Talks and Poster Presentations (with Proceedings-Entry):
S. Kriglstein, G. Wallner, M. Pohl:
"A User Study of Different Gameplay Visualizations";
Talk: ACM Conference on Human Factors in Computing Systems - CHI,
- 2014-05-01; in: "Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI)",
With the rising interest in multiplayer gaming, gameplay statistics have become an increasingly important aspect of the overall game experience for many players. As a part of this trend, visualizations have gained great popularity among players, in particular heatmaps since they allow them to reenact the course of a game and to develop new strategies. In this paper we report results of a user study conducted with 29 players (i) to investigate how players use heatmaps and two further graphical representations that use clustering algorithms to interpret gameplay and (ii) to assess the three representations in regard to time efficiency, correctness, suitability, and player preference. Our results show that heatmaps were mainly used to detect hot spots while the cluster representations proved useful to compare variables, allowing the players to uncover relationships between them and in turn allowing a deeper insight into the gameplay data.
Heatmap; Clustering; Evaluation; Visualization; Games
"Official" electronic version of the publication (accessed through its Digital Object Identifier - DOI)
Created from the Publication Database of the Vienna University of Technology.