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EdgeVib: Effective Alphanumeric Character Output Using a Wrist-Worn Tactile Display

Published: 16 October 2016 Publication History

Abstract

This paper presents EdgeVib, a system of spatiotemporal vibration patterns for delivering alphanumeric characters on wrist-worn vibrotactile displays. We first investigated spatiotemporal pattern delivery through a watch-back tactile display by performing a series of user studies. The results reveal that employing a 2×2 vibrotactile array is more effective than employing a 3×3 one, because the lower-resolution array creates clearer tactile sensations in less time consumption. We then deployed EdgeWrite patterns on a 2×2 vibrotactile array to determine any difficulties of delivering alphanumerical characters, and then modified the unistroke patterns into multistroke EdgeVib ones on the basis of the findings. The results of a 24-participant user study reveal that the recognition rates of the modified multistroke patterns were significantly higher than the original unistroke ones in both alphabet (85.9% vs. 70.7%) and digits (88.6% vs. 78.5%) delivery, and a further study indicated that the techniques can be generalized to deliver two-character compound messages with recognition rates higher than 83.3%. The guidelines derived from our study can be used for designing watch-back tactile displays for alphanumeric character output.

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References

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    cover image ACM Conferences
    UIST '16: Proceedings of the 29th Annual Symposium on User Interface Software and Technology
    October 2016
    908 pages
    ISBN:9781450341899
    DOI:10.1145/2984511
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    Published: 16 October 2016

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    Author Tags

    1. alphanumerical character output
    2. spatiotemporal vibrotactile pattern
    3. wrist-worn tactile display

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    Cited By

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    • (2024)Shock Me The Way: Directional Electrotactile Feedback under the Smartwatch as a Navigation Aid for CyclistsProceedings of the ACM on Human-Computer Interaction10.1145/36765218:MHCI(1-25)Online publication date: 24-Sep-2024
    • (2024)Can a Smartwatch Move Your Fingers? Compact and Practical Electrical Muscle Stimulation in a SmartwatchProceedings of the 37th Annual ACM Symposium on User Interface Software and Technology10.1145/3654777.3676373(1-15)Online publication date: 13-Oct-2024
    • (2024)Designing Haptic Feedback for Sequential Gestural InputsProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642735(1-17)Online publication date: 11-May-2024
    • (2024)Stereohaptic Vibration: Out-of-Body Localization of Virtual Vibration Source Through Multiple Vibrotactile Stimuli on the ForearmsIEEE Transactions on Haptics10.1109/TOH.2024.335757417:1(86-91)Online publication date: 1-Jan-2024
    • (2024)A Lightweight Haptic Interface for Hand-to-Object Tasks With Spatiotemporal DisplaysIEEE Transactions on Industrial Electronics10.1109/TIE.2024.339299671:12(16255-16263)Online publication date: Dec-2024
    • (2024)The user experience of distal arm-level vibrotactile feedback for interactions with virtual versus physical displaysVirtual Reality10.1007/s10055-024-00977-228:2Online publication date: 22-Mar-2024
    • (2024)Memorable Vibration Pattern Design Based on Writing PatternHaptics: Understanding Touch; Technology and Systems; Applications and Interaction10.1007/978-3-031-70058-3_37(449-463)Online publication date: 30-Jun-2024
    • (2023)A Wearable Haptic Interface for Assisting Blind and Visually Impaired Students in Learning Algebraic EquationsExtended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems10.1145/3544549.3585815(1-7)Online publication date: 19-Apr-2023
    • (2023)Representational Similarity Analysis for Tracking Neural Correlates of Haptic Learning on a Multimodal DeviceIEEE Transactions on Haptics10.1109/TOH.2023.330383816:3(424-435)Online publication date: 9-Aug-2023
    • (2023)Interaction Design With Multi-Objective Bayesian OptimizationIEEE Pervasive Computing10.1109/MPRV.2022.323059722:1(29-38)Online publication date: 1-Jan-2023
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