DocumentCode :
743816
Title :
Postprocessing Gameplay Metrics for Gameplay Performance Segmentation Based on Audiovisual Analysis
Author :
Marczak, Raphael ; Schott, Gareth ; Hanna, Pierre
Author_Institution :
School of Arts, University of Waikato, New Zealand
Volume :
7
Issue :
3
fYear :
2015
Firstpage :
279
Lastpage :
291
Abstract :
This paper introduces a new variant of gameplay metrics that further develops a set of processes that expand user-centered game testing practices capable of quantifying user experiences. The key goal of the method presented here is to widen the appeal and application of game metrics within research relevant to, and representative of the wider field of game studies. In doing so, we acknowledge that the interests of this research community is often focused on player experience and performance with a broad range of off-the-shelf games that have already been released to the public. In order to be able to include any PC game system within research (or audiovideo stream, e.g., YouTube walkthroughs) our approach comprises of a postprocessing method for analyzing player performance. Through exploiting the audiovisual streams that are transmitted to the player, this approach processes content activated and generated during play and is therefore representative of individual player´s encounters with specific games.
Keywords :
Algorithm design and analysis; Coherence; Educational institutions; Games; Indexing; Measurement; Streaming media; Audiovisual segmentation; gameplay metrics; gameplay segmentation; player performance; sound analysis; video analysis;
fLanguage :
English
Journal_Title :
Computational Intelligence and AI in Games, IEEE Transactions on
Publisher :
ieee
ISSN :
1943-068X
Type :
jour
DOI :
10.1109/TCIAIG.2014.2382718
Filename :
6987353
Link To Document :
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