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Journal: Journal of Location Based Services

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Abbreviation

J. locat. based serv.

Publisher

Taylor & Francis

Journal Volumes

ISSN

1748-9733
1748-9725

Description

Search Results

Publications1 - 6 of 6
  • Wiedemann, Nina; Martin, Henry; Suel, Esra; et al. (2023)
    Journal of Location Based Services
    Location graphs, compact representations of human mobility without geocoordinates, can be used to personalise location-based services. While they are more privacy-preserving than raw tracking data, it was shown that they still hold a considerable risk for users to be re-identified solely by the graph topology. However, it is unclear how this risk depends on the tracking duration. Here, we consider a scenario where the attacker wants to match the new tracking data of a user to a pool of previously recorded mobility profiles, and we analyse the dependence of the re-identification performance on the tracking duration. We find that the re-identification accuracy varies between 0.41% and 20.97% and is affected by both the pool duration and the test-user tracking duration, it is greater if both have the same duration, and it is not significantly affected by socio-demographics such as age or gender, but can to some extent be explained by different mobility and graph features. Overall, the influence of tracking duration on user privacy has clear implications for data collection and storage strategies. We advise data collectors to limit the tracking duration or to reset user IDs regularly when storing long-term tracking data.
  • CLIPS
    Item type: Journal Article
    Tilch, Sebastian; Mautz, Rainer (2013)
    Journal of Location Based Services
  • Boos, Ursina Christina; Reichenbacher, Tumasch; Kiefer,Peter; et al. (2023)
    Journal of Location Based Services
    Ongoing urbanisation processes invoke immense construction activities, for which citizens often participate in planning. Yet, imagining planned buildings based on visual representations is a highly demanding task. While traditional methods, such as construction spans, 2D, or 3D visualisation often fail to offer a complete picture, we propose Augmented Reality (AR) as a more adequate tool. We first present an evaluation of the suitability of AR compared to construction spans for a future building and assess which degree of abstraction of AR is most effective, as well as difficulty of interpreting them correctly. In a between-subjects field study we compare construction spans and a prototype AR application including three levels of detail (LOD) of the same building project. Participants solve two estimation tasks using the construction spans and six estimation tasks using the AR application, before answering a questionnaire on the different visualisation methods. We find participants are confident about the potential of AR, but no significant differences between the different LOD groups in subjective assessment. Results suggest that previous knowledge (e.g. in GIS) may have a positive impact on dimension estimation performance. Also, details, such as façade elements or windows, could facilitate estimation tasks because they allow inferences about a building’s size.
  • Zhou, Caifa; Wieser, Andreas (2019)
    Journal of Location Based Services
  • Gkonos, Charalampos; Giannopoulos, Ioannis; Raubal, Martin (2017)
    Journal of Location Based Services
  • Huang, Haosheng; Gartner, Georg; Krisp, Jukka M.; et al. (2018)
    Journal of Location Based Services
Publications1 - 6 of 6