Abstract
Abstract. Human self-localisation is an important part of everyday life. In order to determine one’s own position and orientation, the allocentric representation, usually in the form of a map, has to be aligned with one’s own egocentric representation of the real world. This requires objects (anchor points) that are present in both representations. We present two novel approaches that aim to simplify the process of alignment and thus the self-localisation. The Viewshed approach is based on visibility analysis and the Image Recognition approach identifies objects and highlights them on the map. On the basis of an empirical experiment with 30 participants in the city of Vienna, Austria, the two approaches were compared with each other as well as with a standard approach using a 2D map representation. The goal is to assess and compare aspects like efficiency, user experience, and cognitive workload. Results show that the Image Recognition method provided the best support and was also most popular among users. The Viewshed method performed well below expectations.
Highlights
Wayfinding is an important part of everyday life
It is interesting to note that the standard deviation of time is by far the highest for the Viewshed method and the lowest for the Basic method
Prior studies have shown that the choice of suitable anchor points plays a decisive role for successful self-localization
Summary
Wayfinding is an important part of everyday life. It describes the process necessary to decide on a route from one’s own location to the destination and follow it (Gollege, 1999, p. 6). It describes the process necessary to decide on a route from one’s own location to the destination and follow it When using maps it is necessary to determine one’s own position and orientation both in the real world and on the map, e.g., after exiting public transportation. This determination is called self-localization (Kiefer et al, 2014). New technologies offer a multitude of possibilities to support users in self-localization. This raises the question of suitable methods in terms of simplicity and efficiency
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