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A game-based corpus for analysing the interplay between game context and player experience

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dc.contributor.author Shaker, N en
dc.contributor.author Asteriadis, S en
dc.contributor.author Yannakakis, GN en
dc.contributor.author Karpouzis, K en
dc.date.accessioned 2014-03-01T02:52:49Z
dc.date.available 2014-03-01T02:52:49Z
dc.date.issued 2011 en
dc.identifier.issn 03029743 en
dc.identifier.uri https://dspace.lib.ntua.gr/xmlui/handle/123456789/36098
dc.subject game-based corpus en
dc.subject player behavior en
dc.subject player experience en
dc.subject player's affective state en
dc.subject.other Affective state en
dc.subject.other game-based corpus en
dc.subject.other Human players en
dc.subject.other Player behavior en
dc.subject.other Player experience en
dc.subject.other Research studies en
dc.subject.other User feature en
dc.subject.other Video game en
dc.subject.other Video sessions en
dc.subject.other Intelligent computing en
dc.subject.other Video recording en
dc.subject.other Human computer interaction en
dc.title A game-based corpus for analysing the interplay between game context and player experience en
heal.type conferenceItem en
heal.identifier.primary 10.1007/978-3-642-24571-8_68 en
heal.identifier.secondary http://dx.doi.org/10.1007/978-3-642-24571-8_68 en
heal.publicationDate 2011 en
heal.abstract Recognizing players' affective state while playing video games has been the focus of many recent research studies. In this paper we describe the process that has been followed to build a corpus based on game events and recorded video sessions from human players while playing Super Mario Bros. We present different types of information that have been extracted from game context, player preferences and perception of the game, as well as user features, automatically extracted from video recordings. We run a number of initial experiments to analyse players' behavior while playing video games as a case study of the possible use of the corpus. © 2011 Springer-Verlag. en
heal.journalName Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) en
dc.identifier.doi 10.1007/978-3-642-24571-8_68 en
dc.identifier.volume 6975 LNCS en
dc.identifier.issue PART 2 en
dc.identifier.spage 547 en
dc.identifier.epage 556 en


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