Abstract
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.
Original language | English |
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Title of host publication | CHI 2014 |
Subtitle of host publication | One of a CHInd - Conference Proceedings, 32nd Annual ACM Conference on Human Factors in Computing Systems |
Place of Publication | New York |
Publisher | Association for Computing Machinery, Inc |
Pages | 361-370 |
Number of pages | 10 |
ISBN (Electronic) | 978-1-4503-2473-1 |
DOIs | |
Publication status | Published - 1 Jan 2014 |
Externally published | Yes |
Event | 32nd Annual ACM Conference on Human Factors in Computing Systems, CHI 2014 - Metro Toronto Convention Centre, Toronto, Canada Duration: 26 Apr 2014 → 1 May 2014 Conference number: 32 https://chi2014.acm.org/ |
Conference
Conference | 32nd Annual ACM Conference on Human Factors in Computing Systems, CHI 2014 |
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Abbreviated title | CHI 2014 |
Country/Territory | Canada |
City | Toronto |
Period | 26/04/14 → 1/05/14 |
Other | "One of a CHInd" |
Internet address |
Keywords
- Clustering
- Evaluation
- Games
- Heatmap
- Visualization