Understanding Driving Anxiety and Trust in Automated Vehicles: A Focus Group Study Across Age Groups

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Authors: Chihab Nadri, Hamza Al Matar, Spencer Morrison, Myounghoon Jeon
Cited by: 0
References: 62

Abstract

This study explores generational differences in driving anxiety and trust in highly automated vehicles (HAVs) with level 3 automation to identify anxiety-inducing driving scenarios and inform age-specific empathic interface design. Twenty-one participants (14 young drivers, 7 older drivers) took part in focus groups discussing driving anxiety, trust in automation, and preferences for HAV design. Participants evaluated video clips of challenging driving scenarios and described their expectations for system behavior. Younger drivers frequently cited pedestrians and non-driving road users as sources of anxiety, while older drivers were more concerned with surrounding drivers and environmental conditions. Trust in automation was shaped by system transparency, technological performance, and perceived control. Older adults showed greater reluctance to cede control to HAV. These findings highlight the need for personalized, real-time feedback and trust-building features. Drawing on these findings, we developed design guidelines for age-specific empathic interfaces, which contribute to the design of user-centered HAV systems.

Fields of Study & Subjects

Human-Automation Interaction and Safety Social Robot Interaction and HRI Autonomous Vehicle Technology and Safety

Publication details

Journal / source
International Journal of Human-Computer Interaction
Volume
42
Issue
20
Pages
17422–17438
Publication date
12 February 2026
Language
EN