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

skip to main content
10.1145/2702123.2702188acmconferencesArticle/Chapter ViewAbstractPublication PageschiConference Proceedingsconference-collections
research-article

Personalized, Wearable Control of a Head-mounted Display for Users with Upper Body Motor Impairments

Published: 18 April 2015 Publication History

Abstract

Head-mounted displays provide relatively hands-free interaction that could improve mobile computing access for users with motor impairments. To investigate this largely unexplored area, we present two user studies. The first, smaller study evaluated the accessibility of Google Glass, a head-mounted display, with 6 participants. Findings revealed potential benefits of a head-mounted display yet demonstrated the need for alternative means of controlling Glass-3 of the 6 participants could not use it at all. We then conducted a second study with 12 participants to evaluate a potential alternative input mechanism that could allow for accessible control of a head-mounted display: switch-based wearable touchpads that can be affixed to the body or wheelchair. The study assessed input performance with three sizes of touchpad, investigated personalization patterns when participants were asked to place the touchpads on their body or wheelchair, and elicited subjective responses. All 12 participants were able to use the touchpads to control the display, and patterns of touchpad placement point to the value of personalization in providing support for each user's motor abilities.

References

[1]
Anthony, L., Kim, Y., and Findlater, L. Analyzing usergenerated YouTube videos to understand touchscreen use by people with motor impairments. Proc. CHI'13, (2013), 1223--1232.
[2]
Ashbrook, D., Baudisch, P., and White, S. Nenya: subtle and eyes-free mobile input with a magnetically-tracked finger ring. Proc. CHI'11, (2011), 2043--2046.
[3]
Braun, V. and Clarke, V. Using thematic analysis in psychology. Qualitative Research in Psychology 3, 2 (2006), 77--101.
[4]
Carrington, P., Hurst, A., and Kane, S.K. Wearables and Chairables: Inclusive Design of Mobile Input and Output Techniques for Power Wheelchair Users. Proc. CHI'14, (2014), 3103--3112.
[5]
Carrington, P., Hurst, A., Kane, S.K. The Gest-Rest: a pressure-sensitive chairable input pad for power wheelchair armrests. Proc. ASSETS'14, (2014), to appear.
[6]
Duff, S.N., Irwin, C.B., Skye, J.L., Sesto, M.E., and Wiegmann, D.A. The effect of disability and approach on touch screen performance during a number entry task. Proc. HFES'10, (2010), 566--570.
[7]
Froehlich, J., Wobbrock, J.O., and Kane, S.K. Barrier Pointing: Using Physical Edges to Assist Target Acquisition on Mobile Device Touch Screens. Proc. ASSETS'07, (2007), 19--26.
[8]
Guerreiro, T.J.V., Nicolau, H., Jorge, J., and Gonçalves, D. Assessing Mobile Touch Interfaces for Tetraplegics. Proc. MobileHCI'10, (2010), 31--34.
[9]
Gustafson, S., Holz, C., and Baudisch, P. Imaginary phone: learning imaginary interfaces by transferring spatial memory from a familiar device. Proc. UIST'11, (2011), 283--292.
[10]
Ha, K., Chen, Z., Hu, W., Richter, W., Pillai, P., and Satyanarayanan, M. Towards wearable cognitive assistance. Proc. MobiSys'14, (2014), 68--81.
[11]
Harrison, C. and Wilson, A.D. OmniTouch: wearable multitouch interaction everywhere. Proc. UIST'11, (2011), 441--450.
[12]
Huo, X., Park, H., Ghovanloo, M. Dual-mode tongue drive system. Proc. Wireless Health, (2012), 1--8.
[13]
International Organization for Standardization. Ergonomic requirements for office work with visual display terminals (VDTs)-Requirements for non-keyboard input devices (Ref. No. ISO 9241--9:2000(E)). 2002.
[14]
Irwin, C.B. and Sesto, M.E. Performance and touch characteristics of disabled and non-disabled participants during a reciprocal tapping task using touch screen technology. Applied Ergonomics 43, 6 (2012), 1038--1043.
