Title:	Error-Robust Indoor Augmented Reality Navigation: Evaluation Criteria and a New Approach
Authors:	Scheibert, Oliver Möller, Jannis Grogorick, Steve Eisemann, Martin
Citation:	WSCG 2023: full papers proceedings: 1. International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision, p. 137-146.
Issue Date:	2023
Publisher:	Václav Skala - UNION Agency
Document type:	konferenční příspěvek conferenceObject
URI:	http://hdl.handle.net/11025/54419
ISBN:	978-80-86943-32-9
ISSN:	2464–4617 (print) 2464–4625 (CD/DVD)
Keywords:	rozšířená realita;robustní vnitřní navigace;zobrazovací techniky;vnímaná přesnost;chyba sledování
Keywords in different language:	augmented reality;robust indoor navigation;display techniques;perceived accuracy;tracking error
Abstract in different language:	Tracking errors severely impact the effectiveness of augmented reality display techniques for indoor navigation. In this work we take a look at the sources of error and accuracy of existing tracking technologies. We derive important design criteria for robust display techniques and present objective criteria that can be used to evaluate indoor navigation techniques without or in preparation of quantitative user studies. Based on these criteria we propose a new error tolerant display technique called Bending Words, where words move along the navigation path guiding the user. Bending Words outranks the other evaluated display techniques in many of the tested criteria and provides a robust, error-tolerant alternative to established augmented reality indoor navigation display techniques.
Rights:	© Václav Skala - UNION Agency
Appears in Collections:	WSCG 2023: Full Papers Proceedings

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