TY - GEN
T1 - Emotion-aware Design in Automobiles
T2 - 2025 CHI Conference on Human Factors in Computing Systems, CHI 2025
AU - Chen, Xingtong
AU - Wang, Xia
AU - Fang, Cong
AU - Fang, Le
AU - Gong, Wei
AU - Liu, Chengzhong
AU - Wang, Stephen Jia
N1 - Publisher Copyright:
© 2025 Copyright held by the owner/author(s).
PY - 2025/4/26
Y1 - 2025/4/26
N2 - The integration of emotion-aware systems in vehicles is accelerated by new technologies, including advancements in AI and ubiquitous sensing technologies. As the automotive industry shifts from technology-centred, feature-driven approaches to human-centred design, this research focuses on how to effectively incorporate emotion features into user-centred design to enhance effective human-vehicle interaction in practices. By conducting an interview study with 31 industrial design practitioners, supplemented by insights from engineers and AI experts involved in the early-stage design and development of novel in-vehicle user interfaces and systems, we examined current practices, and sampled their challenges, attitudes and expectations related to emotion-aware systems. Our findings provide critical insights to the design space of emotion-aware systems from both user and AI perspectives, inform efforts to support design practices in this evolving area, and identify opportunities for future innovation in emotion-aware in-vehicle design. Based on our findings, we propose adaptations to design practices and recommendations for further research.
AB - The integration of emotion-aware systems in vehicles is accelerated by new technologies, including advancements in AI and ubiquitous sensing technologies. As the automotive industry shifts from technology-centred, feature-driven approaches to human-centred design, this research focuses on how to effectively incorporate emotion features into user-centred design to enhance effective human-vehicle interaction in practices. By conducting an interview study with 31 industrial design practitioners, supplemented by insights from engineers and AI experts involved in the early-stage design and development of novel in-vehicle user interfaces and systems, we examined current practices, and sampled their challenges, attitudes and expectations related to emotion-aware systems. Our findings provide critical insights to the design space of emotion-aware systems from both user and AI perspectives, inform efforts to support design practices in this evolving area, and identify opportunities for future innovation in emotion-aware in-vehicle design. Based on our findings, we propose adaptations to design practices and recommendations for further research.
KW - Emotion
KW - Human-centred Design
KW - Human-vehicle Interaction
UR - https://www.scopus.com/pages/publications/105005742472
U2 - 10.1145/3706598.3713571
DO - 10.1145/3706598.3713571
M3 - Conference article published in proceeding or book
AN - SCOPUS:105005742472
T3 - Conference on Human Factors in Computing Systems - Proceedings
BT - CHI 2025 - Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems
PB - Association for Computing Machinery
Y2 - 26 April 2025 through 1 May 2025
ER -
