Sample Content (subject to changes)

• AI models for  predicting and adapting to
  • Cognitive Measures (cognitive load, attention, knowledge)
  • User Affect
  • Meta-Cognition
  • Long-term Traits (e.g., personality, attitudes)
• AI-driven support to 
  • Info Acquisition/Decision Making
  (e.g. support  for search/browsing, recommender systems, adapting info presentation)
  • Human Learning
  (Intelligent Tutoring Systems)
  • Behaviour Change
  • System Use (taking over routine tasks, provision of help, adapting the interface)
• Trust, Transparency and Explanation
• Evaluation
• AI Agents as Social Companions