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.
Please note that this is not a complete list yet. For more details and the most up-to-date lost of topics, always check Canvas.
User modeling for health apps
Large Language Model-based sport coaching system using retrieval-augmented generation and user models
A comparative study of touch feedback in coaching scenarios: haptic vest vs. embodied social robot in squatting exercises
Non-stationary preference learning in online human-robot interaction
Voice design for human-robot interaction
Review hijacking in online shops
Affective computing with a touch sensitive patch
Technology4Ecology - Supporting the transition to ecological farming
Decision support conversations with a chatbot for cardiovascular genetic counselling
Chatbots for genetic breast cancer
Virtual agent for art exploration
User-centered design for online shopping: an exploration of consumer information needs
Predicting product aspects from reviews on online shopping platforms
For further information on the content of this track, you may contact the track chair: Anis Hasliza Abu Hashim