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Prof. Stephen Wang’s Team Presents Emotion-Aware Automotive and Multimodal AI Research at CHI 2025 in Yokohama

30 Apr 2025


We are pleased to announce that Prof. Stephen Jia Wang led PhD students Xintong Chen and Le Fang to Yokohama, Japan, on 29th April 2025, where they presented two innovative studies at the ACM CHI 2025 Conference on Human Factors in Computing Systems.

The first paper, authored by CHEN Xintong and titled “Emotion-aware Design in Automobiles: Embracing Technology Advancements to Enhance Human-vehicle Interaction”, investigates how emotion-aware systems can be integrated into automotive user experience design. Through interviews with 31 industrial design practitioners, along with engineers and AI experts, the study examines current practices, challenges, and expectations around designing emotion-aware in-vehicle interfaces. The findings offer valuable insights for designing human-centered emotion-aware systems and suggest adaptations for future automotive design innovation.

The second contribution, a late-breaking work by FANG Le entitled “KANFeel: A Novel Kolmogorov-Arnold Network-Based Multimodal Emotion Recognition Framework”, introduces a novel approach to multimodal emotion recognition (MER). By leveraging Kolmogorov-Arnold Networks (KANs), the proposed KANFeel framework improves both efficiency and accuracy in emotion recognition. The model was evaluated across three public datasets, showing notable improvements in training speed and recognition performance compared to existing methods.
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These presentations reflect the group’s ongoing leadership in human-centered AI, emotion-aware systems, and intelligent mobility research under the Research Centre for Future Caring Mobility. 


Press Contacts

Research Centre for Future (Caring) Mobility

PolyU School of Design


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