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A mobile indoor navigation system interface adapted to vision-based localization
Technische Unviersität München.
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
Technische Unviersität München.
Technische Unviersität München.
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2012 (English)In: Proceedings of the 11th International Conference on Mobile and Ubiquitous Multimedia (MUM2012) / [ed] Enrico Rukzio, New York: ACM Digital Library, 2012Conference paper (Refereed)
Abstract [en]

Vision-based approaches for mobile indoor localization do not rely on the infrastructure and are therefore scalable and cheap. The particular requirements to a navigation user interface for a vision-based system, however, have not beeninvestigated so far. Such interfaces should adapt to localization accuracy, which strongly relies on distinctive reference images, and other factors, such as the phone's pose. If necessary, the system should motivate the user to point at distinctive regions with the smartphone to improve localization quality. We present a combined interface of Virtual Reality (VR) and Augmented Reality (AR) elements with indicators that communicate and ensure localization accuracy. In an evaluation with 81 participants, we found that AR was preferred in case of reliable localization, but with VR, navigation instructions were perceived more accurate in case of localization and orientation errors. The additional indicators showed a potential for making users choose

Place, publisher, year, edition, pages
New York: ACM Digital Library, 2012.
Research subject
Mobile and Pervasive Computing
URN: urn:nbn:se:ltu:diva-29370DOI: 10.1145/2406367.2406372Local ID: 2d45be83-eec2-438e-a684-cb738aa326baISBN: 978-1-4503-1815-0OAI: diva2:1002594
International Conference on Mobile and Ubiquitous Multimedia : 04/12/2012 - 06/12/2012
Godkänd; 2012; 20121012 (matkra)Available from: 2016-09-30 Created: 2016-09-30Bibliographically approved

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