Adapting Navigation Support to Location Information Quality: A Human Centered Approach

Champika Ranasinghe, Christian Kray

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

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Abstract

Variations in the quality of location information can negatively affect the users of pedestrian navigation support systems (PNSS). Current approaches to handle these variations mainly focus on improving the quality of location information by improving sensor technology and improving localization algorithms. This research introduces a different approach called "Adaptation to Quality" that adapts the behavior and output of the navigation application to the level of quality. Rather than treating location quality variations as exceptions or trying to improve the quality of location information, adaptation to quality focuses on still providing continuous navigation
support even when the location quality is very low or when location information is no longer available. We carried out a series of experiments to investigate ways to facilitate Adaptation to Quality. This paper summarizes the findings and insights.
Original languageEnglish
Title of host publicationAdjunct Proceedings of the 15th International Conference on Location Based Services (LBS 2019), LBS 2019, 11–13 November 2019, Vienna, Austria
EditorsGeorg Gartner, Haosheng Huang
Place of PublicationVienna
PublisherVienna University of Technology
Pages71-83
Publication statusPublished - Nov 2019
Externally publishedYes

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