Element (projet ANR)
Most motion-based interactions offer "intuitive" interfaces and trivial gestural vocabularies. While these facilitate their acceptance, they nevertheless limit the possibilities for more complex, expressive, and truly embodied interactions. We propose moving from notions of intuitiveness to notions of "learnability". Our project addresses both methodological and computational modeling issues. First, we develop methods for designing movement vocabularies that would be easy to learn and compose to create rich and expressive movement phrases. Then, we design computational models capable of analyzing users' movements in real-time to provide various multimodal (e.g. visual and auditory) feedback and guidance mechanisms. Finally, several prototypes are realized during the project.
Organization Frédéric Bevilacqua (Sound Music Movement Interaction Team, IRCAM-STMS)