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Alphabetically constrained keypad designs for text entry on mobile devices

Published: 02 April 2005 Publication History

Abstract

The creation of text will remain a necessary part of human-computer interaction with mobile devices, even as they continue to shrink in size. On mobile phones, text is often entered using keypads and predictive text entry techniques, which attempt to minimize the effort (e.g., number of key presses) needed to enter words. This research presents results from the design and testing of alphabetically-constrained keypads, optimized on various word lists, for predictive text entry on mobile devices. Complete enumeration and Genetic Algorithm-based heuristics were used to find keypad designs based on different numbers of keys. Results show that alphabetically-constrained designs can be found that are close to unconstrained designs in terms of performance. User testing supports the hypothesis that novice ease of learning, usability, and performance is greater for constrained designs when compared to unconstrained designs. The effect of different word lists on keypad design and performance is also discussed.

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  • (2023)FlexType: Flexible Text Input with a Small Set of Input GesturesProceedings of the 28th International Conference on Intelligent User Interfaces10.1145/3581641.3584077(584-594)Online publication date: 27-Mar-2023
  • (2023)Embodied Interaction on Constrained Interfaces for Augmented RealitySpringer Handbook of Augmented Reality10.1007/978-3-030-67822-7_10(239-271)Online publication date: 1-Jan-2023
  • (2020)Force9: Force-assisted Miniature Keyboard on Smart WearablesProceedings of the 2020 International Conference on Multimodal Interaction10.1145/3382507.3418827(232-241)Online publication date: 21-Oct-2020
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    cover image ACM Conferences
    CHI '05: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
    April 2005
    928 pages
    ISBN:1581139985
    DOI:10.1145/1054972
    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 ACM 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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    Published: 02 April 2005

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    Author Tags

    1. mobile device user interface design
    2. novice learning and usability
    3. predictive keypad text entry

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    CHI '05 Paper Acceptance Rate 93 of 372 submissions, 25%;
    Overall Acceptance Rate 6,199 of 26,314 submissions, 24%

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    Cited By

    View all
    • (2023)FlexType: Flexible Text Input with a Small Set of Input GesturesProceedings of the 28th International Conference on Intelligent User Interfaces10.1145/3581641.3584077(584-594)Online publication date: 27-Mar-2023
    • (2023)Embodied Interaction on Constrained Interfaces for Augmented RealitySpringer Handbook of Augmented Reality10.1007/978-3-030-67822-7_10(239-271)Online publication date: 1-Jan-2023
    • (2020)Force9: Force-assisted Miniature Keyboard on Smart WearablesProceedings of the 2020 International Conference on Multimodal Interaction10.1145/3382507.3418827(232-241)Online publication date: 21-Oct-2020
    • (2020)MyoKey: Surface Electromyography and Inertial Motion Sensing-based Text Entry in AR2020 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops)10.1109/PerComWorkshops48775.2020.9156084(1-4)Online publication date: Mar-2020
    • (2020)From seen to unseen: Designing keyboard-less interfaces for text entry on the constrained screen real estate of Augmented Reality headsetsPervasive and Mobile Computing10.1016/j.pmcj.2020.10114864(101148)Online publication date: Apr-2020
    • (2019)Quadmetric Optimized Thumb-to-Finger Interaction for Force Assisted One-Handed Text Entry on Mobile HeadsetsProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/33512523:3(1-27)Online publication date: 9-Sep-2019
    • (2019)HIBEY: Hide the Keyboard in Augmented Reality2019 IEEE International Conference on Pervasive Computing and Communications (PerCom10.1109/PERCOM.2019.8767420(1-10)Online publication date: Mar-2019
    • (2018)Optimal-T9Proceedings of the 2018 ACM International Conference on Interactive Surfaces and Spaces10.1145/3279778.3279786(137-146)Online publication date: 19-Nov-2018
    • (2016)A Survey of Text Entry Techniques for SmartwatchesProceedings, Part II, of the 18th International Conference on Human-Computer Interaction. Interaction Platforms and Techniques - Volume 973210.1007/978-3-319-39516-6_24(255-267)Online publication date: 17-Jul-2016
    • (2015)Feature Stroke: A Text Entry Method Using JoystickInternational Journal of Materials, Mechanics and Manufacturing10.7763/IJMMM.2015.V3.2143:4(299-303)Online publication date: 2015
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