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PZBoard: a prediction-based zooming interface for supporting text entry on a mobile device

Published: 06 September 2016 Publication History

Abstract

In this paper, we propose Predictive Zooming Keyboard (PZBoard) which predicts a target position from the finger movement above the touch-screen of a mobile device and that enlarges a part of the keyboard around the predicted position. We use a hover function of the mobile device to obtain the finger position above the touch-screen. While a finger is detected, a part of the keyboard around the finger position are enlarged. When the user moves his/her finger fast to enter a distant key, the target position is predicted and the center of enlargement moves to the predicted position. Using prediction, the system can start drawing the screen before the finger reaches the target position, which reduces the system's latency and quickens the user's response. The proposed interface does not force the user to perform additional operation for enlarging keys, and enables stable selection of both near and distant keys by fixing or changing the center of enlargement based on the velocity of the finger.

References

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Chen, X. A., Grossman, T., and Fitzmaurice, G. 2014. Swipeboard: a text entry technique for ultra-small interfaces that supports novice to expert transitions. In Proceedings of the 27th annual ACM symposium on User interface software and technology (UIST '14), 615--620.
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Hong, J., Heo, S., Isokoski, P., and Lee, G. 2015. SplitBoard: A Simple Split Soft Keyboard for Wristwatch-sized Touch Screens. In Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems (CHI '15), 1233--1236.
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Koarai, N., and Komuro, T. 2013. A zooming interface for accurate text input on mobile devices. In Proceedings of the 31st annual ACM Conference Extended Abstracts on Human Factors in Computing Systems (CHI EA '13), 1299--1304.
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Oney, S., Harrison, C., Ogan, A., and Wiese, J. 2013. ZoomBoard: a diminutive qwerty soft keyboard using iterative zooming for ultra-small devices. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI '13), 2799--2802.
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Pollmann, F., Wenig, D., and Malaka, R. 2014. HoverZoom: making on-screen keyboards more accessible. In Proceedings of the 32nd annual ACM Conference Extended Abstracts on Human Factors in Computing Systems (CHI EA '14). 1261--1266.
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Xia, H., Jota, R., McCanny, B., Yu, Z., Forlines, C., Singh, K., and Wigdor, D. 2014. Zero-latency tapping: using hover information to predict touch locations and eliminate touchdown latency. In Proceedings of the 27th annual ACM symposium on User interface software and technology (UIST '14), 205--214.
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Yang, X., Grossman, T., Irani, P., and Fitzmaurice, G. 2011. TouchCuts and TouchZoom: enhanced target selection for touch displays using finger proximity sensing. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI '11), 2585--2594.

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    cover image ACM Conferences
    MobileHCI '16: Proceedings of the 18th International Conference on Human-Computer Interaction with Mobile Devices and Services Adjunct
    September 2016
    664 pages
    ISBN:9781450344135
    DOI:10.1145/2957265
    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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    New York, NY, United States

    Publication History

    Published: 06 September 2016

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    Author Tags

    1. hover input
    2. text entry
    3. touch-screen
    4. zooming interface

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    Overall Acceptance Rate 202 of 906 submissions, 22%

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