skip to main content
10.1145/2470654.2470703acmconferencesArticle/Chapter ViewAbstractPublication PageschiConference Proceedingsconference-collections
research-article

Age-related differences in performance with touchscreens compared to traditional mouse input

Published:27 April 2013Publication History

ABSTRACT

Despite the apparent popularity of touchscreens for older adults, little is known about the psychomotor performance of these devices. We compared performance between older adults and younger adults on four desktop and touchscreen tasks: pointing, dragging, crossing and steering. On the touchscreen, we also examined pinch-to-zoom. Our results show that while older adults were significantly slower than younger adults in general, the touchscreen reduced this performance gap relative to the desktop and mouse. Indeed, the touchscreen resulted in a significant movement time reduction of 35% over the mouse for older adults, compared to only 16% for younger adults. Error rates also decreased.

References

  1. Chaparro, A., Bohan, M., Fernandez, J., Choi, S. D., Kattel, B. (1999). The impact of age on computer input device use: Psychophysical and physiological measures. Int'l J. of Industrial Ergonomics, 24, 503--513.Google ScholarGoogle ScholarCross RefCross Ref
  2. Charness, N., Holley, P., Feddon, J., Jastrzembski, T. (2004). Light pen use and practice minimize age and hand performance differences in pointing tasks. Human Factors, 46(3), 373--384.Google ScholarGoogle ScholarCross RefCross Ref
  3. Cockburn, A., Ahlström, D., Gutwin, C. (2012). Understanding performance in touch selections: Tap, drag and radial pointing drag with finger, stylus and mouse. IJHCS, 70(3), 218--233. Google ScholarGoogle ScholarDigital LibraryDigital Library
  4. Forlines, C., Wigdor, D., Shen, C., Balakrishnan, R. (2007). Direct-touch vs. mouse input for tabletop displays. Proc. CHI '07, 647--656. Google ScholarGoogle ScholarDigital LibraryDigital Library
  5. Holm, S. (1979). A simple sequentially rejective multiple test procedure. Scandinavian Journal of Statistics, 6(2), 65--70.Google ScholarGoogle Scholar
  6. International Organization for Standardization. (2002). Ergonomic requirements for office work with visual display terminals (VDTs) - Requirements for non-keyboard input devices. Ref. No. ISO 9241-9:2000(E).Google ScholarGoogle Scholar
  7. Ketcham, C. J., Seidler, R. D., Van Gemmert, A. W. A., Stelmach, G. E. (2002). Age-related kinematic differences as influenced by task difficulty, target size, and movement amplitude. Journal of Gerontology, 57(1), 54--64.Google ScholarGoogle ScholarCross RefCross Ref
  8. Kobayashi, M., Hiyama, A., Miura, T., Asakawa, C., Hirose, M., Ifukube, T. (2011). Elderly user evaluation of mobile touchscreen interactions. Proc. IFIP Interact 2011, 83--99. Google ScholarGoogle ScholarDigital LibraryDigital Library
  9. Leonardi, C., Albertini, A., Pianesi, F., Zancanaro, M. (2010). An exploratory study of a touch-based gestural interface for elderly. Proc. NordiCHI '10, 845--850. Google ScholarGoogle ScholarDigital LibraryDigital Library
  10. MacKenzie, I. S. and Isokoski, P. (2008). Fitts' throughput and the speed-accuracy tradeoff. Proc. CHI '08, 1633--1636. Google ScholarGoogle ScholarDigital LibraryDigital Library
  11. Parhi, P., Karlson, A. K., Bederson, B. B. (2006). Target size study for one-handed thumb use on small touchscreen devices. Proc. MobileHCI '06, 203--210. Google ScholarGoogle ScholarDigital LibraryDigital Library
  12. Piper, A. M., Campbell, R., Hollan, J. D. (2010). Exploring the accessibility and appeal of surface computing for older adult health care support. Proc. CHI 2010, 907--916. Google ScholarGoogle ScholarDigital LibraryDigital Library
  13. Rogers, W. A., Fisk, A. D., McLaughlin, A. C., & Pak, R. (2005). Touch a screen or turn a knob: Choosing the best device for the job. Human Factors, 47(2), 271--288.Google ScholarGoogle ScholarCross RefCross Ref
  14. Schneider, N., Wilkes, J., Grandt, M., Schlick, C. M. (2008). Investigation of input devices for the age-differentiated design of human-computer interaction. Proc. HFES, 52, 144--148.Google ScholarGoogle ScholarCross RefCross Ref
  15. Sears, A., Shneiderman, B. (1991). High precision touchscreens: design strategies and comparisons with a mouse. International J. of Man-Machine Studies, 34(4), 593--613. Google ScholarGoogle ScholarDigital LibraryDigital Library
  16. Smith, M. W., Sharit, J., Czaja, S. J. (1999). Aging, motor control, and the performance of computer mouse tasks. Human Factors, 41(3), 389--396.Google ScholarGoogle ScholarCross RefCross Ref
  17. Stößel, C., Blessing, L. (2010). Mobile Device Interaction Gestures for Older users. Proc. NordiCHI 2010, 793--796. Google ScholarGoogle ScholarDigital LibraryDigital Library
  18. Walker, N., Philbin, D. A., Fisk, A. D. (1997). Age-related differences in movement control: adjusting submovement structure to optimize performance. J. of Gerontology, 52B(1), 40--52.Google ScholarGoogle ScholarCross RefCross Ref
  19. Wood, E., Willoughby, T., Rushing, A., Bechtel, L., & Gilbert, J. (2005). Use of computer input devices by older adults. Journal of Applied Gerontology, 24(5), 419--438.Google ScholarGoogle ScholarCross RefCross Ref

Index Terms

  1. Age-related differences in performance with touchscreens compared to traditional mouse input

    Recommendations

    Comments

    Login options

    Check if you have access through your login credentials or your institution to get full access on this article.

    Sign in
    • Published in

      cover image ACM Conferences
      CHI '13: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
      April 2013
      3550 pages
      ISBN:9781450318990
      DOI:10.1145/2470654

      Copyright © 2013 ACM

      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]

      Publisher

      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 27 April 2013

      Permissions

      Request permissions about this article.

      Request Permissions

      Check for updates

      Qualifiers

      • research-article

      Acceptance Rates

      CHI '13 Paper Acceptance Rate392of1,963submissions,20%Overall Acceptance Rate6,199of26,314submissions,24%

      Upcoming Conference

      CHI '24
      CHI Conference on Human Factors in Computing Systems
      May 11 - 16, 2024
      Honolulu , HI , USA

    PDF Format

    View or Download as a PDF file.

    PDF

    eReader

    View online with eReader.

    eReader