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Modeling the functional area of the thumb on mobile touchscreen surfaces

Published: 26 April 2014 Publication History

Abstract

We present a predictive model for the functional area of the thumb on a touchscreen surface: the area of the interface reachable by the thumb of the hand that is holding the device. We derive a quadratic formula by analyzing the kinematics of the gripping hand. Model fit is high for the thumb-motion trajectories of 20 participants. The model predicts the functional area for a given 1) surface size, 2) hand size, and 3) position of the index finger on the back of the device. Designers can use this model to ensure that a user interface is suitable for interaction with the thumb. The model can also be used inversely - that is, to infer the grips assumed by a given user interface layout.

Supplementary Material

MP4 File (p1991-sidebyside.mp4)

References

[1]
Azenkot, S., Wobbrock, J. O., Prasain, S., and Ladner, R. E. Input finger detection for nonvisual touch screen text entry in Perkinput. In Proc. GI '12, Canadian Information Processing Society (2012), 121--129.
[2]
Azenkot, S., and Zhai, S. Touch behavior with different postures on soft smartphone keyboards. In Proc. MobileHCI '12, ACM (2012), 251--260.
[3]
Bergstrom-Lehtovirta, J., Oulasvirta, A., and Brewster, S. The effects of walking speed on target acquisition on a touchscreen interface. In Proc. MobileHCI '11, ACM (2011), 143--146.
[4]
Cheng, L.-P., Liang, H.-S., Wu, C.-Y., and Chen, M. Y. iGrasp: Grasp-based adaptive keyboard for mobile devices. In Proc. CHI '13, ACM (2013), 3037--3046.
[5]
Clark, J. Designing for touch (section "Rule of thumb"). http://www.netmagazine.com/features/designing-touch.
[6]
Curtis, D. 3.5 inches. http://dcurt.is/3-point-5-inches.
[7]
Dept. of Defense, Human Factors Engineering Technical Advisory Group. Human engineering design data digest. http://www.dtic.mil/cgi-bin/GetTRDoc?AD=ADA467401.
[8]
Garrett, J. W. The adult human hand: Some anthropometric and biomechanical considerations. Human Factors: The Journal of the Human Factors and Ergonomics Society 13, 2 (1971), 117--131.
[9]
Goel, M., Jansen, A., Mandel, T., Patel, S. N., and Wobbrock, J. O. ContextType: Using hand posture information to improve mobile touch screen text entry. In Proc. CHI '13, ACM (2013), 2795--2798.
[10]
Goel, M., Wobbrock, J., and Patel, S. GripSense: Using built-in sensors to detect hand posture and pressure on commodity mobile phones. In Proc. UIST '12, ACM (2012), 545--554.
[11]
Guiard, Y. Asymmetric division of labor in human skilled bimanual action: The kinematic chain as a model. Journal of Motor Behavior 19 (1987), 486--517.
[12]
Holz, C., and Baudisch, P. Understanding touch. In Proc. CHI '11, ACM (2011), 2501--2510.
[13]
Hoober, S. How do users really hold mobile devices' http://www.uxmatters.com/mt/archives/2013/02/how-do-users-really-hold-mobile-devices.php.
[14]
Jones, L. A., and Lederman, S. J. Human Hand Function. Oxford University Press, 2006.
[15]
Karlson, A., Bederson, B., and Contreras-Vidal, J. Understanding single-handed mobile device interaction. Handbook of research on user interface design and evaluation for mobile technology (2006), 86--101.
[16]
Kim, K.-E., Chang, W., Cho, S.-J., Shim, J., Lee, H., Park, J., Lee, Y., and Kim, S. Hand grip pattern recognition for mobile user interfaces. In Proc. AAAI '06, vol. 21 (2006), 1789--1794.
[17]
Kuo, L.-C., Chiu, H.-Y., Chang, C.-W., Hsu, H.-Y., and Sun, Y.-N. Functional workspace for precision manipulation between thumb and fingers in normal hands. Journal of Electromyography and Kinesiology 19, 5 (2009), 829--839.
[18]
Li, Z.-M., and Tang, J. Coordination of thumb joints during opposition. Journal of Biomechanics 40, 3 (2007), 502--510.
[19]
Napier, J. R. The prehensile movements of the human hand. Journal of Bone and Joint Surgery 38, 4 (1956), 902--913.
[20]
Neumann, D. Kinesiology of the Musculoskeletal System: Foundations for Rehabilitation. Mosby Elsevier, 2010.
[21]
Ng, A., Brewster, S. A., and Williamson, J. The impact of encumbrance on mobile interactions. In Proc. INTERACT 2013, Springer (2013), 92--109.
[22]
Odell, D., and Chandrasekaran, V. Enabling comfortable thumb interaction in tablet computers: A windows 8 case study. In Proc. HFES '12, vol. 56, SAGE Publications (2012), 1907--1911.
[23]
Oulasvirta, A., and Bergstrom-Lehtovirta, J. Ease of juggling: Studying the effects of manual multitasking. In Proc. CHI '11, ACM (2011), 3103--3112.
[24]
Oulasvirta, A., Reichel, A., Li, W., Zhang, Y., Bachynskyi, M., Vertanen, K., and Kristensson, P. O. Improving two-thumb text entry on touchscreen devices. In Proc. CHI '13, ACM (2013), 2765--2774.
[25]
Parhi, P., Karlson, A. K., and Bederson, B. B. Target size study for one-handed thumb use on small touchscreen devices. In Proc. MobileHCI '06, ACM (2006), 203--210.
[26]
Park, Y. S., and Han, S. H. Touch key design for one-handed thumb interaction with a mobile phone: Effects of touch key size and touch key location. International Journal of Industrial Ergonomics 40, 1 (2010), 68--76.
[27]
Taylor, B. T., and Bove, V. M. The bar of soap: A grasp recognition system implemented in a multi-functional handheld device. In CHI '08 Extended Abstracts, ACM (2008), 3459--3464.
[28]
Trudeau, M. B., Young, J. G., Jindrich, D. L., and Dennerlein, J. T. Thumb motor performance varies with thumb and wrist posture during single-handed mobile phone use. Journal of Biomechanics 45 (2012), 2349--2354.
[29]
Wagner, J., Huot, S., and Mackay, W. BiTouch and BiPad: Designing bimanual interaction for hand-held tablets. In Proc. CHI '12, ACM (2012), 2317--2326.
[30]
Wroblewski, L. Responsive navigation: Optimizing for touch across devices. http://www.lukew.com/ff/entry.asp?1649.
[31]
Yin, Y., Ouyang, T. Y., Partridge, K., and Zhai, S. Making touchscreen keyboards adaptive to keys, hand postures, and individuals - a hierarchical spatial backoff model approach. In Proc. CHI '13, ACM (2013), 2775--2784.

