Please use this identifier to cite or link to this item: https://www.um.edu.mt/library/oar/handle/123456789/22943
Title: Optimization of platform game levels for player experience
Authors: Pedersen, Chris
Togelius, Julian
Yannakakis, Georgios N.
Keywords: Video games
Human-computer interaction
Issue Date: 2009
Publisher: ACM Publications
Citation: Pedersen, C., Togelius, J., & Yannakakis, G. N. (2009). Optimization of platform game levels for player experience. Fifth AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, California. 191-192.
Abstract: We demonstrate an approach to modelling the effects of certain parameters of platform game levels on the players' experience of the game. A version of Super Mario Bros has been adapted for generation of parameterized levels, and experiments are conducted over the web to collect data on the relationship between level design parameters and aspects of player experience. These relationships have been learned using preference learning of neural networks. The acquired models will form the basis for artificial evolution of game levels that elicit desired player emotions.
URI: https://www.um.edu.mt/library/oar//handle/123456789/22943
Appears in Collections:Scholarly Works - InsDG

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