Publikation

Gestu-Wan - An Intelligible Mid-Air Gesture Guidance System for Walk-up-and-Use Displays

Gustavo Rovelo Ruiz, Donald Degraen, Davy Vanacken, Kris Luyten, Karin Coninx

In: INTERACT 2015. IFIP Conference on Human-Computer Interaction (INTERACT) Springer 2015.

Abstrakt

We present Gestu-Wan, an intelligible gesture guidance system designed to support mid-air gesture-based interaction for walk-up-and-use displays. Although gesture-based interfaces have become more prevalent, there is currently very little uniformity with regard to gesture sets and the way gestures can be executed. This leads to confusion, bad user experiences and users who rather avoid than engage in interaction using mid-air gesturing. Our approach improves the visibility of gesture-based interfaces and facilitates execution of mid-air gestures without prior training. We compare Gestu-Wan with a static gesture guide, which shows that it can help users with both performing complex gestures as well as understanding how the gesture recognizer works.

Deutsches Forschungszentrum für Künstliche Intelligenz
German Research Center for Artificial Intelligence