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

Noor Shaker, Stylianos Asteriadis, Georgios N. Yannakakis, Kostas Karpouzis

Research output: Chapter in Book/Report/Conference proceedingChapterAcademic


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.
Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Number of pages10
Publication statusPublished - 2011
Externally publishedYes

Publication series

SeriesLecture Notes in Computer Science
Volume6975 LNCS


  • game-based corpus
  • player behavior
  • player experience
  • player's affective state

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