TY - GEN
T1 - Research on the Age-Friendly Adaptive Interaction Design for Autonomous Vehicles Aimed at Situational Awareness and Control Perception
AU - Wei, Dapeng
AU - Ji, Yue
AU - Zhang, Chi
AU - Li, Ruojuan
AU - Wang, Ruiqi
AU - Gong, Xiaodong
N1 - Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.
PY - 2025
Y1 - 2025
N2 - With the rapid development of autonomous driving technology, ensuring that elderly drivers and passengers can adapt to and effectively use these systems has become a pressing issue. This paper explores the impact of the “understanding gap,” “technology gap,” and visual fatigue on the situational awareness and control perception of elderly drivers and passengers in an autonomous driving environment. Through experimental design, participants were induced into different fatigue states to assess their perception of vehicle speed and the differences in situational awareness and control perception under various adaptive information presentation modes (such as text, images, and text-image fusion). The results indicate that fatigue significantly affects the situational awareness and control perception of elderly drivers and passengers, and adaptive designs can mitigate this impact. Specifically, in high-fatigue states, designs based on dynamic feedback and hierarchical information display significantly improve the elderly's response speed and accuracy to environmental changes. This paper provides theoretical support for the design of autonomous driving systems and emphasizes the unique needs of the elderly population in autonomous driving scenarios.
AB - With the rapid development of autonomous driving technology, ensuring that elderly drivers and passengers can adapt to and effectively use these systems has become a pressing issue. This paper explores the impact of the “understanding gap,” “technology gap,” and visual fatigue on the situational awareness and control perception of elderly drivers and passengers in an autonomous driving environment. Through experimental design, participants were induced into different fatigue states to assess their perception of vehicle speed and the differences in situational awareness and control perception under various adaptive information presentation modes (such as text, images, and text-image fusion). The results indicate that fatigue significantly affects the situational awareness and control perception of elderly drivers and passengers, and adaptive designs can mitigate this impact. Specifically, in high-fatigue states, designs based on dynamic feedback and hierarchical information display significantly improve the elderly's response speed and accuracy to environmental changes. This paper provides theoretical support for the design of autonomous driving systems and emphasizes the unique needs of the elderly population in autonomous driving scenarios.
KW - Adaptive Interaction Design
KW - Age-friendly Design
KW - Control Perception
KW - Situational Awareness
UR - https://www.scopus.com/pages/publications/105007518430
U2 - 10.1007/978-3-031-92712-6_7
DO - 10.1007/978-3-031-92712-6_7
M3 - Conference contribution
AN - SCOPUS:105007518430
SN - 9783031927140
T3 - Lecture Notes in Computer Science
SP - 100
EP - 119
BT - Human Aspects of IT for the Aged Population - 11th International Conference, ITAP 2025, Held as Part of the 27th HCI International Conference, HCII 2025, Proceedings
A2 - Gao, Qin
A2 - Zhou, Jia
PB - Springer Science and Business Media Deutschland GmbH
T2 - 11th International Conference on Human Aspects of IT for the Aged Population, ITAP 2025, held as part of the 27th HCI International Conference on Human-Computer Interaction, HCII 2025
Y2 - 22 June 2025 through 27 June 2025
ER -