence (AI) applications affect the purchasing intentions and usage behaviour of automobile buyers, this study also explores demographic profile , factors influencing the consumers to interact with AI technologies and  find out the most interactive AI application used by car purchasers