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Guided gesture support in the paper PDA
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Robust sketched symbol fragmentation using templates
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Sketch recognition with continuous feedback based on incremental intention extraction
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PapierCraft: a command system for interactive paper
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Hover widgets: using the tracking state to extend the capabilities of pen-operated devices
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Fluid sketching of directed graphs
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Modeling human performance of pen stroke gestures
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Gestures without libraries, toolkits or training: a $1 recognizer for user interface prototypes
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Motion-pointing: target selection using elliptical motions
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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 experi-ments that show that OctoPocus is significantly faster and improves learning of arbitrary gestures, compared to con-ventional Help menus. It can also be adapted to a mark-based gesture set, significantly improving input time compared to a two-level, four-item Hierarchical Marking menu.