TY - GEN
T1 - Multimodal In-Vehicle Interaction Design to Support Situation Awareness and Reduce Motion Sickness in Autonomous Driving
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
AU - Wu, Yifan
AU - Li, Qingchuan
AU - Chen, Xin
N1 - Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.
PY - 2025
Y1 - 2025
N2 - Autonomous vehicles (AVs) are transforming transportation, shifting drivers into passive passengers. However, this shift raises challenges, including degraded situational awareness (SA) and increased motion sickness (MS). This review analyzes 50 relevant studies to explore existing strategies that utilize multimodal interactions to mitigate MS and enhance SA, while also examining the reciprocal relationship between MS and SA. The findings reveal that MS negatively impacts SA by increasing cognitive load and physiological discomfort, whereas strategies designed to enhance SA can indirectly alleviate MS by reducing sensory conflicts. Visual modalities and multimodal designs incorporating visual elements are the most widely adopted among these strategies. Integrating virtual reality (VR) in such designs also demonstrates a growing trend. Furthermore, the review evaluates the effectiveness of these strategies and identifies limitations, such as the lack of realism in experimental settings and insufficient attention to diverse user needs. This review integrates methods for mitigating MS and enhancing SA, providing a theoretical foundation and practical guidance for optimizing future human-vehicle interactions, and offering recommendations for designing safer and more comfortable autonomous driving experiences.
AB - Autonomous vehicles (AVs) are transforming transportation, shifting drivers into passive passengers. However, this shift raises challenges, including degraded situational awareness (SA) and increased motion sickness (MS). This review analyzes 50 relevant studies to explore existing strategies that utilize multimodal interactions to mitigate MS and enhance SA, while also examining the reciprocal relationship between MS and SA. The findings reveal that MS negatively impacts SA by increasing cognitive load and physiological discomfort, whereas strategies designed to enhance SA can indirectly alleviate MS by reducing sensory conflicts. Visual modalities and multimodal designs incorporating visual elements are the most widely adopted among these strategies. Integrating virtual reality (VR) in such designs also demonstrates a growing trend. Furthermore, the review evaluates the effectiveness of these strategies and identifies limitations, such as the lack of realism in experimental settings and insufficient attention to diverse user needs. This review integrates methods for mitigating MS and enhancing SA, providing a theoretical foundation and practical guidance for optimizing future human-vehicle interactions, and offering recommendations for designing safer and more comfortable autonomous driving experiences.
KW - Autonomous driving
KW - Human-vehicle interaction
KW - Motion Sickness (MS)
KW - Multimodal interaction
KW - Situational awareness (SA)
KW - Systematic review
UR - https://www.scopus.com/pages/publications/105007521896
U2 - 10.1007/978-3-031-92712-6_8
DO - 10.1007/978-3-031-92712-6_8
M3 - 会议稿件
AN - SCOPUS:105007521896
SN - 9783031927140
T3 - Lecture Notes in Computer Science
SP - 120
EP - 138
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
Y2 - 22 June 2025 through 27 June 2025
ER -