Mobile Context-Aware Support for Public Transportation Users

  • Esben von Buchwald
  • Jakob Eg Larsen
  • Roderick Murray-Smith


We present a fully functional location-aware application prototype named Relevant Service Suggestion System, which runs on an off-the-shelf Nokia 6210 Navigator. The system allows the user to point and probe to find the services needed, using the awareness of the user’s location and the measured compass bearing, in addition to a distance range chosen by a physical gesture. The main application tested in this paper is a system to support public transport users in Copenhagen. Users can point at any bus-stop or train station and be given timetables, next departure times, and buy a ticket via SMS direct to their phone. The requirements for text entry are minimal, due to the use of location, bearing and pose sensing.


Mobile Phone Mobile Application Train Station Public Transport User Physical Gesture 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.



We would like to thank the participants who took part in our experiments at the workshop and the user experience tests.


  1. 1.
    Ballagas, R., Kuntze, A., & Walz, S. P. (2008). Gaming tourism: lessons from evaluating REXplorer, a pervasive game for tourists. In LNCS. Pervasive ’08: Proc. of the 6th int. conference on pervasive computing Berlin: Springer. Google Scholar
  2. 2.
    Cheverst, K., Mitchell, K., Davies, N., & Smith, G. (2000). Exploiting context to support social awareness and social navigation. ACM SIGGROUP Bulletin, 21(3), 43–48. Google Scholar
  3. 3.
    Ferris, B., Watkins, K., & Borning A. (2010). OneBusAway: results from providing real-time arrival information for public transit. In Proceedings of CHI. Google Scholar
  4. 4.
    Fröhlich, P., Oulasvirta, A., Baldauf, M., & Nurminen, A. (2011). On the move, wirelessly connected to the world. Communications of the ACM, 54(1) Google Scholar
  5. 5.
    Holland, S., Morse, D., & Gedenryd H. (2002). AudioGPS: Spatial audio navigation with a minimal attention interface. Personal and Ubiquitous Computing, 6, 4. CrossRefGoogle Scholar
  6. 6.
    Jones, M., Jones, S., Bradley, G., Warren, N., Bainbridge, D., & Holmes, G. (2008). Ontrack: Dynamically adapting music playback to support navigation. Personal and Ubiquitous Computing, 12(7), 513–525. CrossRefGoogle Scholar
  7. 7.
  8. 8.
    Robinson, S., Eslambolchilar, P., & Jones, M. (2009). Exploring casual point-and-tilt interactions for mobile geo-blogging. Personal and Ubiquitous Computing. doi: 10.1007/s00779-009-0236-5. Google Scholar
  9. 9.
    Robinson, S., Eslambolchilar, P., & Jones, M. (2009). Sweep-Shake: Finding digital resources in physical environments. In Proceedings of MobileHCI. Bonn, September 2009. Google Scholar
  10. 10.
    Strachan, S., Eslambolchilar, P., Murray-Smith, R., Hughes, S., & O’Modhrain, S. (2005). gpsTunes: controlling navigation via audio feedback. In Proc. MobileHCI ’05 (pp. 275–278). CrossRefGoogle Scholar
  11. 11.
    Strachan, S., & Murray-Smith, R. (2009). Bearing-based selection in mobile spatial interaction. Personal and Ubiquitous Computing, 13(4), 265–280. CrossRefGoogle Scholar
  12. 12.
    Strachan, S., & Murray-Smith, R. (2009). Nonvisual, distal tracking of mobile remote agents in geosocial interaction. In LoCA, Tokyo. Google Scholar
  13. 13.
    Wikitude API.

Copyright information

© Springer-Verlag London Limited 2012

Authors and Affiliations

  • Esben von Buchwald
    • 1
  • Jakob Eg Larsen
    • 2
  • Roderick Murray-Smith
    • 3
  1. 1.DTU InformaticsTechnical University of DenmarkCopenhagenDenmark
  2. 2.DTU Informatics, Cognitive Systems SectionTechnical University of DenmarkCopenhagenDenmark
  3. 3.School of Computing ScienceUniversity of GlasgowGlasgowUK

Personalised recommendations