Unveiling stress triggers for older drivers: Scenario development through FGI-based text mining

Abstract

Older drivers are prematurely ceasing driving due to stress experienced while on the road. This study aims to explore the traffic situations that induce stress among older drivers. We collected unstructured data on stressful driving situations through Focus Group Interviews (FGI) with 8 interviewees, particularly older drivers with cardiovascular and cerebrovascular conditions. These situations were then analyzed using text mining techniques to develop detailed scenarios that reflect the real-world experiences of older drivers. The results identified five stress-inducing scenarios on highways. Our scenarios can be utilized as testing scenarios for the development of policies and technologies aimed at preventing driving cessation due to self-regulation and reducing road hazards among older drivers. Ultimately, this can enhance not only road safety and improve the well-being of older adults.