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iGrasp: grasp-based adaptive keyboard for mobile devices

Published: 27 April 2013 Publication History

Abstract

Multitouch tablets, such as iPad and Android tablets, support virtual keyboards for text entry. Our 64-user study shows that 98% of the users preferred different keyboard layouts and positions depending on how they were holding these devices. However, current tablets either do not allow keyboard adjustment or require users to manually adjust the keyboards. We present iGrasp, which automatically adapts the layout and position of virtual keyboards based on how and where users are grasping the devices without requiring explicit user input. Our prototype uses 46 capacitive sensors positioned along the sides of an iPad to sense users' grasps, and supports two types of grasp-based automatic adaptation: layout switching and continuous positioning. Our two 18-user studies show that participants were able to begin typing 42% earlier using iGrasp's adaptive keyboard compared to the manually adjustable keyboard.

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Cited By

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  • (2021)Auth+Track: Enabling Authentication Free Interaction on Smartphone by Continuous User TrackingProceedings of the 2021 CHI Conference on Human Factors in Computing Systems10.1145/3411764.3445624(1-16)Online publication date: 6-May-2021
  • (2019)HandSeeProceedings of the 2019 CHI Conference on Human Factors in Computing Systems10.1145/3290605.3300935(1-13)Online publication date: 2-May-2019
  • (2018)ResearchIMEProceedings of the 2018 CHI Conference on Human Factors in Computing Systems10.1145/3173574.3173829(1-14)Online publication date: 21-Apr-2018
  • Show More Cited By

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  1. iGrasp: grasp-based adaptive keyboard for mobile devices

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    Published In

    cover image ACM Conferences
    CHI EA '13: CHI '13 Extended Abstracts on Human Factors in Computing Systems
    April 2013
    3360 pages
    ISBN:9781450319522
    DOI:10.1145/2468356
    Permission to make digital or hard copies of part or all 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 third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 27 April 2013

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    Author Tags

    1. adaptive user interfaces
    2. grasp detection
    3. mobile devices.
    4. virtual keyboard

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    CHI '13
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    Acceptance Rates

    CHI EA '13 Paper Acceptance Rate 630 of 1,963 submissions, 32%;
    Overall Acceptance Rate 6,164 of 23,696 submissions, 26%

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    Cited By

    View all
    • (2021)Auth+Track: Enabling Authentication Free Interaction on Smartphone by Continuous User TrackingProceedings of the 2021 CHI Conference on Human Factors in Computing Systems10.1145/3411764.3445624(1-16)Online publication date: 6-May-2021
    • (2019)HandSeeProceedings of the 2019 CHI Conference on Human Factors in Computing Systems10.1145/3290605.3300935(1-13)Online publication date: 2-May-2019
    • (2018)ResearchIMEProceedings of the 2018 CHI Conference on Human Factors in Computing Systems10.1145/3173574.3173829(1-14)Online publication date: 21-Apr-2018
    • (2017)Understanding Grip ShiftsProceedings of the 2017 CHI Conference on Human Factors in Computing Systems10.1145/3025453.3025835(4680-4691)Online publication date: 2-May-2017
    • (2017)Dynamic UI Adaptations for One-Handed Use of Large Mobile Touchscreen DevicesHuman-Computer Interaction – INTERACT 201710.1007/978-3-319-67687-6_13(184-201)Online publication date: 21-Sep-2017
    • (2016)Investigating how the hand interacts with different mobile phonesProceedings of the 18th International Conference on Human-Computer Interaction with Mobile Devices and Services Adjunct10.1145/2957265.2961840(698-705)Online publication date: 6-Sep-2016
    • (2016)Enhancing typing performance of older adults on tabletsUniversal Access in the Information Society10.1007/s10209-014-0394-815:3(393-418)Online publication date: 1-Aug-2016
    • (2015)Sensing Tablet Grasp + Micro-mobility for Active ReadingProceedings of the 28th Annual ACM Symposium on User Interface Software & Technology10.1145/2807442.2807510(477-487)Online publication date: 5-Nov-2015
    • (2014)Sensing techniques for tablet+stylus interactionProceedings of the 27th annual ACM symposium on User interface software and technology10.1145/2642918.2647379(605-614)Online publication date: 5-Oct-2014
    • (2014)Comparing pointing techniques for grasping hands on tabletsProceedings of the 16th international conference on Human-computer interaction with mobile devices & services10.1145/2628363.2628371(53-62)Online publication date: 23-Sep-2014

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