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Title: The platformer experience dataset
Authors: Karpouzis, Kostas
Yannakakis, Georgios N.
Shaker, Noor
Asteriadis, Stylianos
Keywords: Human-computer interaction
Video games
Issue Date: 2015
Publisher: Institute of Electrical and Electronics Engineers Inc.
Citation: Karpouzis, K., Yannakakis, G. N., Shaker, N., & Asteriadis, S. (2015). The platformer experience dataset .2015 International Conference on Affective Computing and Intelligent Interaction (ACII), Xi’an.
Abstract: Player modeling and estimation of player experience have become very active research fields within affective computing, human computer interaction, and game artificial intelligence in recent years. For advancing our knowledge and understanding on player experience this paper introduces the Platformer Experience Dataset (PED) - the first open-access game experience corpus - that contains multiple modalities of user data of Super Mario Bros players. The open-access database aims to be used for player experience capture through context-based (i.e. game content), behavioral and visual recordings of platform game players. In addition, the database contains demographical data of the players and self-reported annotations of experience in two forms: ratings and ranks. PED opens up the way to desktop and console games that use video from webcameras and visual sensors and offer possibilities for holistic player experience modeling approaches that can, in turn, yield richer game personalization.
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