Get 20M+ Full-Text Papers For Less Than $1.50/day. Subscribe now for You or Your Team.

Learn More →

Automatic Game Progression Design through Analysis of Solution Features

Automatic Game Progression Design through Analysis of Solution Features Experience Design for Games CHI 2015, Crossings, Seoul, Korea Automatic Game Progression Design through Analysis of Solution Features Eric Butler1 , Erik Andersen2 , Adam M. Smith1 , Sumit Gulwani3 , and Zoran Popovi´ 1 c 3 2 1 Microsoft Research Computer Science Center for Game Science Redmond, WA Cornell University Computer Science & Engineering sumitg@microsoft.com eland@cs.cornell.edu University of Washington {edbutler,amsmith,zoran}@cs.washington.edu ABSTRACT A long-term goal of game design research is to achieve endto-end automation of much of the design process, one aspect of which is creating effective level progressions. A key difficulty is getting the player to practice with interesting combinations of learned skills while maintaining their engagement. Although recent work in task generation and sequencing has reduced this effort, we still lack end-to-end automation of the entire content design process. We approach this goal by incorporating ideas from intelligent tutoring systems and proposing progression strategies that seek to achieve mastery of not only base concepts but arbitrary combinations of these concepts. The input to our system is a model of what the player needs to do to complete each level, expressed as either an imperative procedure for producing solutions or a representation of features common to all http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png

Automatic Game Progression Design through Analysis of Solution Features

Association for Computing Machinery — Apr 18, 2015

Loading next page...
/lp/association-for-computing-machinery/automatic-game-progression-design-through-analysis-of-solution-HdhU5f1g0A

References

References for this paper are not available at this time. We will be adding them shortly, thank you for your patience.

Datasource
Association for Computing Machinery
Copyright
Copyright © 2015 by ACM Inc.
ISBN
978-1-4503-3145-6
doi
10.1145/2702123.2702330
Publisher site
See Article on Publisher Site

Abstract

Experience Design for Games CHI 2015, Crossings, Seoul, Korea Automatic Game Progression Design through Analysis of Solution Features Eric Butler1 , Erik Andersen2 , Adam M. Smith1 , Sumit Gulwani3 , and Zoran Popovi´ 1 c 3 2 1 Microsoft Research Computer Science Center for Game Science Redmond, WA Cornell University Computer Science & Engineering sumitg@microsoft.com eland@cs.cornell.edu University of Washington {edbutler,amsmith,zoran}@cs.washington.edu ABSTRACT A long-term goal of game design research is to achieve endto-end automation of much of the design process, one aspect of which is creating effective level progressions. A key difficulty is getting the player to practice with interesting combinations of learned skills while maintaining their engagement. Although recent work in task generation and sequencing has reduced this effort, we still lack end-to-end automation of the entire content design process. We approach this goal by incorporating ideas from intelligent tutoring systems and proposing progression strategies that seek to achieve mastery of not only base concepts but arbitrary combinations of these concepts. The input to our system is a model of what the player needs to do to complete each level, expressed as either an imperative procedure for producing solutions or a representation of features common to all

There are no references for this article.