Nothing Special   »   [go: up one dir, main page]

skip to main content
10.1145/3170427.3188645acmconferencesArticle/Chapter ViewAbstractPublication PageschiConference Proceedingsconference-collections
abstract

Button++: Designing Risk-aware Smart Buttons

Published: 20 April 2018 Publication History

Abstract

Buttons are the most commonly used input devices. So far the goal of the designers was to provide a passive button that can accept user input as easily as possible. Therefore, based on Fitts' law, they maximize the size of the button and make the distance closer. This paper proposes Button++, a novel method to design smart buttons that actively judge user's movement risk and selectively trigger input. Based on the latest model of moving target selection, Button++ tracks the user's submovement just before the click and infers the expected error rate that can occur if the user repeatedly clicks with the same movement. This allows designers to make buttons that actively respond to the amount of risk in the user's input movement.

References

[1]
Géry Casiez and Nicolas Roussel. 2011. No more bricolage!: methods and tools to characterize, replicate and compare pointing transfer functions. In Proceedings of the 24th annual ACM symposium on User interface software and technology. ACM, 603--614. Figure 4: Results from the pilot study: Button++ did very well explain the experimental measurements, even though we did not remove the pointing outliers at all.
[2]
Olivier Chapuis, Renaud Blanch, and Michel Beaudouin-Lafon. 2007. Fitts' law in the wild: A field study of aimed movements. (2007).
[3]
Yves Guiard and Olivier Rioul. 2015. A mathematical description of the speed/accuracy trade-off of aimed movement. In Proceedings of the 2015 British HCI Conference. ACM, 91--100.
[4]
Andreas Karrenbauer and Antti Oulasvirta. 2014. Improvements to keyboard optimization with integer programming. In Proceedings of the 27th annual ACM symposium on User interface software and technology. ACM, 621--626.
[5]
Sunjun Kim, Byungjoo Lee, and Antti Oulasvirta. 2018. Impact Activation Improves Rapid Button Pressing. In Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems. ACM, to appear.
[6]
Y Kozlov and T Weinkauf. 2015. Persistence1D: Extracting and filtering minima and maxima of 1d functions. h ttp://people. mpi-inf. mpg. de/ weinkauf/notes/persistence1d. html, accessed (2015), 11--01.
[7]
Byungjoo Lee and Hyunwoo Bang. 2013. A kinematic analysis of directional effects on mouse control. Ergonomics 56, 11 (2013), 1754--1765.
[8]
Byungjoo Lee and Hyunwoo Bang. 2015. A mouse with two optical sensors that eliminates coordinate disturbance during skilled strokes. Human-Computer Interaction 30, 2 (2015), 122--155.
[9]
Byungjoo Lee, Qiao Deng, Eve Hoggan, and Antti Oulasvirta. 2017. Boxer: a multimodal collision technique for virtual objects. In Proceedings of the 19th ACM International Conference on Multimodal Interaction. ACM, 252--260.
[10]
Byungjoo Lee, Sunjun Kim, and Antti Oulasvirta. 2018. Moving Target Selection: A Cue Integration Model. In Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems. ACM, to appear.
[11]
Byungjoo Lee, Mathieu Nancel, and Antti Oulasvirta. 2016. AutoGain: Adapting Gain Functions by Optimizing Submovement Efficiency. arXiv preprint arXiv:1611.08154 (2016).
[12]
Byungjoo Lee and Antti Oulasvirta. 2016. Modelling error rates in temporal pointing. In Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems. ACM, 1857--1868.
[13]
Martez E Mott and Jacob O Wobbrock. 2014. Beating the bubble: using kinematic triggering in the bubble lens for acquiring small, dense targets. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. ACM, 733--742.
[14]
Antti Oulasvirta, Sunjun Kim, and Byungjoo Lee. 2018. Neuromechanics of a Button Press. In Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems. ACM, to appear.
[15]
Daryl Weir, Henning Pohl, Simon Rogers, Keith Vertanen, and Per Ola Kristensson. 2014. Uncertain text entry on mobile devices. In Proceedings of the SIGCHI conference on human factors in computing systems. ACM, 2307--2316.
[16]
Jacob O Wobbrock, Edward Cutrell, Susumu Harada, and I Scott MacKenzie. 2008. An error model for pointing based on Fitts' law. In Proceedings of the SIGCHI conference on human factors in computing systems. ACM, 1613--1622.
[17]
Shumin Zhai, Jing Kong, and Xiangshi Ren. 2004. Speed--accuracy tradeoff in Fitts' law tasks. on the equivalency of actual and nominal pointing precision. International journal of human-computer studies 61, 6 (2004), 823--856.

Cited By

View all

Index Terms

  1. Button++: Designing Risk-aware Smart Buttons

    Recommendations

    Comments

    Please enable JavaScript to view thecomments powered by Disqus.

    Information & Contributors

    Information

    Published In

    cover image ACM Conferences
    CHI EA '18: Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems
    April 2018
    3155 pages
    ISBN:9781450356213
    DOI:10.1145/3170427
    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.

    Sponsors

    Publisher

    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 20 April 2018

    Check for updates

    Author Tags

    1. button design
    2. fitts' law
    3. moving target selection
    4. pointing
    5. smart buttons
    6. submovements
    7. temporal pointing

    Qualifiers

    • Abstract

    Funding Sources

    • National Research Foundation of Korea

    Conference

    CHI '18
    Sponsor:

    Acceptance Rates

    CHI EA '18 Paper Acceptance Rate 1,208 of 3,955 submissions, 31%;
    Overall Acceptance Rate 6,164 of 23,696 submissions, 26%

    Upcoming Conference

    CHI 2025
    ACM CHI Conference on Human Factors in Computing Systems
    April 26 - May 1, 2025
    Yokohama , Japan

    Contributors

    Other Metrics

    Bibliometrics & Citations

    Bibliometrics

    Article Metrics

    • 0
      Total Citations
    • 308
      Total Downloads
    • Downloads (Last 12 months)20
    • Downloads (Last 6 weeks)1
    Reflects downloads up to 13 Feb 2025

    Other Metrics

    Citations

    Cited By

    View all

    View Options

    Login options

    View options

    PDF

    View or Download as a PDF file.

    PDF

    eReader

    View online with eReader.

    eReader

    Figures

    Tables

    Media

    Share

    Share

    Share this Publication link

    Share on social media