skip to main content
10.1145/2037373.2037407acmotherconferencesArticle/Chapter ViewAbstractPublication PagesmobilehciConference Proceedingsconference-collections
research-article

Pedestrian navigation with degraded GPS signal: investigating the effects of visualizing position uncertainty

Published:30 August 2011Publication History

ABSTRACT

GPS-based pedestrian navigation can be difficult when GPS position readings are inaccurate or unavailable. In this paper, we report on a user study we carried out to investigate whether different visualizations of the uncertainty associated to user position can help users navigate outdoors when the GPS signal is degraded. In the study, we compared a basic visualization that displays only the last accurate position of the user during GPS signal degradation, and two visualizations that dynamically estimate the area where the user might be, displaying it respectively as a circle and as colored street segments. While we did not find any difference among the three visualizations in terms of the accuracy with which users assessed their position, we found that the "streets coloring" visualization required a significantly lower workload compared to the basic visualization and was perceived to be more beneficial by users.

References

  1. Bahl, P., and Padmanabhan, V. RADAR: an in-building RF-based user location and tracking system. In Proc. Joint Conference of the IEEE Computer and Communications Societies, vol. 2, IEEE Press (2000), 775--784.Google ScholarGoogle ScholarCross RefCross Ref
  2. Baus, J., Cheverst, K., and Kray, C. A survey of map-based mobile guides. In Map-based mobile services - Theories, Methods, and Implementations, L. Meng, A. Zipf, and T. Reichenbacher, Eds., Springer-Verlag (2005), 197--216.Google ScholarGoogle Scholar
  3. Baus, J., Kruger, A., and Wahlster, W. A resource-adaptive mobile navigation system. In Proc. Conference on Intelligent User Interfaces (IUI 2002), ACM Press (2002), 15--22. Google ScholarGoogle ScholarDigital LibraryDigital Library
  4. Burigat, S., and Chittaro, L. Geographic data visualization on mobile devices for user's navigation and decision support activities. In Spatial Data on the Web Modeling and Management, A. Belussi, B. Catania, E. Clementini, and E. Ferrari, Eds., Springer (2007), 261--284.Google ScholarGoogle Scholar
  5. Cao, A., Chintamani, K., Pandya, A., and Ellis, R. Nasa tlx: software for assessing subjective mental workload. Behavior Research Methods 41, 1 (2009), 113--117.Google ScholarGoogle ScholarCross RefCross Ref
  6. Chen, M., Sohn, T., Chmelev, D., Haehnel, D., Hightower, J., Hughes, J., LaMarca, A., Potter, F., Smith, I., and Varshavsky, A. Practical metropolitan-scale positioning for gsm phones. In Proc. Conference on Ubiquitous computing (UbiComp 2006), Springer (2006), 225--242. Google ScholarGoogle ScholarDigital LibraryDigital Library
  7. Crabtree, A., Benford, S., Rodden, T., Greenhalg, C., Flintham, M., Anastasi, R., Drozd, A., Adams, M., Row-Farr, J., Tandavanitj, N., and Steed, A. Orchestrating a Mixed Reality Game On the Ground. In Proc. Conference on Human Factors in Computing Systems (CHI 2004), ACM Press (2004), 391--398. Google ScholarGoogle ScholarDigital LibraryDigital Library
  8. Dearman, D., Varshavsky, A., De Lara, E., and Truong, K. An exploration of location error estimation. In Proc. Conference on Ubiquitous computing (UbiComp 2007), Springer (2007), 181--198. Google ScholarGoogle ScholarDigital LibraryDigital Library
  9. Dekel, A., and Schiller, E. Drec: exploring indoor navigation with an un-augmented smart phone. In Proc. Conference on Human computer interaction with mobile devices and services (MobileHCI 2010), ACM Press (2010), 393--394. Google ScholarGoogle ScholarDigital LibraryDigital Library
  10. Dillemuth, J. Map design evaluation for mobile displays. Cartography and Geographic Information Science 32, 4 (2005), 285--301.Google ScholarGoogle ScholarCross RefCross Ref
