OctoPocus: A Dynamic Guide for Learning Gesture-Based Command Sets

We describe OctoPocus, an example of a dynamic guide that combines on-screen feedforward and feedback to help users learn, execute and remember gesture sets. OctoPocus can be applied to a wide range of single-stroke gestures and recognition algorithms and helps users progress smoothly from novice to expert performance. We provide an analysis of the design space and describe the results of two experiments that show that OctoPocus is significantly faster and improves learning of arbitrary gestures, compared to conventional Help menus. It can also be adapted to a markbased gesture set, significantly improving input time compared to a two-level, four-item Hierarchical Marking menu.