Characterizing gesture knowledge transfer across multiple contexts of use

We address in this work interactive gestures as a distinct type of knowledge that users acquire and employ when interacting in smart environments. We characterize the problem of gesture knowledge transfer by describing gesture knowledge at the user level with the new IUES box concept (information, understanding, experience, and skill), and we introduce the new AIS space (articulation, interpretation, and sensing) to characterize gesture knowledge transfer across multiple contexts of use. Our explorations will be useful to researchers and practitioners of smart environments that wish to reuse people’s gesture knowledge for intuitive gesture-based interactions in such spaces.