A User Study on the Capability of Three Geo-Based Features in Analyzing and Locating Trajectories

Visual analysis is widely applied to study human mobility due to the ability of integrating contextual information from multiple data sources. Analyzing trajectory data through visualization improves the efficiency and accuracy of the analysis, yet it may induce exposure of the location privacy. To balance the location privacy and analysis effectiveness, this work focuses on the behaviors of different geo-based contexts in the process of trajectory interpretation. Three types of geo-based contexts are identified after surveying 94 related literatures. The authors further conduct experiments to investigate their capability by evaluating how they benefit the analysis, and whether they lead to location privacy exposure. Finally, the authors report and discuss interesting findings, and provide guidelines to the design of privacy-preserving analysis approaches for human periodic trajectories.

Language

  • English

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Filing Info

  • Accession Number: 01718390
  • Record Type: Publication
  • Files: TLIB, TRIS
  • Created Date: Aug 29 2019 3:13PM