Intelligent interaction
Introduction
Here is a short video introduction of the track.
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
Natural Language Processing and Generation:
Investigating "concept drift" (words change in meaning over time)
Analysing moral values in text
Automatically generating football reports or persuasive texts
Automatically generating reports of sports interaction data
Conversational Agents and Dialogue Systems:
Personalized conversational agents
Incremental dialogue processing
Conversational data transparency
Turn generation in dialogue
Information extraction from dialogue
Social interaction with humans and/or robots:
Haptics sensors on a humanoid robot's upper body for social touch experience
Social interaction in virtual reality
Interactive dining table: support healthy eating through artificial intelligence:
Recognition of eating behaviours based on sensor data
Giving real-time mutimodal feedback to the user
Modelling morning routines: towards intelligent agents to support people in adopting new habits:
Analysing existing daily behaviour data
User studies about investigating people's routines
Sports Interaction:
Interactive "Exergames" that help users train/practice technique in rowing, volleyball or running
UI/UX Design for Sports Interaction
Deep Learning for identifying defects or injury possibility during sports activity
Smart Textiles for providing feedback to athletes
Promoting Mental Well Being of Athletes
Research about frameworks, taxonomy, or algorithms on sport sciences, data visualization or data interaction
Using neural networks to simulate auditory hallucinations
Information
For further information on the content of this track, you may contact the track chair: Mariët Theune