A new multimodal dataset and architecture combining egocentric vision and physiological signals for in-the-wild emotion and personality recognition, presented at NeurIPS 2025 …
A joint framework modeling personality and emotion for personality-consistent conversational agents, using contrastive learning to decouple emotion from semantic content. IVA 2025. …
Systematic study of multimodal emotion recognition in natural human-chatbot interactions, evaluating text, acoustic, and behavioral signal fusion strategies. ICMI 2024.
Dynamic personality infusion for chatbots — modulating expressed Big Five personality traits at inference time to improve user engagement and interaction quality. CUI 2024.
A large-scale empirical characterization of the personality dimensions GPT-3 expresses during human-chatbot interaction, using Big Five psychometrics. Published in ACM IMWUT 2024.
Personality trait recognition from everyday smartphone typing dynamics in naturalistic conditions, using deep learning on keystroke patterns. IEEE Transactions on Affective …
Multimodal affective state prediction from smartphone touch and sensor data in naturalistic conditions, using deep learning fusion. CHI 2022.
