We present the Platformer Experience Dataset (PED) — the first open-access game facesexperience 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 web cameras and visual sensors and offer possibilities for holistic player experience modeling approaches that can, in turn, yield richer game personalization.

Super TuxThe dataset is made publicly available here and we encourage researchers to use it for testing their own player experience detectors.

The dataset is presented in the following paper (please cite our work if you use the dataset for your research):

  • K. Karpouzis, G. Yannakakis, N Shaker, S. Asteriadis. The Platformer Experience Dataset, Sixth Affective Computing and Intelligent Interaction (ACII) Conference, Xi’an, China, 21-24 September, 2015.


Further Reading



We would like to thank the 58 participants in this study for volunteering to take part in this experiment and accepted their data to be publicly available. This dataset was collected by Noor Shaker (Aalborg University) and Stylianos Asteriadis (Maastricht University)

Finally, we’d like to thank our funding body

  • The European Community’s Seventh Framework Program (FP7) under grant agreement no. 258453 (SIREN Project).EuropeanComissionSiren