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; sports interaction technology, extended reality, and more.
The following topics are available in the Intelligent Interaction track. Topics that are no longer available will be crossed out. Please check Canvas for the latest updates and for full descriptions, as well as instructions on how to get a topic.
Multi-modal multi-person virtual museum visits
So you want to be a pro athlete?!
Virtual induced motion by temperature to understand multi-modal aspects of motion sickness
Understanding social media challenges between parents and their children
Effects of deceptive design in specific populations: analysis and detection tool, and analysis of deceptive design in apps for kids
Making social media interventions for groups
Social-physical human-robot interaction for physical activity coaching
Non-semantic schemas to communicate public drone intentions
Memory metals for passive interaction with runners
Design of a monitoring dashboard (digital shadow) for a modular conveyor system
Training strategies for co-bots supporting pick-and-place tasks
Chatbots for clinical assessments in patients with a Mild to Borderline Intellectual Disability and Substance Use Disorder
Smartwatches for measuring lived experiences of high school students
Hybrid animation for VR training environments
Interactive tablecloth for picky eaters
Dynamic time series analysis using wearable data
More topics may be added
For further information on the content of this track, you may contact the track chair: Mariët Theune