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

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
CountrySpain
CityBarcelona
Period22/10/1925/10/19
Internet address

Keywords

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

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  • Cite this

    Schertler, R., Kriglstein, S., & Wallner, G. (2019). User guided movement analysis in games using semantic trajectories. In CHI PLAY '19 Proceedings of the Annual Symposium on Computer-Human Interaction in Play (pp. 613-623). Association for Computing Machinery, Inc. https://doi.org/10.1145/3311350.3347156