TY - GEN
T1 - Persona-driven Dominant/Submissive Map (PDSM) Generation for Tutorials
AU - Green, Michael Cerny
AU - Khalifa, Ahmed
AU - Charity,
AU - Togelius, Julian
N1 - Publisher Copyright:
© 2022 ACM.
PY - 2022/9/5
Y1 - 2022/9/5
N2 - In this paper, we present a method for automated persona-driven video game tutorial level generation. Tutorial levels are scenarios in which the player can explore and discover different rules and game mechanics. Procedural personas can guide generators to create content which encourages or discourages certain playstyle behaviors. In this system, we use procedural personas to calculate the behavioral characteristics of levels which are evolved using the quality-diversity algorithm known as Constrained MAP-Elites. An evolved map's quality is determined by its simplicity: the simpler it is, the better it is. Within this work, we show that the generated maps can strongly encourage or discourage different persona-like behaviors and range from simple solutions to complex puzzle-levels, making them perfect candidates for a tutorial generative system.
AB - In this paper, we present a method for automated persona-driven video game tutorial level generation. Tutorial levels are scenarios in which the player can explore and discover different rules and game mechanics. Procedural personas can guide generators to create content which encourages or discourages certain playstyle behaviors. In this system, we use procedural personas to calculate the behavioral characteristics of levels which are evolved using the quality-diversity algorithm known as Constrained MAP-Elites. An evolved map's quality is determined by its simplicity: the simpler it is, the better it is. Within this work, we show that the generated maps can strongly encourage or discourage different persona-like behaviors and range from simple solutions to complex puzzle-levels, making them perfect candidates for a tutorial generative system.
KW - evolution
KW - experience driven level generation
KW - procedural level generation
KW - procedural persona
KW - quality diversity
UR - http://www.scopus.com/inward/record.url?scp=85142334244&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85142334244&partnerID=8YFLogxK
U2 - 10.1145/3555858.3555890
DO - 10.1145/3555858.3555890
M3 - Conference contribution
AN - SCOPUS:85142334244
T3 - ACM International Conference Proceeding Series
BT - Proceedings of the 17th International Conference on the Foundations of Digital Games, FDG 2022
A2 - Karpouzis, Kostas
A2 - Gualeni, Stefano
A2 - Fowler, Allan
PB - Association for Computing Machinery
T2 - 17th International Conference on the Foundations of Digital Games, FDG 2022
Y2 - 5 September 2022 through 8 September 2022
ER -