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Passive Haptic Training to Improve Speed and Performance on a Keypad

Published: 11 September 2017 Publication History

Abstract

Learning text entry systems is challenging, yet necessary. Many layouts and keyboards exist, but they rely on laborious learning techniques. Passive haptic learning (PHL) has already demonstrated some benefit for learning the Braille text entry system. Could this computing-enabled technique be used to improve desktop keyboard typing skills? It is unknown whether passive haptic training can improve speed on a motor task (as opposed to initial learning). We use a randomized numeric keypad to examine users’ typing performance with or without passive haptic training. When users were prevented from looking at the keyboard, the PHL group demonstrated consistent accuracy (-0.011 KSPC) while those in the control group greatly increased their error (+1.26 KSPC on average). This result is consistent with the finding that PHL users looked significantly less at the keyboard. In a second, longer study, users exposed to PHL were found to significantly improve their typing speed (mean increase of 11 WPM) versus control (mean increase of 2.2 WPM).

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    Published In

    cover image Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies
    Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies  Volume 1, Issue 3
    September 2017
    2023 pages
    EISSN:2474-9567
    DOI:10.1145/3139486
    Issue’s Table of Contents
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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    Publication History

    Published: 11 September 2017
    Accepted: 01 June 2017
    Revised: 01 March 2017
    Received: 01 February 2017
    Published in IMWUT Volume 1, Issue 3

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    Author Tags

    1. Haptic
    2. Keyboard
    3. Learning
    4. Text Entry
    5. Typing
    6. Wearable

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    • (2024)Braille Learning using Haptic Feedback2024 Systems and Information Engineering Design Symposium (SIEDS)10.1109/SIEDS61124.2024.10534648(460-465)Online publication date: 3-May-2024
    • (2023)Learning Effects and Retention of Electrical Muscle Stimulation in Piano PlayingProceedings of the 2023 ACM International Symposium on Wearable Computers10.1145/3594738.3611373(104-108)Online publication date: 8-Oct-2023
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