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Gaze-Informed location-based services

Published: 01 September 2017 Publication History

Abstract

Location-based services LBS provide more useful, intelligent assistance to users by adapting to their geographic context. For some services that context goes beyond a location and includes further spatial parameters, such as the user’s orientation or field of view. Here, we introduce Gaze-Informed LBS GAIN-LBS, a novel type of LBS that takes into account the user’s viewing direction. Such a system could, for instance, provide audio information about the specific building a tourist is looking at from a vantage point. To determine the viewing direction relative to the environment, we record the gaze direction relative to the user’s head with a mobile eye tracker. Image data from the tracker’s forward-looking camera serve as input to determine the orientation of the head w.r.t. the surrounding scene, using computer vision methods that allow one to estimate the relative transformation between the camera and a known view of the scene in real-time and without the need for artificial markers or additional sensors. We focus on how to map the point of regard of a user to a reference system, for which the objects of interest are known in advance. In an experimental validation on three real city panoramas, we confirm that the approach can cope with head movements of varying speed, including fast rotations up to to 63 degrees per second. We further demonstrate the feasibility of GAIN-LBS for tourist assistance with a proof-of-concept experiment in which a tourist explores a city panorama, where the approach achieved a recall that reaches over 99%. Finally, a GAIN-LBS can provide objective and qualitative ways of examining the gaze of a user based on what the user is currently looking at.

Cited By

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  • (2021)Geopositioned 3D Areas of Interest for Gaze Analysis13th International Conference on Automotive User Interfaces and Interactive Vehicular Applications10.1145/3409118.3475138(1-11)Online publication date: 9-Sep-2021
  • (2019)Gaze-Guided NarrativesProceedings of the 2019 CHI Conference on Human Factors in Computing Systems10.1145/3290605.3300721(1-12)Online publication date: 2-May-2019

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Information & Contributors

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Published In

cover image International Journal of Geographical Information Science
International Journal of Geographical Information Science  Volume 31, Issue 9
September 2017
210 pages
ISSN:1365-8816
EISSN:1365-8824
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Taylor & Francis, Inc.

United States

Publication History

Published: 01 September 2017

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Cited By

View all
  • (2021)Geopositioned 3D Areas of Interest for Gaze Analysis13th International Conference on Automotive User Interfaces and Interactive Vehicular Applications10.1145/3409118.3475138(1-11)Online publication date: 9-Sep-2021
  • (2019)Gaze-Guided NarrativesProceedings of the 2019 CHI Conference on Human Factors in Computing Systems10.1145/3290605.3300721(1-12)Online publication date: 2-May-2019

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