skip to main content
10.1145/1409240.1409253acmotherconferencesArticle/Chapter ViewAbstractPublication PagesmobilehciConference Proceedingsconference-collections
research-article

Getting off the treadmill: evaluating walking user interfaces for mobile devices in public spaces

Authors Info & Claims
Published:02 September 2008Publication History

ABSTRACT

Using a mobile device while moving limits attention and motor ability and can result in reduced performance. Mobile devices that can sense and adapt to contextual factors such as movement may reduce this performance deficit. We performed two studies evaluating the feasibility of walking user interfaces (WUIs) that adapt their layout when the user is moving. In a pilot study with 6 users, we evaluated the effects of different button sizes on performance when walking while using a portable music player. Results showed significant interactions between size and movement. In the second study, 29 users evaluated the performance of a WUI that dynamically changed button sizes as the user moved. Results show that our dynamic user interface performs at the level of its component static interfaces without any additional penalty due to adaptation. This work adds to our design knowledge about walking user interfaces and provides lessons learned in evaluating mobile devices while walking in public spaces.

References

  1. Barnard, L., Yi, J. S., Jacko, J. A. and Sears, A. (2007). Capturing the effects of context on human performance in mobile computing systems. Personal and Ubiquitous Computing, 11 (2), 81--96. Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. Brewster, S. (2002). Overcoming the lack of screen space on mobile computers. Personal and Ubiquitous Computing, 6 (3), Springer, 188--205. Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. Brewster, S., Lumsden, J., Bell, M., Hall, M. and Tasker, S. (2003). Multimodal 'eyes-free' interaction techniques for wearable devices. In Proc. CHI '03. New York: ACM Press, 473--480. Google ScholarGoogle ScholarDigital LibraryDigital Library
  4. Dong, L., Watters, C. and Duffy, J. (2005). Comparing two one-handed access methods on a PDA. In Proc. MobileHCI '05. New York: ACM Press, 235--238. Google ScholarGoogle ScholarDigital LibraryDigital Library
  5. Findlater, L. and McGrenere, J. (2004). A comparison of static, adaptive, and adaptable menus. In Proc. CHI '04. New York: ACM Press, 89--96. Google ScholarGoogle ScholarDigital LibraryDigital Library
  6. Karlson, A. K. and Bederson, B. B. (2007). ThumbSpace: Generalized one-handed input for touchscreen-based mobile devices. In Proc. INTERACT 2007. New York: Springer, 324--338. Google ScholarGoogle ScholarDigital LibraryDigital Library
  7. Kjeldskov, J. and Stage, J. (2004). New techniques for usability evaluation of mobile systems. International Journal of Human-Computer Studies, 60 (5--6). Amsterdam: Elsevier, 599--620.Google ScholarGoogle Scholar
  8. Kristoffersen, S. and Ljungberg, F. (1999). "Making place" to make IT work: Empirical explorations of HCI for mobile CSCW. In Proc. GROUP '99. New York: ACM Press, 276--285. Google ScholarGoogle ScholarDigital LibraryDigital Library
  9. Lin, M., Price, K. J., Goldman, R., Sears, A. and Jacko, J. (2005). Tapping on the move -- Fitts' Law under mobile conditions. In Proc. IRMA '05. Hershey, PA: Idea Group Publishing, 132--135.Google ScholarGoogle Scholar
  10. Lin, M., Goldman, R., Price, K. J., Sears, A. and Jacko, J. (2007). How do people tap when walking? An empirical investigation of nomadic data entry. International Journal of Human-Computer Studies, 65 (9), 759--769. Google ScholarGoogle ScholarDigital LibraryDigital Library
  11. Mackay, B., Dearman, D., Inkpen, K. and Watters, C. (2005). Walk 'n scroll: a comparison of software-based navigation techniques for different levels of mobility. In Proc. MobileHCI '05. New York: ACM Press, 183--190. Google ScholarGoogle ScholarDigital LibraryDigital Library
