One-handed Input for Mobile Devices via Motion Matching and Orbits Controls
Augusto Esteves, Elizabeth Bouquet, Ken Pfeuffer, Florian Alt
Abstract
We introduce a novel one-handed input technique for mobile devices that is not based on pointing, but on motion matching -where users select a target by mimicking its unique animation. Our work is motivated by the findings of a survey (N=201) on current mobile use, from which we identify lingering opportunities for one-handed input techniques. We follow by expanding on current motion matching implementations - previously developed in the context of gaze or mid-air input - so these take advantage of the affordances of touch-input devices. We validate the technique by characterizing user performance via a standard selection task (N=24) where we report success rates (>95%), selection times (~1.6 s), input footprint, grip stability, usability, and subjective workload - in both phone and tablet conditions. Finally, we present a design space that illustrates six ways in which motion matching can be embedded into mobile interfaces via a camera prototype application.