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

Shaker, N; Asteriadis, S; Yannakakis, GN; Karpouzis, K

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