Please use this identifier to cite or link to this item:
Title: Crowd-sourcing the aesthetics of platform games
Authors: Shaker, Noor
Yannakakis, Georgios N.
Togelius, Julian
Keywords: Crowdsourcing
Computer games -- Aesthetics
Human-computer interaction
Super Mario Bros. (Game)
Issue Date: 2013
Publisher: Institute of Electrical and Electronics Engineers Inc.
Citation: Shaker, N., Yannakakis, G. N., & Togelius, J. (2013). Crowdsourcing the aesthetics of platform games. IEEE Transactions on Computational Intelligence and AI in Games, 5(3), 276-290.
Abstract: What are the aesthetics of platform games and what makes a platform level engaging, challenging and/or frustrating? We attempt to answer such questions through mining a large-set of crowd-sourced gameplay data of a clone of the classic platform game Super Mario Bros. The data consists of 40 short game levels that differ along six key level design parameters. Collectively, these levels are played 1560 times over the Internet and the perceived experience is annotated by experiment participants via self-reported ranking (pairwise preferences). Given the wealth of this crowd-sourced data, as all details about players’ in-game behaviour are logged, the problem becomes one of extracting meaningful numerical features at the appropriate level of abstraction for the construction of generic computational models of player experience and, thereby, game aesthetics. We explore dissimilar types of features, including direct measurements of event and item frequencies, and features constructed through frequent sequence mining and go through an in-depth analysis of the interrelationship between level content, player’s behavioural patterns and reported experience. Furthermore, the fusion of the extracted features allows us to predict reported player experience with a high accuracy even from short game segments. In addition to advancing our insight on the factors that contribute to platform game aesthetics, the results are useful for the personalisation of game experience via automatic game adaptation.
Description: The authors would like to thank all subjects that participated in the experiments.
Appears in Collections:Scholarly Works - InsDG

Files in This Item:
File Description SizeFormat 
Crowd-sourcing_the_aesthetics_of_platform_games_2013.pdf679.94 kBAdobe PDFView/Open

Items in OAR@UM are protected by copyright, with all rights reserved, unless otherwise indicated.