Intelligent interaction
Introduction
Intelligent Interaction is a multidisciplinary topic in which computer science meets social science to investigate, design and evaluate novel forms of multimodal human-computer interaction.
Research in Intelligent Interaction concerns the perception-action cycle of understanding human behaviours and generating system responses, supporting an ongoing dialogue with the user. Understanding the user –by automated evaluation of speech, pose, gestures, touch, facial expressions, social behaviours, interactions with other humans, bio-physical signals and all content humans create– should inform the generation of intuitive and satisfying system responses. By understanding how and why people use interactive media, interactive systems can be made more socially capable, safe, acceptable and fun. Evaluation of the resulting systems generally focuses on the perception that the user has of them and the experience that they engender. These issues are investigated through the design, implementation, and analysis of systems across different application areas and across a variety of contexts.
Example application areas include social robots; tangible and tactile interaction; conversations with intelligent (virtual) agents; mobile coaches and multimodal training games, brain-computer interfaces and more.
Available topics
Conversational agents
Computational creativity
Natural language generation
Sentiment analysis
Human-robot interaction
Recommender systems for people with Alzheimer's
Machine learning for eating event detection
Code generation platform for Arduino
Tracking child's play
Social touch in virtual reality context
Comparative text identification from user generated content
Emotion communication online
Emotion observation at playgrounds
MiniSoccerbal 2.0
Simulation for tele-operated systems
Information
For further information on the content of this track, you may contact the track chair: Mariët Theune