[15]
Kane, S.K., Jayant, C., Wobbrock, J.O., and Ladner, R.E. Freedom to Roam: A Study of Mobile Device Adoption and Accessibility for People with Visual and Motor Disabilities. Proc. ASSETS'09, (2009), 115--122.
[16]
Kaufmann, B. and Buechley, L. Amarino. Proc. MobileHCI'10, (2010), 291.
[17]
Krevelen, D.W.F. Van and Poelman, R. A Survey of Augmented Reality Technologies, Applications and Limitations. Int'l J. of Virtual Reality 9, 2 (2010), 1.
[18]
Kumar, M., Paepcke, A., and Winograd, T. EyePoint. Proc. CHI'07, (2007), 421--430.
[19]
Kunze, K., Henze, N., and Kise, K. Wearable computing for older adults. UbiComp'14 Adjunct, (2014), 83--86.
[20]
Lee, T. and Hollerer, T. Handy AR: Markerless Inspection of Augmented Reality Objects Using Fingertip Tracking. Proc. ISWC'07, (2007), 1--8.
[21]
Lyons, K., Nguyen, D.H., Ashbrook, D., and White, S. Facet: a multi-segment wrist worn system. Proc. UIST'12, (2012), 123--129.
[22]
Lyons, K., Starner, T., Plaisted, D., et al. Twiddler typing: one-handed chording text entry for mobile phones. Proc. CHI '04, (2004), 671--678.
[23]
Mathiowetz, V., Volland, G., Kashman, N., and Weber, K. Adult norms for the Box and Block Test of manual dexterity. American J. of Occupational Therapy 39, 6 (1985), 386--391.
[24]
Mazilu, S., Blanke, U., Hardegger, M., Tröster, G., Gazit, E., Hausdorff, J.M. GaitAssist: a daily-life support and training system for Parkinson's disease patients with freezing of gait. Proc. CHI'14, (2014), 2531--2540.
[25]
McNaney, R., Vines, J., Roggen, D., et al. Exploring the acceptability of Google Glass as an everyday assistive device for people with Parkinson's. Proc. CHI'14, (2014), 2551--2554.
[26]
Naftali, M. and Findlater, L. Accessibility in Context: Understanding the Truly Mobile Experience of Smartphone Users With Motor Impairments. Proc. ASSETS'14, (2014), To appear.
[27]
Olwal, A. and Feiner, S. SenseShapes: Using statistical geometry for object selection in a multimodal aug-mented reality system. Proc. ISMAR '03 (2003), 300.
[28]
Profita, H.P., Clawson, J., Gilliland, S., et al. Don't mind me touching my wrist. Proc. ISWC '13, (2013), 89.
[29]
Raya, R., Roa, J.O., Rocon, E., Ceres, R., and Pons, J.L. Wearable inertial mouse for children with physical and cognitive impairments. Sensors and Actuators A: Physical 162, 2 (2010), 248--259.
[30]
Rekimoto, J. GestureWrist and GesturePad: unobtrusive wearable interaction devices. Proc. ISCW'01, (2001), 21--27.
[31]
Saponas, T.S., Tan, D.S., Morris, D., Balakrishnan, R., Turner, J., and Landay, J.A. Enabling always-available input with muscle-computer interfaces. Proc. UIST'09, (2009), 167--176.
[32]
Shinohara, K. and Wobbrock, J.O. In the shadow of misperception. Proc. CHI'11, (2011), 705--714.
[33]
Trewin, S., Swart, C., and Pettick, D. Physical accessibility of touchscreen smartphones. Proc. ASSETS '13. Article 19, (2013), 1--8.
[34]
Wacharamanotham, C., Hurtmanns, J., Mertens, A., Kronenbuerger, M., Schlick, C., and Borchers, J. Evaluating swabbing: a touchscreen input method for elderly users with tremor. Proc. CHI'11, (2011), 623--626.
[35]
Wobbrock, J.O., Myers, B.A., and Kembel, J.A. EdgeWrite: A Stylus-Based Text Entry Method Designed for High Accuracy and Stability of Motion. Proc. UIST'03, (2003), 61--70.
[36]
Yamamoto, G., Kuroda, T., Yoshitake, D., et al. PiTaSu: wearable interface for assisting senior citizens with memory problems. Int'l Journal on Disability and Human Development 10, 4 (2011), 295--300.
[37]
Zhou, F., Duh, H.B.-L., and Billinghurst, M. Trends in augmented reality tracking, interaction and display: A review of ten years of ISMAR. Proc. ISMAR'08, (2008), 193--202.
[38]
Zhou, H. and Hu, H. Human motion tracking for rehabilitation-A survey. Biomedical Signal Processing and Control 3, 1 (2008), 1--18.

