Navigating indoors using decision points

Abstract

We present a novel user interface concept for indoor navigation which uses directional arrows and panorama images of decision points, such as turns, along the route. The interface supports the mental model of landmark-based navigation, can be used on- and offline, and is highly tolerant to localization inaccuracy. We evaluated the system in a real-world user study where decision points proved to be as efficient for navigation as continuous route instructions and panorama updates. We gained valuable insights on the role of feedback and of the frequency of decision points with relation to user confidence and satisfaction. Based on our experiences, we summarize lessons learned that inspire and guide the further design of UIs for pedestrian navigation systems in indoor environments. © 2013 Springer-Verlag Berlin Heidelberg.