Towards Adapting a Content Orchestrator to a Different GameGenre: Generating Levels, Rules, and Narrative for Diverse Player Profiles from a Top-down Adventure to a 2D Platformer
Resumo
Procedural Content Generation for multiple game content facets is a challenge for the game industry and academia. A content orchestrator is a software that can manage different procedural content generators, mixing their outputs while maintaining coherence and feasibility. We adapted a content orchestrator, originally meant for a top-down adventure game, to a 2D platformer. Both versions procedurally generate Levels, Rules, and Narrative, while adapting to distinct player profiles. A pre-test questionnaire is used to evaluate the player profile, and a post-test questionnaire is used to evaluate the game prototype we developed for this experimental purpose and the procedurally generated content. Results show the game was fun, challenging, interesting to explore, and with a moderate difficulty. Although with a limited sample, our results indicate the system was able to target content based on profiles. Therefore, this is a first step into understanding how a content orchestrator can be adapted to different game genres.
Palavras-chave:
Procedural Content Generation, Content Orchestration, Game Levels, Game Narrative, Game Rules, Digital Games, Platformer
Referências
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Hartsook, K., Zook, A., Das, S., e Riedl, M. O. (2011). Toward supporting stories with procedurally generated game worlds. In 2011 IEEE Conference on Computational Intelligence and Games (CIG’11), pages 297–304.
Hojatoleslami, M. R., Zamanifar, K., e Zojaji, Z. (2024). Gfgda: general framework for generating dungeons with atmosphere. Multimedia Tools and Applications.
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Karavolos, D., Liapis, A., e Yannakakis, G. (2021). A multifaceted surrogate model for search-based procedural content generation. IEEE Transactions on Games, 13(1):11–22.
Koster, R. (2005). A Theory of Fun for Game Design. Paraglyph Press, Arizona.
Liapis, A., Yannakakis, G. N., Nelson, M. J., Preuss, M., e Bidarra, R. (2019). Orchestrating game generation. IEEE Transactions on Games, 11(1):48–68.
Lopes, P. L., Liapis, A., e Yannakakis, G. N. (2016). Framing tension for game generation. In International Conference on Innovative Computing and Cloud Computing.
Migkotzidis, P. e Liapis, A. (2022). Susketch: Surrogate models of gameplay as a design assistant. IEEE Transactions on Games, 14(2):273–283.
Pereira, L. T., Viana, B. M. F., e Toledo, C. F. M. (2022). A system for orchestrating multiple procedurally generated content for different player profiles. IEEE Transactions on Games, pages 1–11.
Salen, K. e Zimmerman, E. (2003). Rules of Play: Game Design Fundamentals. The MIT Press.
Sawilowsky, S. (2009). New effect size rules of thumb. Journal of Modern Applied Statistical Methods, 8:597–599.
Schell, J. (2008). The Art of Game Design: A book of lenses. Morgan Kaufmann.
Shaker, N., Togelius, J., e Nelson, M. J. (2016). Procedural Content Generation in Games: A Textbook and an Overview of Current Research. Springer.
Treanor, M., Blackford, B., Mateas, M., e Bogost, I. (2012). Game-o-matic: Generating videogames that represent ideas. In Proceedings of the The Third Workshop on Procedural Content Generation in Games, PCG’12, page 1–8, New York, NY, USA. Association for Computing Machinery.
Viana, B. M. F., Pereira, L. T., e Toledo, C. F. M. (2022). Illuminating the space of enemies through map-elites.
Yannakakis, G. N. e Togelius, J. (2018). Frontiers of Game AI Research, pages 279–291. Springer International Publishing, Cham.
Yee, N. (2006). Motivations for play in online games. CyberPsychology & Behavior, 9(6):772–775. PMID: 17201605.
Yee, N. e Ducheneaut, N. (2018). 485Gamer motivation profiling: uses and applications. In Games User Research. Oxford University Press.
Barros, G., Green, M., Liapis, A., e Togelius, J. (2018). Who killed albert einstein? from open data to murder mystery games. IEEE Transactions on Games, PP.
Browne, C. e Maire, F. (2010). Evolutionary game design. Computational Intelligence and AI in Games, IEEE Transactions on, 2:1 – 16.
Cook, M. e Colton, S. (2021). A rogue dream: Automatically generating meaningful content for games. Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, 10(3):2–7.