Cited By

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  • (2024)Usability Optimization for Mobile Menu Design: An Empirical Study of Hand Grips and User PreferencesProceedings of the ACM on Human-Computer Interaction10.1145/36765088:MHCI(1-19)Online publication date: 24-Sep-2024
  • (2024)BendAide: A Deformable Interface to Augment Touchscreen Mobile DevicesProceedings of the 50th Graphics Interface Conference10.1145/3670947.3670960(1-10)Online publication date: 3-Jun-2024
  • (2024)Interaction with a 3D Surface for an Innovative Input Experience on a Central ConsoleProceedings of the 16th International Conference on Automotive User Interfaces and Interactive Vehicular Applications10.1145/3640792.3675707(136-148)Online publication date: 22-Sep-2024
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    cover image ACM Conferences
    CHI '14: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
    April 2014
    4206 pages
    ISBN:9781450324731
    DOI:10.1145/2556288
    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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    Publication History

    Published: 26 April 2014

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    Author Tags

    1. functional area
    2. predictive model
    3. thumb
    4. touchscreen

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    April 26 - May 1, 2014
    Ontario, Toronto, Canada

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    CHI '14 Paper Acceptance Rate 465 of 2,043 submissions, 23%;
    Overall Acceptance Rate 6,199 of 26,314 submissions, 24%

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    Cited By

    View all
    • (2024)Usability Optimization for Mobile Menu Design: An Empirical Study of Hand Grips and User PreferencesProceedings of the ACM on Human-Computer Interaction10.1145/36765088:MHCI(1-19)Online publication date: 24-Sep-2024
    • (2024)BendAide: A Deformable Interface to Augment Touchscreen Mobile DevicesProceedings of the 50th Graphics Interface Conference10.1145/3670947.3670960(1-10)Online publication date: 3-Jun-2024
    • (2024)Interaction with a 3D Surface for an Innovative Input Experience on a Central ConsoleProceedings of the 16th International Conference on Automotive User Interfaces and Interactive Vehicular Applications10.1145/3640792.3675707(136-148)Online publication date: 22-Sep-2024
    • (2024)Single-handed Folding Interactions with a Modified Clamshell Flip PhoneProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642554(1-14)Online publication date: 11-May-2024
    • (2024)Behavioral Differences between Tap and Swipe: Observations on Time, Error, Touch-point Distribution, and Trajectory for Tap-and-swipe Enabled TargetsProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642272(1-12)Online publication date: 11-May-2024
    • (2024)Impact of Fingernails Length on Mobile Tactile InteractionProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642037(1-21)Online publication date: 11-May-2024
    • (2024)Grip-Reach-Touch-Repeat: A Refined Model of Grasp to Encompass One-Handed Interaction with Arbitrary Form Factor DevicesProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642022(1-17)Online publication date: 11-May-2024
    • (2024)FanPad: A Fan Layout Touchpad Keyboard for Text Entry in VR2024 IEEE Conference Virtual Reality and 3D User Interfaces (VR)10.1109/VR58804.2024.00045(222-232)Online publication date: 16-Mar-2024
    • (2024)Perceived User Reachability in Mobile UIs Using Data Analytics and Machine LearningInternational Journal of Human–Computer Interaction10.1080/10447318.2024.2327199(1-24)Online publication date: 25-Mar-2024
    • (2023)Investigating user performance and preference for two magnitude levels of size and angle of bend on a smartphone-sized flexible deviceBehaviour & Information Technology10.1080/0144929X.2023.2245062(1-27)Online publication date: 13-Sep-2023
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