Cited By

View all
  • (2024)CookAR: Affordance Augmentations in Wearable AR to Support Kitchen Tool Interactions for People with Low VisionProceedings of the 37th Annual ACM Symposium on User Interface Software and Technology10.1145/3654777.3676449(1-16)Online publication date: 13-Oct-2024
  • (2024)“Can It Be Customized According to My Motor Abilities?”: Toward Designing User-Defined Head Gestures for People with DystoniaProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642378(1-11)Online publication date: 11-May-2024
  • (2024)Take a Seat, Make a Gesture: Charting User Preferences for On-Chair and From-Chair Gesture InputProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642028(1-17)Online publication date: 11-May-2024
  • Show More Cited By

Index Terms

  1. Personalized, Wearable Control of a Head-mounted Display for Users with Upper Body Motor Impairments

    Recommendations

    Comments

    Please enable JavaScript to view thecomments powered by Disqus.

    Information & Contributors

    Information

    Published In

    cover image ACM Conferences
    CHI '15: Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems
    April 2015
    4290 pages
    ISBN:9781450331456
    DOI:10.1145/2702123
    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]

    Sponsors

    Publisher

    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 18 April 2015

    Permissions

    Request permissions for this article.

    Check for updates

    Author Tags

    1. mobile accessibility
    2. motor impairments
    3. wearables

    Qualifiers

    • Research-article

    Funding Sources

    Conference

    CHI '15
    Sponsor:
    CHI '15: CHI Conference on Human Factors in Computing Systems
    April 18 - 23, 2015
    Seoul, Republic of Korea

    Acceptance Rates

    CHI '15 Paper Acceptance Rate 486 of 2,120 submissions, 23%;
    Overall Acceptance Rate 6,199 of 26,314 submissions, 24%

    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

    • Downloads (Last 12 months)72
    • Downloads (Last 6 weeks)13
    Reflects downloads up to 14 Dec 2024

    Other Metrics

    Citations

    Cited By

    View all
    • (2024)CookAR: Affordance Augmentations in Wearable AR to Support Kitchen Tool Interactions for People with Low VisionProceedings of the 37th Annual ACM Symposium on User Interface Software and Technology10.1145/3654777.3676449(1-16)Online publication date: 13-Oct-2024
    • (2024)“Can It Be Customized According to My Motor Abilities?”: Toward Designing User-Defined Head Gestures for People with DystoniaProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642378(1-11)Online publication date: 11-May-2024
    • (2024)Take a Seat, Make a Gesture: Charting User Preferences for On-Chair and From-Chair Gesture InputProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642028(1-17)Online publication date: 11-May-2024
    • (2023)How Do People with Limited Movement Personalize Upper-Body Gestures? Considerations for the Design of Personalized and Accessible Gesture InterfacesProceedings of the 25th International ACM SIGACCESS Conference on Computers and Accessibility10.1145/3597638.3608430(1-15)Online publication date: 22-Oct-2023
    • (2023)Bring Environments to People – A Case Study of Virtual Tours in Accessibility Assessment for People with Limited MobilityProceedings of the 20th International Web for All Conference10.1145/3587281.3587292(96-103)Online publication date: 30-Apr-2023
    • (2023)An Expressivity-Complexity Tradeoff?: User-Defined Gestures from the Wheelchair Space are Mostly DeicticExtended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems10.1145/3544549.3585695(1-8)Online publication date: 19-Apr-2023
    • (2023)Understanding Wheelchair Users’ Preferences for On-Body, In-Air, and On-Wheelchair GesturesProceedings of the 2023 CHI Conference on Human Factors in Computing Systems10.1145/3544548.3580929(1-16)Online publication date: 19-Apr-2023
    • (2023)Inclusive Immersion: a review of efforts to improve accessibility in virtual reality, augmented reality and the metaverseVirtual Reality10.1007/s10055-023-00850-827:4(2989-3020)Online publication date: 1-Dec-2023
    • (2023)Building an Inclusive Metaverse: Opening Doors to a Brighter Digital FutureHCI International 2023 – Late Breaking Papers10.1007/978-3-031-48041-6_23(333-351)Online publication date: 2-Dec-2023
    • (2022)Methodological Standards in Accessibility Research on Motor Impairments: A SurveyACM Computing Surveys10.1145/354350955:7(1-35)Online publication date: 15-Dec-2022
    • Show More Cited By

    View Options

    Login options

    View options

    PDF

    View or Download as a PDF file.

    PDF

    eReader

    View online with eReader.

    eReader

    Media

    Figures

    Other

    Tables

    Share

    Share

    Share this Publication link

    Share on social media