IMPACT OF ARTIFICIAL INTELLIGENCE-ENABLED SAFETY SYSTEMS ON CUSTOMER TRUST AND PURCHASE INTENTIONS IN PASSENGER VEHICLES IN PUNE

Authors

  • Mr. Rahul Mali Author
  • Dr. Santosh Shinde Author

Keywords:

Artificial Intelligence, Safety Systems, Customer Trust, Purchase Intention, Passenger Vehicles, ADAS,,

Abstract

 Artificial Intelligence-enabled safety systems such as collision avoidance, lane
keeping assistance, adaptive cruise control, and automatic emergency braking are transforming 
modern passenger vehicles. This study examines how these AI-based safety features influence 
customer trust and their intention to purchase vehicles. A structured questionnaire was 
administered to 350 respondents in urban areas. Statistical tools such as correlation and 
regression analysis were used to test the hypotheses. The findings show that AI-enabled safety 
systems significantly increase customer trust, which in turn positively influences purchase 
intention. The study concludes that safety-driven AI innovations play a crucial role in shaping 
modern vehicle buying decisions.

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Published

2025-12-09

Issue

Vol. 3 No. 4 (2025): October-December

Section

Articles

How to Cite

IMPACT OF ARTIFICIAL INTELLIGENCE-ENABLED SAFETY SYSTEMS ON CUSTOMER TRUST AND PURCHASE INTENTIONS IN PASSENGER VEHICLES IN PUNE . (2025). Phoenix: International Multidisciplinary Research Journal ( Peer Reviewed High Impact Journal ), 3(4), 251-258. https://pimrj.org/index.php/pimrj/article/view/245