Spatiotemporal Behavior Profiling: A Treasure Hunt Case Study

V. de Graaff, Dieter Pfoser, Maurice van Keulen, R.A. de By

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Trajectories have been providing us with a wealth of derived information such as traffic conditions and road network updates. This work focuses on deriving user profiles through spatiotemporal analysis of trajectory data to provide insight into the quality of information provided by users. The presented behavior profiling method assesses user participation characteristics in a treasure-hunt type event. Consisting of an analysis and a profiling phase, analysis involves a timeline and a stay-point analysis, as well as a semantic trajectory inspection relating actual and expected paths. The analysis results are then grouped around profiles that can be used to estimate the user performance in the activity. The proposed profiling method is evaluated by means of a student orientation treasure-hunt activity at the University of Twente, The Netherlands. The profiling method is used to predict the students' gaming behavior by means of a simple team type classification, and a feature-based answer type classification.
Original languageEnglish
Title of host publicationWeb and Wireless Geographical Information Systems
Subtitle of host publication14th International Symposium, W2GIS 2015, Grenoble, France, May 21-22, 2015, Proceedings
EditorsJérôme Gensel, Martin Tomko
Place of PublicationBerlin
Number of pages16
ISBN (Electronic)978-3-319-18251-3
ISBN (Print)978-3-319-18250-6
Publication statusPublished - 21 May 2015
Event14th Web and Wireless Geographical Information Systems, W2GIS 2015 - Grenoble, France
Duration: 21 May 201522 May 2015
Conference number: 14

Publication series

NameLecture Notes in Computer Science


Conference14th Web and Wireless Geographical Information Systems, W2GIS 2015
Abbreviated titleW2GIS 2015


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