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DC Field | Value | Language |
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dc.contributor.author | Shaker, Noor | - |
dc.contributor.author | Asteriadis, Stylianos | - |
dc.contributor.author | Yannakakis, Georgios N. | - |
dc.contributor.author | Karpouzis, Kostas | - |
dc.date.accessioned | 2017-10-20T14:55:26Z | - |
dc.date.available | 2017-10-20T14:55:26Z | - |
dc.date.issued | 2011 | - |
dc.identifier.citation | Shaker N., Asteriadis S., Yannakakis G. N., & Karpouzis K. (2011). A game-based corpus for analysing the interplay between game context and player experience. In S. D’Mello, A. Graesser, B. Schuller, J. C. Martin (Eds.), Affective Computing and Intelligent Interaction. Lecture Notes in Computer Science. Berlin: Springer. | en_GB |
dc.identifier.uri | https://www.um.edu.mt/library/oar//handle/123456789/22903 | - |
dc.description.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. | en_GB |
dc.language.iso | en | en_GB |
dc.publisher | Springer | en_GB |
dc.rights | info:eu-repo/semantics/openAccess | en_GB |
dc.subject | Computer games | en_GB |
dc.subject | Human-computer interaction | en_GB |
dc.title | A game-based corpus for analysing the interplay between game context and player experience | en_GB |
dc.type | bookPart | en_GB |
dc.rights.holder | The copyright of this work belongs to the author(s)/publisher. The rights of this work are as defined by the appropriate Copyright Legislation or as modified by any successive legislation. Users may access this work and can make use of the information contained in accordance with the Copyright Legislation provided that the author must be properly acknowledged. Further distribution or reproduction in any format is prohibited without the prior permission of the copyright holder. | en_GB |
dc.description.reviewed | peer-reviewed | en_GB |
dc.identifier.doi | 10.1007/978-3-642-24571-8_68 | - |
Appears in Collections: | Scholarly Works - InsDG |
Files in This Item:
File | Description | Size | Format | |
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Lecture_Notes_in_Computer_Science.pdf | 605.99 kB | Adobe PDF | View/Open |
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