Multivariate Visualization of Game Metrics: An Evaluation of Hexbin Maps

Günter Wallner, Simone Kriglstein

Publikation: Beitrag in Buch oder TagungsbandVortrag mit Beitrag in TagungsbandBegutachtung

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.
OriginalspracheEnglisch
TitelProceedings of the Annual Symposium on Computer-Human Interaction in Play (CHI PLAY ´20)
Seiten572-584
Seitenumfang13
DOIs
PublikationsstatusVeröffentlicht - 2020
VeranstaltungAnnual Symposium on Computer-Human Interaction in Play (CHI PLAY' 20) -
Dauer: 2 Nov. 20204 Nov. 2020

Konferenz

KonferenzAnnual Symposium on Computer-Human Interaction in Play (CHI PLAY' 20)
Zeitraum2/11/204/11/20

Research Field

  • Experience Business Transformation

Schlagwörter

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

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