Call For Papers

The topics of interest for submission include, but are not limited to:

📚︎ Affective Perception and Multimodal Interaction

  • Facial expression recognition and micro‑expression analysis

  • Speech emotion recognition and prosodic modeling

  • Physiological signal‑based emotion decoding (EEG, ECG, EDA, etc.)

  • Multimodal affective information fusion and alignment

  • Context‑aware affective understanding

  • Affective tracking and prediction in dynamic scenes

  • Cross‑cultural emotional expression and recognition

  • Construction and annotation of affective datasets

📚︎ Affective Cognition and Theory‑of‑Mind Modeling

  • Interactive mechanisms between emotion and cognition

  • Empathy computing and theory of mind

  • Affective memory and personalized modeling

  • Social emotions and group emotional evolution

  • Commonsense‑driven emotional reasoning

  • Modeling the interplay between emotion and decision‑making

  • Long‑term affective dynamics and emotional state transitions

  • Brain‑inspired affective processing mechanisms

📚︎ Affective Generation and Human‑Machine Empathy

  • Empathetic dialogue systems and affective interaction

  • Text‑based affective generation and style control

  • Speech emotion synthesis and expressive rendering

  • Facial expression generation and virtual human interaction

  • Affective story generation and creative writing

  • Emotional coherence in multi‑turn interactions

  • Personality modeling and adaptive affective feedback

  • Mechanisms for building human‑machine emotional trust

📚︎ Cross‑Disciplinary Applications and Governance of Affective Computing

  • Affective diagnosis and intervention in smart healthcare

  • Affective cognition and personalized learning in intelligent education

  • Emotion monitoring in smart cockpits and driving scenarios

  • Mental health assessment and intelligent companionship

  • Affective adaptability in human‑robot collaboration

  • Fairness and bias mitigation in affective computing

  • Privacy protection and ethical governance of affective data

  • Explainability and trustworthy evaluation of affective AI