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Gathering text entry metrics on android devices

Published: 07 May 2011 Publication History

Abstract

We developed an application to gather text entry speed and accuracy metrics on Android devices. This paper details the features of the application and describes a pilot study to demonstrate its utility. We evaluated and compared three mobile text entry methods: QWERTY typing, handwriting recognition, and shape writing recognition. Handwriting was the slowest and least accurate technique. QWERTY was faster than shape writing, but we found no significant difference in accuracy between the two techniques.

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Cited By

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  • (2023)Fast and Robust Mid-Air Gesture Typing for AR Headsets using 3D Trajectory DecodingIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2023.332021829:11(4622-4632)Online publication date: Nov-2023
  • (2022)Effect of gestures and smartphone sizes on user experience of text input methodsUniversal Access in the Information Society10.1007/s10209-021-00863-722:2(537-554)Online publication date: 24-Jan-2022
  • (2022)Designing a Voice Intelligent Agent: A Review and AppraisalHuman-Automation Interaction10.1007/978-3-031-10788-7_8(143-162)Online publication date: 15-Dec-2022
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    cover image ACM Conferences
    CHI EA '11: CHI '11 Extended Abstracts on Human Factors in Computing Systems
    May 2011
    2554 pages
    ISBN:9781450302685
    DOI:10.1145/1979742

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    New York, NY, United States

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    Published: 07 May 2011

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    Author Tags

    1. accuracy
    2. android os
    3. entry speed
    4. metrics
    5. text entry

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    View all
    • (2023)Fast and Robust Mid-Air Gesture Typing for AR Headsets using 3D Trajectory DecodingIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2023.332021829:11(4622-4632)Online publication date: Nov-2023
    • (2022)Effect of gestures and smartphone sizes on user experience of text input methodsUniversal Access in the Information Society10.1007/s10209-021-00863-722:2(537-554)Online publication date: 24-Jan-2022
    • (2022)Designing a Voice Intelligent Agent: A Review and AppraisalHuman-Automation Interaction10.1007/978-3-031-10788-7_8(143-162)Online publication date: 15-Dec-2022
    • (2020)Typing on a Smartwatch While Mobile: A Comparison of Input MethodsHuman Factors: The Journal of the Human Factors and Ergonomics Society10.1177/001872081989129163:6(974-986)Online publication date: 7-Feb-2020
    • (2019)An Evaluation Model for Measuring the Usability of Mobile Office Applications through User Interface Design MetricsMehran University Research Journal of Engineering and Technology10.22581/muet1982.1903.1038:3(641-654)Online publication date: 1-Jul-2019
    • (2019)Measuring mobile text entry performance and behaviour in the wild with a serious gameProceedings of the 18th International Conference on Mobile and Ubiquitous Multimedia10.1145/3365610.3365633(1-11)Online publication date: 26-Nov-2019
    • (2019)Investigating Gesture Typing for Indirect TouchProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/33512753:3(1-22)Online publication date: 9-Sep-2019
    • (2019)A Prototypical Photo Sorting Study Design for Comparing Interaction StylesProceedings of Mensch und Computer 201910.1145/3340764.3344892(689-693)Online publication date: 8-Sep-2019
    • (2019)RotoSwypeProceedings of the 2019 CHI Conference on Human Factors in Computing Systems10.1145/3290605.3300244(1-12)Online publication date: 2-May-2019
    • (2018)Smart Phone Keyboard Layout UsabilityInternational Journal of Technology and Human Interaction10.4018/IJTHI.201810010714:4(110-135)Online publication date: 1-Oct-2018
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