AI user experience in personal vehicles - experiences, perceptions and ideas
Piash, Mehedi; Tayyab, Fasih (2025)
2025
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Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:amk-2025051512049
https://urn.fi/URN:NBN:fi:amk-2025051512049
Tiivistelmä
This study investigates the current application of artificial intelligence (AI) in the automotive industry and how the end-users perceive its influence on their driving experience. The use of AI in self-driving cars, adaptive cruise control, smart voice assistants, and predictive maintenance has become a rapidly advancing AI technology alongside the metamorphosis of mobility. The purpose of this research was to capture the cur- rent implementations and future expectations along with user concerns regarding AI in personal vehicles.
A total of 142 active car users participated in the quantitative survey to answer structured questions de- signed to reflect their experiences and perceptions to a broader level. The study was conducted across Fin- land and other parts of Europe in early 2025 when the region was at the forefront of adoption of automotive technologies. Descriptive statistical methods were employed to analyze the data to uncover emerging trends in the use, satisfaction, trust, and satisfaction regarding AI features of the vehicles.
The findings reveal that the reliance of respondents AI-powered systems that increase convenience, safety, and personalized services slated a burden of suspicions regarding warranty, data security, and full automation preparedness of the systems remained. The research also demonstrates the noticeable gap between advancements in technology and trust from users, exacerbated by the rapid pace of innovation and limited access to tangible experiences driving autonomous systems.
The research results enhance current academic knowledge base through European user-centered analysis which supplements research focused on technologies and industries. The study provides manufacturers of vehicles with practical guidelines that focus on integrating ethical AI properly and teaching users effectively and designing inclusively together with maintaining clear data disclosure standards. The research generates significant knowledge, but its results become less relevant because they appear in a specific time period and geographic area and amid continuous developments in AI technology. Future research needs extensive longitudinal investigations along with cross-cultural assessments in order to improve understanding about AI effects on automotive interactions.
A total of 142 active car users participated in the quantitative survey to answer structured questions de- signed to reflect their experiences and perceptions to a broader level. The study was conducted across Fin- land and other parts of Europe in early 2025 when the region was at the forefront of adoption of automotive technologies. Descriptive statistical methods were employed to analyze the data to uncover emerging trends in the use, satisfaction, trust, and satisfaction regarding AI features of the vehicles.
The findings reveal that the reliance of respondents AI-powered systems that increase convenience, safety, and personalized services slated a burden of suspicions regarding warranty, data security, and full automation preparedness of the systems remained. The research also demonstrates the noticeable gap between advancements in technology and trust from users, exacerbated by the rapid pace of innovation and limited access to tangible experiences driving autonomous systems.
The research results enhance current academic knowledge base through European user-centered analysis which supplements research focused on technologies and industries. The study provides manufacturers of vehicles with practical guidelines that focus on integrating ethical AI properly and teaching users effectively and designing inclusively together with maintaining clear data disclosure standards. The research generates significant knowledge, but its results become less relevant because they appear in a specific time period and geographic area and amid continuous developments in AI technology. Future research needs extensive longitudinal investigations along with cross-cultural assessments in order to improve understanding about AI effects on automotive interactions.