Publication | Closed Access
Advanced Driver Assistance Systems for Aging Drivers
27
Citations
24
References
2019
Year
Unknown Venue
Favorable Acceptance AspectsEngineeringAgingOlder DriversSafety ScienceAdvanced Driver-assistance SystemPsychologyDriver BehaviorSystems EngineeringPublic HealthBehavioral SciencesMachine VisionAssistive TechnologyGeriatricsDriving TaskUser ExperienceApplied Social PsychologyAutonomous DrivingDriver PerformanceAutomation
Advanced Driver Assistance Systems (ADAS) aim to increase safety by supporting drivers in the driving task. Especially older drivers (65+ years), given the nature of aging, could benefit from these systems. However, little is known about older drivers' acceptance of ADAS in general and how particular acceptance aspects influence their intention to use such systems. To address this research gap, we present results from a large-scale online survey (n=1328) with aging drivers, which was conducted in three European countries in 2019. We identified several demographic and driving-related variables, which are significantly related to acceptance. Furthermore, we found that older drivers' intention to use ADAS is most strongly predicted by favorable acceptance aspects (i.e., usefulness, reassurance, and trust), while unfavorable aspects (i.e., annoyance, irritation, and stress) were found to have less to none predictive power. The findings are discussed considering future research directions in this area.
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