4th Workshop on Affective Computing and Context Awareness in Ambient Intelligence (AfCAI)

Chairs

Grzegorz J. Nalepa, Jagiellonian University in Kraków.

José Manuel Ferrández, Universidad Politécnica de Cartagena.

José Palma, Universidad de Murcia.

Vicente Julián Inglada, Universitat Politècnica de València.

Krzysztof Kutt, Jagiellonian University in Kraków.

Workshop webpage: https://afcai.eu/pub:afcai2022workshop

Abstract

Affective computing (AfC) is a multidisciplinary research approach regarding practical modeling and use of information about human emotions in computer systems. Originally proposed over 20 years ago, it became a field where researchers and practitioners from computer science and artificial intelligence (AI) meet with psychologists, neuroscientists,biomedical engineers, and researchers from humanities.

The objective of the workshop is to bring together people interested in research on affective computing, ambient intelligence, and context aware systems. We assume a goal-oriented yet multidisciplinary research approach, including computer science, artificial intelligence, biomedical engineering, and experimental sciences. We consider both fundamental and applied research with participation of companies where possible. Furthermore, we focus at having working sessions dedicated to identifying opportunities for cooperation and joint project applications.

The list of the topics include, but is not limited to:

  • Affective Computing (AfC)
  • Affective computer games
  • Affective social networks
  • Affect-based adaptation and personalization in intelligent systems
  • Applications of AfC in Ambient intelligence, mobiles and wearables (AmI)
  • Context aware systems: affect as context (CaS), affective data and social signals from wearable sensors
  • Knowledge Representation for AfC, including semantic methids and ontology engineering
  • Data mining and knowledge discovery methods for AfC and AmL
  • Opinion Mining and Natural Language Processing for AfC
  • Semantic computing and AfC
  • Emotive user interfaces
  • Gamification of AfC experiments
  • Mixed (virtual/augmented) reality environments for affect generation and acquisition
  • Models of emotion: computational, psychological, and philosophical
  • Cognitive assistants, affect- and context-aware conversational systems
  • Smart cities applications of AfC
  • Computational social sensing, AfC in social robotics, social cognitive assistants
  • Behavioural analysis and conflict resolution
  • Ground truth determination of emotion, mood and social signals