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dc.contributor.authorMarczak, Raphaëlen_NZ
dc.contributor.authorSchott, Gareth Richarden_NZ
dc.contributor.authorHanna, Pierreen_NZ
dc.date.accessioned2017-11-19T19:52:28Z
dc.date.available2016en_NZ
dc.date.available2017-11-19T19:52:28Z
dc.date.issued2016en_NZ
dc.identifier.citationMarczak, R., Schott, G. R., & Hanna, P. (2016). Sound similarity as a tool for understanding player experience: Applying similarity matrix to gameplay performance segmentation. Transactions of the Digital Games Research Association, 2(3), 221–242.en
dc.identifier.issn2328-9422en_NZ
dc.identifier.urihttps://hdl.handle.net/10289/11490
dc.description.abstractAnalytical accounts chronicling engagement with digital games can always benefit from empirical data outlining the patterns of behavior produced by different players as they engage with the same game, or similar sequence within a game. This paper presents an extension to a novel method, termed feedback-based gameplay metrics, which exploits the audio and visual output of an activated game to produce accounts of player performance. This paper offers an account of an affiliated method, based on similarity matrices, which is derived from the same measurement process and that has yet been applied to the interests of game studies (over design oriented research) to determine the similarity or diversity within encounters with particular games. This paper introduces the method and illustrates its potential applications in the analysis of performance.en_NZ
dc.format.mimetypeapplication/pdf
dc.language.isoen
dc.rightsTEXT: Licensed under Creative Commons Attribution (CC BY-NC- ND 2.5) http://creativecommons.org/licenses/by-nc- nd/2.5/ IMAGES: All images appearing in this work are property of the respective copyright owners, and are not released into the Creative Commons. The respective owners reserve all rights.
dc.subjectSimilarity matrixen_NZ
dc.subjectsound processingen_NZ
dc.subjectsound similarityen_NZ
dc.subjectplayer experienceen_NZ
dc.subjectgameplay performance segmentationen_NZ
dc.titleSound similarity as a tool for understanding player experience: Applying similarity matrix to gameplay performance segmentationen_NZ
dc.typeJournal Article
dc.relation.isPartOfTransactions of the Digital Games Research Associationen_NZ
pubs.begin-page221
pubs.elements-id144739
pubs.end-page242
pubs.issue3en_NZ
pubs.publication-statusPublisheden_NZ
pubs.volume2en_NZ


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