A modification of technology acceptance model for investigating driver-vehicle interaction systems usage

Area of Science:

• Human-Computer Interaction
• Automotive Engineering
• Psychology

Background:

• Driver acceptance of new vehicle technologies is crucial for adoption.
• Existing technology acceptance models may not fully capture user experience factors.
• Understanding user perceptions of driver-vehicle interaction systems is essential for design.

Purpose of the Study:

• To investigate driver acceptance of driver-vehicle interaction systems.
• To modify the technology acceptance model with user experience concepts.
• To analyze the influence of driver demographics on system acceptance.

Main Methods:

• A questionnaire survey with 15 variables using a Likert scale was administered to 495 drivers.
• The modified technology acceptance model included constructs like perceived usefulness, enjoyment, and user interface.
• Confirmatory factor analysis, path analysis, and linear regression were used for data analysis.

Main Results:

• Male drivers reported higher perceived usefulness and more positive attitudes but lower perceived enjoyment.
• Older drivers exhibited more negative attitudes and a dislike for the user interface.
• The modified model demonstrated reliability and validity in assessing driver opinions.

Conclusions:

• Demographic factors like gender and age significantly impact driver acceptance of vehicle technology.
• Insights gained can guide the design of human-machine interfaces for improved user experience.
• The modified technology acceptance model is feasible for studying driver opinions on interactive systems.