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ShadowGuides: visualizations for in-situ learning of multi-touch and whole-hand gestures

Published: 23 November 2009 Publication History
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    We present ShadowGuides, a system for in-situ learning of multi-touch and whole-hand gestures on interactive surfaces. ShadowGuides provides on-demand assistance to the user by combining visualizations of the user's current hand posture as interpreted by the system (feedback) and available postures and completion paths necessary to finish the gesture (feedforward). Our experiment compared participants learning gestures with ShadowGuides to those learning with video-based instruction. We found that participants learning with ShadowGuides remembered more gestures and expressed significantly higher preference for the help system.

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    1. ShadowGuides: visualizations for in-situ learning of multi-touch and whole-hand gestures

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        cover image ACM Conferences
        ITS '09: Proceedings of the ACM International Conference on Interactive Tabletops and Surfaces
        November 2009
        240 pages
        ISBN:9781605587332
        DOI:10.1145/1731903
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        Published: 23 November 2009

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        Author Tags

        1. displacement
        2. gesture learning
        3. marking menus
        4. multi-finger

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        Cited By

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        • (2024)Exploring Visualizations for Precisely Guiding Bare Hand Gestures in Virtual RealityProceedings of the CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642935(1-19)Online publication date: 11-May-2024
        • (2024)PD-Insighter: A Visual Analytics System to Monitor Daily Actions for Parkinson's Disease TreatmentProceedings of the CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642215(1-18)Online publication date: 11-May-2024
        • (2024)Design Space of Visual Feedforward And Corrective Feedback in XR-Based Motion Guidance SystemsProceedings of the CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642143(1-15)Online publication date: 11-May-2024
        • (2024)Audio-visual training and feedback to learn touch-based gesturesJournal of Visualization10.1007/s12650-024-01012-xOnline publication date: 17-Jun-2024
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        • (2023)Using Feedforward to Reveal Interaction Possibilities in Virtual RealityACM Transactions on Computer-Human Interaction10.1145/360362330:6(1-47)Online publication date: 25-Sep-2023
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        • (2023)Engaging Passers-by with Rhythm: Applying Feedforward Learning to a Xylophonic Media Architecture FacadeProceedings of the 2023 CHI Conference on Human Factors in Computing Systems10.1145/3544548.3580761(1-21)Online publication date: 19-Apr-2023
        • (2023)Studies and guidelines for two concurrent stroke gesturesInternational Journal of Human-Computer Studies10.1016/j.ijhcs.2022.102942170:COnline publication date: 1-Feb-2023
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