Multivariate Visualization of Game Metrics: An Evaluation of Hexbin Maps

Günter Wallner, Simone Kriglstein

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

Abstract

Visualizations have become a relevant instrument in games user research and analytics as well as for players to facilitate the analysis of behavioral data, including the evaluation of spatial game metrics. A fundamental task in this respect is to understand how different metrics vary across the game environment and how they relate to each other. In this paper, we evaluate a visualization based on hexagonal binning paired with visual glyphs to represent multivariate information. To study how much information can be encoded in a reasonable manner we created variants with varying complexity and measured correctness and efficiency for different types of tasks through an online study (N = 197). Our results indicate that players appreciated the clear display of multivariate data but that correctness and efficiency were also largely influenced by the visual coding and the task at hand. Based on gained insights, we discuss implications for the design of such and similar gameplay visualizations.
Original languageEnglish
Title of host publicationCHI PLAY '20: Proceedings of the Annual Symposium on Computer-Human Interaction in Play
PublisherAssociation for Computing Machinery, Inc
Pages572–584
Number of pages13
ISBN (Electronic)9781450380744
DOIs
Publication statusPublished - 2 Nov 2020

Keywords

  • hexbin maps
  • information visualization
  • user study
  • visual game analytics
  • visualization efficiency

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