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