User guided movement analysis in games using semantic trajectories

Ruben Schertler, Simone Kriglstein, Günter Wallner

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

    10 Citations (Scopus)

    Abstract

    Understanding how players navigate through virtual worlds can offer useful guidance for map and level design of video games. One way to handle large-scale movement data obtained within games is by modelling movement as a sequence of visited locations instead of focusing on raw trajectory data. In this paper, we introduce a visualization approach for movement analysis based on semantic trajectories derived from a user-guided segmentation of the game environment. Based on this concept, the visualization offers an aggregated view of movement patterns together with the possibility to view individual paths for detailed inspection. We report on a user study with six experts from the game industry and compare the insights they have gleaned from the visualization with feedback from players. Our results indicate that the approach is successful in localizing problematic areas and that semantic trajectories can be a valuable addition to existing approaches for player movement analysis.
    Original languageEnglish
    Title of host publicationCHI PLAY '19 Proceedings of the Annual Symposium on Computer-Human Interaction in Play
    Place of PublicationNew York
    PublisherAssociation for Computing Machinery, Inc
    Pages613-623
    Number of pages11
    ISBN (Electronic)978-1-4503-6688-5
    DOIs
    Publication statusPublished - 17 Oct 2019
    Event6th ACM SIGCHI Annual Symposium on Computer-Human Interaction in Play, CHI PLAY 2019 - Barcelona, Spain
    Duration: 22 Oct 201925 Oct 2019
    https://chiplay.acm.org/2019/

    Conference

    Conference6th ACM SIGCHI Annual Symposium on Computer-Human Interaction in Play, CHI PLAY 2019
    Country/TerritorySpain
    CityBarcelona
    Period22/10/1925/10/19
    Internet address

    Keywords

    • Information visualization
    • Movement analysis
    • Semantic trajectories
    • User study
    • Visual game analytics

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