  12. McGrenere, J., Baecker, R. M. and Booth, K. S. (2002). An evaluation of a multiple interface design solution for bloated software. In Proc. CHI '02. New York: ACM Press, 164--170. Google ScholarGoogle ScholarDigital LibraryDigital Library
  13. Mitchell, J. and Shneiderman, B. (1989). Dynamic versus static menus: an exploratory comparison. SIGCHI Bulletin, 20 (4), 33--37. Google ScholarGoogle ScholarDigital LibraryDigital Library
  14. Mitrovic, N., Royo, J. A. and Mena, E. (2007). Performance analysis of an adaptive user interface system based on mobile agents. In Proc. DSV-IS '07. New York: ACM Press, 29--44.Google ScholarGoogle Scholar
  15. Mizobuchi, S., Chignell, M. and Newton, D. (2005). Mobile text entry: relationship between walking speed and text input task difficulty. In Proc. MobileHCI '05. New York: ACM Press, 122--128. Google ScholarGoogle ScholarDigital LibraryDigital Library
  16. Murray, M., Drought, A. B. and Kory, R. C. (1964). Walking patterns of normal men. The Journal of Bone and Joint Surgery, 46 (2), 335--360.Google ScholarGoogle ScholarCross RefCross Ref
  17. Mustonen, T., Olkkonen, M. and Hakkinen, J. (2004). Examining mobile phone text legibility while walking. In Proc. CHI '04. New York: ACM Press, 1243--1246. Google ScholarGoogle ScholarDigital LibraryDigital Library
  18. Newell, A. F. and Gregor, P. (2000). "User sensitive inclusive design"-- in search of a new paradigm. In Proc. CUU '00. New York: ACM Press, 39--44. Google ScholarGoogle ScholarDigital LibraryDigital Library
  19. Parhi, P., Karlson, A. K. and Bederson, B. B. (2006). Target size study for one-handed thumb use on small touchscreen devices. In Proc. MobileHCI '06. New York: ACM Press, 203--210. Google ScholarGoogle ScholarDigital LibraryDigital Library
  20. Pascoe, J., Ryan, N. and Morse, D. (2000). Using while moving: HCI issues in fieldwork environments. ACM Transactions on Computer-Human Interaction, 7 (3), 417--437. Google ScholarGoogle ScholarDigital LibraryDigital Library
  21. Sears, A., Lin, M., Jacko, J. and Xiao, Y. (2003). When computers fade: Pervasive computing and situationally-induced impairments and disabilities. In Proc. HCI Int'l '03. Mahwah, NJ: Lawrence Erlbaum Associates, 1298--1302.Google ScholarGoogle Scholar
  22. Vermunt, J. K. (1997). Log-linear Models for Event Histories. Thousand Oaks, CA: Sage Publications.Google ScholarGoogle Scholar
  23. Yi, J. S., Choi, Y. S., Jacko, J. A. and Sears, A. (2005). Context awareness via a single device-attached accelerometer during mobile computing. In Proc. MobileHCI '05. New York: ACM Press, 303--306. Google ScholarGoogle ScholarDigital LibraryDigital Library
  24. Zhao, S., Dragicevic, P., Chignell, M., Balakrishnan, R. and Baudisch, P. (2007). Earpod: eyes-free menu selection using touch input and reactive audio feedback. In Proc. CHI '07. New York: ACM Press, 1395--1404. Google ScholarGoogle ScholarDigital LibraryDigital Library

Index Terms

  1. Getting off the treadmill: evaluating walking user interfaces for mobile devices in public spaces

    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 '08: Proceedings of the 10th international conference on Human computer interaction with mobile devices and services
      September 2008
      568 pages
      ISBN:9781595939524
      DOI:10.1145/1409240

      Copyright © 2008 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: 2 September 2008

      Permissions

      Request permissions about this article.

      Request Permissions

      Check for updates

      Qualifiers

      • research-article

      Acceptance Rates

      Overall Acceptance Rate202of906submissions,22%

    PDF Format

    View or Download as a PDF file.

    PDF

    eReader

    View online with eReader.

    eReader