DocumentCode :
3546975
Title :
Spatial game analytics and visualization
Author :
Drachen, Anders ; Schubert, Martin
Author_Institution :
Coll. of Comput. & Inf. Sci., Northeastern Univ., Boston, MA, USA
fYear :
2013
fDate :
11-13 Aug. 2013
Firstpage :
1
Lastpage :
8
Abstract :
The recently emerged field of game analytics and the development and adaptation of business intelligence techniques to support game design and development has given data-driven techniques a direct role in game development. Given that all digital games contain some sort of spatial operation, techniques for spatial analysis had their share in these developments. However, the methods for analyzing and visualizing spatial and spatio-temporal patterns in player behavior being used by the game industry are not as diverse as the range of techniques utilized in game research, leaving room for a continuing development. This paper presents a review of current work on spatial and spatio-temporal game analytics across industry and research, describing and defining the key terminology, outlining current techniques and their application. We summarize the current problems and challenges in the field, and present four key areas of spatial and spatio-temporal analytics: Spatial Outlier Detection, Spatial Clustering, Spatial Predictive Models, Spatial Pattern and Rule Mining. All key areas are well-established outside the context of games and hold the potential to reshape the research roadmap in game analytics.
Keywords :
computer games; data analysis; data mining; data visualisation; pattern clustering; business intelligence techniques; data-driven techniques; digital games; game design; game development; game industry; game research; player behavior; research roadmap; rule mining; spatial clustering area; spatial game analytics; spatial game visualization; spatial outlier detection; spatial pattern; spatial predictive models; spatio-temporal patterns; Context; Data mining; Data visualization; Games; Heating; Telemetry; Trajectory; Telemetry; game design; game development; metrics;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence in Games (CIG), 2013 IEEE Conference on
Conference_Location :
Niagara Falls, ON
ISSN :
2325-4270
Print_ISBN :
978-1-4673-5308-3
Type :
conf
DOI :
10.1109/CIG.2013.6633629
Filename :
6633629
Link To Document :
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