Evaluation of an Augmented Photograph-Based Pedestrian Navigation System
Map interfaces are the quasi-standard for car navigation systems, and are usually the first choice for mobile pedestrian navigation systems. Alternatives are being investigated in research and industry that possibly suit the settings and needs of the person on foot better. One solution is augmented reality (AR), which blends navigation instructions with the view of the real world. However, research usually focuses too much on the technical implementation, leaving little time for a thorough assessment of the actual benefits of such a system. In this paper we present an evaluation of a mobile pedestrian navigation system prototype. The system provides a simplified augmented reality experience by presenting visually augmented photographs instead of a real-time video stream. We compare the usability of the AR interface with that of a map-based interface in a field evaluation. Our results challenge the map approach and suggest that AR is not only a serious alternative, but also potentially more suited for route presentation in PNS.
KeywordsAugment Reality Test Person Image Group Augment Reality System System Usability Scale
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- 1.Kolbe, T.H.: Augmented videos and panoramas for pedestrian navigation. In: Gartner, G. (ed.) Proceedings of the 2nd Symposium on Location Based Services and TeleCartography 2004, Vienna, January 28–29 (2004)Google Scholar
- 2.Aslan, I., Krüger, A.: The bum bag navigator (bbn): An advanced pedestrian navigation system. In: Workshop on Artificial Intelligence in Mobile Systems(AIMS) at UbiComp (2004)Google Scholar
- 3.Malaka, R., Zipf, A.: Deep map - challenging it research in the framework of a tourist information system. In: Fesenmaier, D., Klein, S., Buhalis, D. (eds.) Information and Communication Technologies in Tourism 2000, Proceedings of ENTER 2000, 7th. International Congress on Tourism and Communications Technologies in Tourism, Barcelona, Spain, pp. 15–27. Springer Computer Science, Wien, New York (2000)Google Scholar
- 4.Hermann, F., Heidmann, F.: Interactive maps on mobile, location-based systems: Design solutions and usability testing. In: Harris, D., Duffy, V., Smith, M., Stephanidis, C. (eds.) Proceedings of the 10th International Conference on Human-Computer Interaction, vol. 3, pp. 1258–1262 (2003)Google Scholar
- 6.Fröhlich, P., Simon, R., Baillie, L., Anegg, H.: Comparing conceptual designs for mobile access to geo-spatial information. In: MobileHCI 2006: Proceedings of the 8th conference on Human-computer interaction with mobile devices and services, pp. 109–112. ACM Press, New York (2006)CrossRefGoogle Scholar
- 8.Pyssysalo, T., Repo, T., Turunen, T., Lankila, T., Röning, J.: Cyphone - bringing augmented reality to next generation mobile phones. In: DARE 2000: Proceedings of DARE 2000 on Designing augmented reality environments, pp. 11–21 (2000)Google Scholar
- 9.Reitmayr, G., Schmalstieg, D.: Collaborative augmented reality for outdoor navigation and information browsing. In: Geowissenschaftliche Mitteilungen (Proc. 2nd Symposium on Location Based Services and TeleCartography), pp. 53–62 (2003)Google Scholar
- 10.Möhring, M., Lessig, C., Bimber, O.: Video see-through ar on consumer cell-phones. In: ISMAR 2004: Proceedings of the Third IEEE and ACM International Symposium on Mixed and Augmented Reality (ISMAR 2004), Washington, DC, USA, pp. 252–253. IEEE Computer Society, Los Alamitos (2004)CrossRefGoogle Scholar
- 11.Nokia Research Center: Mara – mobile augmented reality applications (accessed May 24, 2007) (2007), http://research.nokia.com/research/projects/mara/
- 12.Brooke, J.: 21. In: SUS - A quick and dirty usability scale, pp. 189–194. Taylor & Francis, Abington (1996)Google Scholar