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
Please note that at this time of the year, we can only supervise a very limited number of students in the Intelligent Interaction track. We offer only one general topic:
Substance use screening for vulnerable individuals using IVR agents
IVR (Immersive Virtual Reality) applications have been investigated in the assessment and treatment of addictive disorders (ADs). Intelligent interactions with embodied conversational agents (ECAs) could enrich the feeling of presence in virtual environments, for example through coping skills trainings with persuasive drinking buddies or clinical assessments conducted by virtual doctors. In our project, we aim to explore these IVR capabilities for individuals with mild to borderline intellectual disability (IQ=50-85), which are particularly susceptible for ADs.
We are looking for max. three enthusiastic students that are interested in doing research on such IVR agents.
Information
For further information on the content of this track, you may contact the track chair: Mariët Theune