skip to main content
10.1145/1085777.1085798acmotherconferencesArticle/Chapter ViewAbstractPublication PagesmobilehciConference Proceedingsconference-collections
Article

Mobile text entry: relationship between walking speed and text input task difficulty

Published:19 September 2005Publication History

ABSTRACT

The effect of key size on text entry on a handheld device while walking and standing was examined in order to answer the following questions: 1) Will the additional workload of walking amplify the effect of input difficulty? and 2) Can walking speed be used as a secondary task measure of mental workload during mobile text entry? 13 participants (7 males and 6 females) input well known sayings (sentences) in English into a handheld device in each of four size conditions, with the text input box ranging in width between 2 and 5 millimetres (mm). Text input speed increased with larger size of text box up to a size of 3mm, and text input speed was faster when standing (vs. walking). The effect of size did not depend on whether participants were walking or standing. Errors were significantly higher for the 2mm size condition but did not vary for the wider sizes, while subjective ease of input increased with increasing input box width, only crossing the midpoint of the rating scale (i.e., more easy than difficult) at an input box width of 3mm. Based on these results it is recommended that a minimum text input box width of 3mm be used for handheld text input. Walking speed during text entry in this study was relatively low (with a mean of 1.77 km/h) but width of text input box had no additional effect on walking speed over and above the general slowing caused by text entry. Thus the answers to both of the main questions posed in this study were in the negative, although the fact that people had to enter text slowed walking speed by a fixed amount (independent of level of input difficulty) that varied between individuals. Implications for measuring workload in mobile text entry tasks are discussed.

References

  1. Brewster, S., Lumsden, J., Bell, M., Hall, M., and Tasker, S. (2003). Multimodal 'Eyes-Free' Interaction Techniques for Wearable Devices. CHI Letters, 5(1), 473--480. Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. Fleetwood, M. D., Byrne, M. D., Centgraf, P., Dudziak, K. Q., Lin, B. and Mogilev, D. (2002). An evaluation of text-entry in Palm OS - Graffiti and the virtual keyboard. Proceedings of the Human Factors and Ergonomics Society 46th Annual Meeting, pp. 617--621.Google ScholarGoogle ScholarCross RefCross Ref
  3. Gould, J. D., Alfaro, L., Finn, R., Haupt, B. and Minuto, A. (1987). Reading from CRT displays can be as fast as reading from paper. Human Factors, 29(5), 497--517. Google ScholarGoogle ScholarDigital LibraryDigital Library
  4. Griffin M.J. and Hayward, R.A. (1994). Effects of horizontal whole-body vibration on reading. Applied Ergonomics, 25, 165--169.Google ScholarGoogle ScholarCross RefCross Ref
  5. Hancock, P., and Meshkati, N. (Eds.). (1988). Human Mental Workload. Amsterdam, Netherlands: Elsevier Science Publishers.Google ScholarGoogle Scholar
  6. Kahneman, D. (1973). Attention and Effort. Prentice Hall: Englewood Cliffs, NJ.Google ScholarGoogle Scholar
  7. Kjeldskov J. and Stage J. (2004) New Techniques for Usability Evaluation of Mobile Systems. International Journal of Human Computer Studies, 60, 599--620.Google ScholarGoogle ScholarCross RefCross Ref
  8. MacKenzie, I. S, Nonnecke, R. B., McQueen, J. C, Riddersma, S. and Meltz, M. (1994). A comparison of three methods of character entry on pen-based computers. Proceedings of the Human Factors and Ergonomics Society 38th Annual Meeting. pp. 330--334.Google ScholarGoogle ScholarCross RefCross Ref
  9. Mizobuchi, S., Mori, K., Ren, X. and Yasumura, M. (2002). An Empirical Study of the Minimum Required Size and the Number of Targets for Pen on the Small Display, Proceedings of Mobile HCI 2002, pp.184--194. Springer-Verlag. Google ScholarGoogle ScholarDigital LibraryDigital Library
  10. Mustonen, T., Olkkonen, M., and Häkkinen, J. (2004). Examining Mobile Phone Text Legibility while Walking. Proceedings of CHI 2004, pp. 1243--1246. N.Y.: ACM Press. Bowman, B., Debray, S. K., and Peterson, L. L. Reasoning about naming systems. ACM Trans. Program. Lang. Syst., 15, 5 (Nov. 1993), 795--825. Google ScholarGoogle ScholarDigital LibraryDigital Library
  11. Wickens, C., Gordon, S. E. and Liu, Y. (1998). An Introduction to Human Factors Engineering. New York: Longman. Google ScholarGoogle ScholarDigital LibraryDigital Library

Index Terms

  1. Mobile text entry: relationship between walking speed and text input task difficulty

      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 Other conferences
        MobileHCI '05: Proceedings of the 7th international conference on Human computer interaction with mobile devices & services
        September 2005
        400 pages
        ISBN:1595930892
        DOI:10.1145/1085777

        Copyright © 2005 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: 19 September 2005

        Permissions

        Request permissions about this article.

        Request Permissions

        Check for updates

        Qualifiers

        • Article

        Acceptance Rates

        Overall Acceptance Rate202of906submissions,22%

      PDF Format

      View or Download as a PDF file.

      PDF

      eReader

      View online with eReader.

      eReader