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Title: A game-based corpus for analysing the interplay between game context and player experience
Authors: Shaker, Noor
Asteriadis, Stylianos
Yannakakis, Georgios N.
Karpouzis, Kostas
Keywords: Computer games
Human-computer interaction
Issue Date: 2011
Publisher: Springer
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.
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.
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