  11. Hart, S., and Staveland, L. Development of NASA-TLX (Task Load Index): Results of Empirical and Theoretical Research. In Human Mental Workload, P. Hancock and N. Meshkati, Eds., vol. 52. North-Holland, 1988, 139--183.Google ScholarGoogle Scholar
  12. Hegarty, A., Richardson, A., Montello, D., Lovelace, K., and Subbiah, I. Development of a self-report measure of environmental spatial ability. Intelligence 30 (2002), 425--447.Google ScholarGoogle ScholarCross RefCross Ref
  13. Kray, C., Laakso, K., Elting, C., and Coors, V. Presenting route instructions on mobile devices. In Proc. Conference on Intelligent User Interfaces (IUI 2003), ACM Press (2003), 117--124. Google ScholarGoogle ScholarDigital LibraryDigital Library
  14. Ladstaetter, S., Luley, P., Almer, A., and Paletta, L. Multisensor data fusion for high accuracy positioning on mobile phones. In Proc. Conference on Human computer interaction with mobile devices and services (MobileHCI 2010), ACM Press (2010), 395--396. Google ScholarGoogle ScholarDigital LibraryDigital Library
  15. Lamarca, A., Chawathe, Y., Consolvo, S., Hightower, J., Smith, I., Scott, J., Sohn, T., Howard, J., Hughes, J., Potter, F., Tabert, J., Powledge, P., Borriello, G., and Schilit, B. Place Lab: device positioning using radio beacons in the wild. In Proc. Conference on Pervasive Computing, Springer (2005), 116--133. Google ScholarGoogle ScholarDigital LibraryDigital Library
  16. Lodha, S., Charaniya, A., Faaland, N., and Ramalingam, S. Visualization of spatio-temporal GPS uncertainty within a GIS environment. In Proc. SPIE Conference on Radar Sense Technology and Data Visualization, SPIE - The International Society for Optical Engineering (2002), 216--227.Google ScholarGoogle Scholar
  17. Mynbaev, D. Errors of an inertial navigation unit caused by ring laser gyro errors. In Proc. IEEE Symposium on Position, Location and Navigation, IEEE Press (1994), 833--838.Google ScholarGoogle ScholarCross RefCross Ref
  18. Nassar, S., Noureldin, A., and El-Sheimy, N. Improving positioning accuracy during kinematic DGPS outage periods using SINS/DGPS integration and SINS data de-noising. Survey Review 37, 294 (2004), 426--438.Google ScholarGoogle ScholarCross RefCross Ref
  19. Parkinson, B., and Spilker Jr., J. Global Positioning System: Theory and Applications. American Institute of Aeronautics, 1996.Google ScholarGoogle Scholar
  20. Semeniuk, L., and Noureldin, A. Bridging GPS outages using neural network estimates of INS position and velocity errors. Measurement Science and Technology 17, 10 (2006), 2783--2798.Google ScholarGoogle ScholarCross RefCross Ref
  21. Skeels, M., Lee, B., Smith, G., and Robertson, G. Revealing uncertainty for information visualization. In Proc. Conference on Advanced visual interfaces (AVI 2008), ACM Press (2008), 376--379. Google ScholarGoogle ScholarDigital LibraryDigital Library
  22. Varshavsky, A., Chen, M., de Lara, E., Froehlich, J., Haehnel, D., Hightower, J., LaMarca, A., Potter, F., Sohn, T., Tang, K., and Smith, I. Are GSM Phones THE Solution for Localization? In Proc. IEEE Workshop on Mobile Computing Systems & Applications, IEEE Press (2006), 20--28. Google ScholarGoogle ScholarDigital LibraryDigital Library

Index Terms

  1. Pedestrian navigation with degraded GPS signal: investigating the effects of visualizing position uncertainty

          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 '11: Proceedings of the 13th International Conference on Human Computer Interaction with Mobile Devices and Services
            August 2011
            781 pages
            ISBN:9781450305419
            DOI:10.1145/2037373

            Copyright © 2011 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: 30 August 2011

            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