skip to main content
10.1145/2522848.2522874acmconferencesArticle/Chapter ViewAbstractPublication Pagesicmi-mlmiConference Proceedingsconference-collections
poster

Mo!Games: evaluating mobile gestures in the wild

Published:09 December 2013Publication History

ABSTRACT

The user experience of performing gesture-based interactions in public spaces is highly dependent on context, where users must decide which gestures they will use and how they will perform them. In order to complete a realistic evaluation of how users make these decisions, the evaluation of such user experiences must be completed "in the wild." Furthermore, studies need to be completed within different cultural contexts in order to understand how users might adopt gesture differently in different cultures. This paper presents such a study using a mobile gesture-based game, where users in the UK and India interacted with this game over the span of 6 days. The results of this study demonstrate similarities between gesture use in these divergent cultural settings, illustrate factors that influence gesture acceptance such as perceived size of movement and perceived accuracy, and provide insights into the interaction design of mobile gestures when gestures are distributed across the body.

References

  1. G. Corder and D. Foreman. Nonparametric statistics for non-statisticians: a step-by-step approach. Wiley, 2009.Google ScholarGoogle ScholarCross RefCross Ref
  2. D. Cramer. Introducing statistics for social research: step-by-step calculations and computer techniques using SPSS. Routledge, 1994. Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. A. Crossan, M. McGill, S. Brewster, and R. Murray-Smith. Head tilting for interaction in mobile contexts. In Proc. of MobileHCI '09, pages 6:1--6:10, New York, NY, USA, 2009. ACM. Google ScholarGoogle ScholarDigital LibraryDigital Library
  4. A. Crossan, J. Williamson, S. Brewster, and R. Murray-Smith. Wrist rotation for interaction in mobile contexts. In Proc. of MobileHCI '08, pages 435--438, New York, NY, USA, 2008. ACM. Google ScholarGoogle ScholarDigital LibraryDigital Library
  5. J. Freedman and S. Fraser. Compliance withouth pressure: The foot-in-the-door technique. Journal of Personality and Social Psychology, 4:195--202, 1996.Google ScholarGoogle ScholarCross RefCross Ref
  6. D. Freeman, H. Benko, M. R. Morris, and D. Wigdor. Shadowguides: visualizations for in-situ learning of multi-touch and whole-hand gestures. In Proc. of ITS '09, pages 165--172, New York, NY, USA, 2009. ACM. Google ScholarGoogle ScholarDigital LibraryDigital Library
  7. E. Hoggan and S. A. Brewster. Crosstrainer: testing the use of multimodal interfaces in situ. In Proc. of CHI '10, pages 333--342, New York, NY, USA, 2010. ACM. Google ScholarGoogle ScholarDigital LibraryDigital Library
  8. C. S. Montero, J. Alexander, M. T. Marshall, and S. Subramanian. Would you do that?: understanding social acceptance of gestural interfaces. In Proc. of MobileHCI '10, pages 275--278, New York, NY, USA, 2010. ACM. Google ScholarGoogle ScholarDigital LibraryDigital Library
  9. I. Oakley and S. O'Modhrain. Tilt to scroll: Evaluating a motion based vibrotactile mobile interface. In Proc. of WHC '05, pages 40--49, Washington, DC, USA, 2005. IEEE Computer Society. Google ScholarGoogle ScholarDigital LibraryDigital Library
  10. S. Reeves, S. Benford, C. O'Malley, and M. Fraser. Designing the spectator experience. In Proc. of CHI '05, pages 741--750, New York, NY, USA, 2005. ACM. Google ScholarGoogle ScholarDigital LibraryDigital Library
  11. J. Rico and S. Brewster. Usable gestures for mobile interfaces: evaluating social acceptability. In Proc. of CHI '10, pages 887--896, New York, NY, USA, 2010. ACM. Google ScholarGoogle ScholarDigital LibraryDigital Library
  12. S. Ronkainen, J. Häkkilä, S. Kaleva, A. Colley, and J. Linjama. Tap input as an embedded interaction method for mobile devices. In Proc. of TEI '07, pages 263--270, New York, NY, USA, 2007. ACM. Google ScholarGoogle ScholarDigital LibraryDigital Library
  13. J. Ruiz, Y. Li, and E. Lank. User-defined motion gestures for mobile interaction. In Proc. of CHI '11, pages 197--206, New York, NY, USA, 2011. ACM. Google ScholarGoogle ScholarDigital LibraryDigital Library
  14. S. Strachan, R. Murray-Smith, and S. O'Modhrain. Bodyspace: inferring body pose for natural control of a music player. In In CHI EA '07, pages 2001--2006, New York, NY, USA, 2007. ACM. Google ScholarGoogle ScholarDigital LibraryDigital Library
  15. M. Turunen, A. Melto, J. Hella, T. Heimonen, J. Hakulinen, E. Mäkinen, T. Laivo, and H. Soronen. User expectations and user experience with different modalities in a mobile phone controlled home entertainment system. In Proc. of MobileHCI '09, pages 31:1--31:4, New York, NY, USA, 2009. ACM. Google ScholarGoogle ScholarDigital LibraryDigital Library
  16. J. R. Wiliamson, A. Crossan, and S. Brewster. Multimodal mobile interactions: usability studies in real world settings. In Proc of ICMI 2011, pages 361--368, New York, NY, USA, 2011. ACM. Google ScholarGoogle ScholarDigital LibraryDigital Library
  17. J. Williamson. Continuous Uncertain Interaction. PhD thesis, University of Glasgow, 2006.Google ScholarGoogle Scholar
  18. J. Williamson, S. Robinson, C. Stewart, R. Murray-Smith, M. Jones, and S. Brewster. Social gravity: a virtual elastic tether for casual, privacy-preserving pedestrian rendezvous. In Proc. of CHI '10, pages 1485--1494, New York, NY, USA, 2010. ACM. Google ScholarGoogle ScholarDigital LibraryDigital Library

Index Terms

  1. Mo!Games: evaluating mobile gestures in the wild

    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
      ICMI '13: Proceedings of the 15th ACM on International conference on multimodal interaction
      December 2013
      630 pages
      ISBN:9781450321297
      DOI:10.1145/2522848

      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: 9 December 2013

      Permissions

      Request permissions about this article.

      Request Permissions

      Check for updates

      Qualifiers

      • poster

      Acceptance Rates

      ICMI '13 Paper Acceptance Rate49of133submissions,37%Overall Acceptance Rate453of1,080submissions,42%

    PDF Format

    View or Download as a PDF file.

    PDF

    eReader

    View online with eReader.

    eReader