Small, Medium, or Large? Estimating the User-Perceived Scale of Stroke Gestures

摘要

We show that large consensus exists among users in the way they articulate stroke gestures at various scales (i.e., small, medium, and large), and formulate a simple rule that estimates the user-intended scale of input gestures with 87% accuracy. Our estimator can enhance current gestural interfaces by leveraging scale as a natural parameter for gesture input, reflective of user perception (i.e., no training required). Gesture scale can simplify gesture set design, improve gesture-to-function mappings, and reduce the need for users to learn and for recognizers to discriminate unnecessary symbols.