Acceptance of advanced driver assistance systems among older drivers: Insights from cross-age group analysis

Abstract

Introduction

Advanced Driver Assistance Systems (ADAS) have the potential to enhance driving safety; however, age-related differences significantly affect technology acceptance.

Method

Based on the Technology Acceptance Model (TAM), this study developed a senior driver acceptance model and explored the key factors influencing ADAS acceptance. Partial Least Squares Structural Equation Modeling (PLS-SEM) was employed to test the proposed hypotheses using survey data collected from 358 drivers across different age groups. Additionally, Fuzzy-set Qualitative Comparative Analysis (FsQCA) was conducted to identify potential configurations influencing behavioral intention toward ADAS, with a particular focus on core conditions that vary by age group.

Results

Survey results revealed that a higher proportion of young and middle-aged drivers were familiar with and had used ADAS compared to older drivers, indicating a stronger willingness among the former to accept and adopt such technologies. The analysis showed that Perceived Usefulness and Social Influence were key factors influencing ADAS acceptance among older drivers. In contrast, Perceived Security and Social Influence played a central role in shaping behavioral intention among younger and middle-aged drivers, while the intention of older drivers was more strongly influenced by Facilitating Conditions, Perceived Ease of Use, Social Influence, and Technological Trust.

Conclusion

These findings provide empirical insights into optimizing ADAS design and implementation to enhance acceptance among older drivers, ultimately contributing to safer driving behaviors.