Feltwell, Tom and Dickinson, Patrick and Cielniak, Grzegorz (2012) A framework for quantitative analysis of user-generated spatial data. In: GAMEON '2012, 14-16 Nov 2012, Universida de Málaga, Málaga, Spain.

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Abstract

This paper proposes a new framework for automated analysis of game-play metrics for aiding game designers in finding out the critical aspects of the game caused by factors like design modications, change in playing style, etc. The core of the algorithm measures similarity between spatial distribution of user generated in-game events and automatically ranks them in order of importance. The feasibility of the method is demonstrated on a data set collected from a modern, multiplayer First Person Shooter, together with application examples of its use. The proposed framework can be used to accompany traditional testing tools and make the game design process more efficient.

Item Type:	Conference or Workshop Item (Paper)
Additional Information:	This paper proposes a new framework for automated analysis of game-play metrics for aiding game designers in finding out the critical aspects of the game caused by factors like design modications, change in playing style, etc. The core of the algorithm measures similarity between spatial distribution of user generated in-game events and automatically ranks them in order of importance. The feasibility of the method is demonstrated on a data set collected from a modern, multiplayer First Person Shooter, together with application examples of its use. The proposed framework can be used to accompany traditional testing tools and make the game design process more efficient.
Keywords:	Game Metrics, Spatial Data Analysis, First Person Shooter, Histogram Comparison
Subjects:	G Mathematical and Computer Sciences > G400 Computer Science
Divisions:	College of Sciences > Faculty of Science > Lincoln School of Computer Science
Depositing User:	Tom Feltwell
Date Deposited:	23 Nov 2012 11:02
Last Modified:	13 Mar 2013 09:19
URI:	http://eprints.lincoln.ac.uk/id/eprint/6889

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