Paper Info
Title
Experimental evaluation of user interfaces for visual indoor navigation
Abstract
Mobile location recognition by capturing images of the environment (visual localization) is a promising technique for indoor navigation in arbitrary surroundings. However, it has barely been investigated so far how the user interface (UI) can cope with the challenges of the vision-based localization technique, such as varying quality of the query images. We implemented a novel UI for visual localization, consisting of Virtual Reality (VR) and Augmented Reality (AR) views that actively communicate and ensure localization accuracy. If necessary, the system encourages the user to point the smartphone at distinctive regions to improve localization quality. We evaluated the UI in a experimental navigation task with a prototype, informed by initial evaluation results using design mockups. We found that VR can contribute to efficient and effective indoor navigation even at unreliable location and orientation accuracy. We discuss identified challenges and share lessons learned as recommendations for future work.
Year
DOI
Venue
2014
10.1145/2556288.2557003
CHI
Keywords
Field
DocType
indoor navigation,vision-based localization technique,experimental evaluation,user interface,effective indoor navigation,visual localization,localization accuracy,visual indoor navigation,experimental navigation task,novel ui,virtual reality,augmented reality,localization quality,mobile interaction
Mobile location,Virtual reality,Visual localization,Computer science,Augmented reality,Human–computer interaction,Mobile robot navigation,Mobile interaction,User interface,Multimedia
Conference
Citations 
PageRank 
References 
11
0.59
16
Authors
8
Name
Order
Citations
PageRank
Andreas Möller122218.35
Matthias Kranz244237.93
Stefan Diewald317915.37
Luis Roalter420817.19
Robert Huitl51428.35
Tobias Stockinger6384.82
Marion Koelle7759.89
Patrick A. Lindemann8110.59