poster

Towards player-driven procedural content generation

Authors:

Georgios N. Yannakakis,

Julian TogeliusAuthors Info & Claims

CF '12: Proceedings of the 9th conference on Computing Frontiers

Pages 237 - 240

https://doi.org/10.1145/2212908.2212942

Published: 15 May 2012 Publication History

Abstract

Generating immersive game content is one of the ultimate goals for a game designer. This goal can be achieved by realizing the fact that players' perception of the same game differ according to a number of factors including: players' personality, playing styles, expertise and culture background. While one player might find the game immersive, others may quit playing as a result of encountering a seemingly insoluble problem. One promising avenue towards optimizing the gameplay experience for individual game players is to tailor player experience in real-time via automatic game content generation. Specifying the aspects of the game that have the major influence on the gameplay experience, identifying the relationship between these aspect and each individual experience and defining a mechanism for tailoring the game content according to each individual needs are important steps towards player-driven content generation.

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Cited By

Pfau JSeif El-Nasr M(2024)On Video Game Balancing: Joining Player- and Data-Driven AnalyticsGames: Research and Practice10.1145/36758072:3(1-30)Online publication date: 30-Aug-2024
https://dl.acm.org/doi/10.1145/3675807
Pfau JSeif El-Nasr M(2023)Balancing Video Games: A Player-Driven InstrumentCompanion Proceedings of the Annual Symposium on Computer-Human Interaction in Play10.1145/3573382.3616097(187-195)Online publication date: 6-Oct-2023
https://dl.acm.org/doi/10.1145/3573382.3616097
Pfau JSeif El-Nasr M(2023)Player-Driven Game Analytics: The Case of Guild Wars 2Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems10.1145/3544548.3581404(1-14)Online publication date: 19-Apr-2023
https://dl.acm.org/doi/10.1145/3544548.3581404
Show More Cited By

Index Terms

Towards player-driven procedural content generation
1. Computing methodologies
  1. Artificial intelligence

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Information & Contributors

Information

Published In

cover image ACM Conferences

CF '12: Proceedings of the 9th conference on Computing Frontiers

May 2012

320 pages

ISBN:9781450312158

DOI:10.1145/2212908

General Chair:
John Feo
Pacific Northwest National Laboratory, USA
,
Program Chairs:
Paolo Faraboschi
HP Labs, Spain
,
Oreste Villa
Pacific Northwest National Laboratory, USA

Copyright © 2012 Authors.

Sponsors

SIGMICRO: ACM Special Interest Group on Microarchitectural Research and Processing

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 15 May 2012

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CF'12: Computing Frontiers Conference

May 15 - 17, 2012

Cagliari, Italy

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Overall Acceptance Rate 273 of 785 submissions, 35%

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22nd ACM International Conference on Computing Frontiers

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Cited By

Pfau JSeif El-Nasr M(2024)On Video Game Balancing: Joining Player- and Data-Driven AnalyticsGames: Research and Practice10.1145/36758072:3(1-30)Online publication date: 30-Aug-2024
https://dl.acm.org/doi/10.1145/3675807
Pfau JSeif El-Nasr M(2023)Balancing Video Games: A Player-Driven InstrumentCompanion Proceedings of the Annual Symposium on Computer-Human Interaction in Play10.1145/3573382.3616097(187-195)Online publication date: 6-Oct-2023
https://dl.acm.org/doi/10.1145/3573382.3616097
Pfau JSeif El-Nasr M(2023)Player-Driven Game Analytics: The Case of Guild Wars 2Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems10.1145/3544548.3581404(1-14)Online publication date: 19-Apr-2023
https://dl.acm.org/doi/10.1145/3544548.3581404
Karpouzis KTsatiris G(2021)AI in (and for) GamesAdvances in Machine Learning/Deep Learning-based Technologies10.1007/978-3-030-76794-5_3(27-43)Online publication date: 6-Aug-2021
https://doi.org/10.1007/978-3-030-76794-5_3
Lessel PAltmeyer MBrauner NArnedo JNacke LVanden Abeele VToups Z(2019)Crowdjump: Investigating a Player-Driven Platform GameProceedings of the Annual Symposium on Computer-Human Interaction in Play10.1145/3311350.3347168(149-159)Online publication date: 17-Oct-2019
https://dl.acm.org/doi/10.1145/3311350.3347168
Catarino JMartinho C(2019)Procedural Progression Model for Smash Time2019 IEEE Conference on Games (CoG)10.1109/CIG.2019.8847964(1-8)Online publication date: Aug-2019
https://doi.org/10.1109/CIG.2019.8847964
Xie BZhang YHuang HOgawa EYou TYu L(2018)Exercise Intensity-Driven Level DesignIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2018.279361824:4(1661-1670)Online publication date: 1-Apr-2018
https://dl.acm.org/doi/10.1109/TVCG.2018.2793618
Baldwin AEriksson JOlsson C(2017)Bus Runner: Using Contextual Cues for Procedural Generation of Game Content on Public TransportHuman-Computer Interaction. Interaction Contexts10.1007/978-3-319-58077-7_2(21-34)Online publication date: 14-May-2017
https://doi.org/10.1007/978-3-319-58077-7_2
Abou-Zleikha MShaker NChristensen M(2015)Preference learning with evolutionary Multivariate Adaptive Regression Spline model2015 IEEE Congress on Evolutionary Computation (CEC)10.1109/CEC.2015.7257154(2184-2191)Online publication date: May-2015
https://doi.org/10.1109/CEC.2015.7257154

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