Cook, M., Colton, S., e Pease, A. (2021). Aesthetic considerations for automated platformer design. Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, 8(1):124–129.
Cook, M., Colton, S., Raad, A., e Gow, J. (2013). Mechanic miner: Reflection-driven game mechanic discovery and level design. In Esparcia-Alcázar, A. I., editor, Applications of Evolutionary Computation, pages 284–293, Berlin, Heidelberg. Springer Berlin Heidelberg.
Csikszentmihalyi, M. e Csikzentmihaly, M. (1990). Flow: The psychology of optimal experience, volume 1990. Harper & Row New York.
Green, M. C., Barros, G. A. B., Liapis, A., e Togelius, J. (2018). Data agent. In Proceedings of the 13th International Conference on the Foundations of Digital Games, FDG ’18, New York, NY, USA. Association for Computing Machinery.
Hartsook, K., Zook, A., Das, S., e Riedl, M. O. (2011). Toward supporting stories with procedurally generated game worlds. In 2011 IEEE Conference on Computational Intelligence and Games (CIG’11), pages 297–304.
Hojatoleslami, M. R., Zamanifar, K., e Zojaji, Z. (2024). Gfgda: general framework for generating dungeons with atmosphere. Multimedia Tools and Applications.
Hoover, A., Cachia, W., Liapis, A., e Yannakakis, G. (2015). Audioinspace: Exploring the creative fusion of generative audio, visuals and gameplay. In Carballal, A., Correia, J., e Johnson, C., editors, Evolutionary and Biologically Inspired Music, Sound, Art and Design - 4th International Conference, EvoMUSART 2015, Proceedings, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pages 101–112, Germany. Springer Verlag.
Karavolos, D., Liapis, A., e Yannakakis, G. (2021). A multifaceted surrogate model for search-based procedural content generation. IEEE Transactions on Games, 13(1):11–22.
Koster, R. (2005). A Theory of Fun for Game Design. Paraglyph Press, Arizona.
Liapis, A., Yannakakis, G. N., Nelson, M. J., Preuss, M., e Bidarra, R. (2019). Orchestrating game generation. IEEE Transactions on Games, 11(1):48–68.
Lopes, P. L., Liapis, A., e Yannakakis, G. N. (2016). Framing tension for game generation. In International Conference on Innovative Computing and Cloud Computing.
Migkotzidis, P. e Liapis, A. (2022). Susketch: Surrogate models of gameplay as a design assistant. IEEE Transactions on Games, 14(2):273–283.
Pereira, L. T., Viana, B. M. F., e Toledo, C. F. M. (2022). A system for orchestrating multiple procedurally generated content for different player profiles. IEEE Transactions on Games, pages 1–11.
Salen, K. e Zimmerman, E. (2003). Rules of Play: Game Design Fundamentals. The MIT Press.
Sawilowsky, S. (2009). New effect size rules of thumb. Journal of Modern Applied Statistical Methods, 8:597–599.
Schell, J. (2008). The Art of Game Design: A book of lenses. Morgan Kaufmann.
Shaker, N., Togelius, J., e Nelson, M. J. (2016). Procedural Content Generation in Games: A Textbook and an Overview of Current Research. Springer.
Treanor, M., Blackford, B., Mateas, M., e Bogost, I. (2012). Game-o-matic: Generating videogames that represent ideas. In Proceedings of the The Third Workshop on Procedural Content Generation in Games, PCG’12, page 1–8, New York, NY, USA. Association for Computing Machinery.
Viana, B. M. F., Pereira, L. T., e Toledo, C. F. M. (2022). Illuminating the space of enemies through map-elites.
Yannakakis, G. N. e Togelius, J. (2018). Frontiers of Game AI Research, pages 279–291. Springer International Publishing, Cham.
Yee, N. (2006). Motivations for play in online games. CyberPsychology & Behavior, 9(6):772–775. PMID: 17201605.
Yee, N. e Ducheneaut, N. (2018). 485Gamer motivation profiling: uses and applications. In Games User Research. Oxford University Press.
Publicado
30/09/2024
Como Citar
TEOI, Tyago Yuji; PEREIRA, Leonardo Tórtoro; TOLEDO, Claudio Fabiano Motta.
Towards Adapting a Content Orchestrator to a Different GameGenre: Generating Levels, Rules, and Narrative for Diverse Player Profiles from a Top-down Adventure to a 2D Platformer. In: SIMPÓSIO BRASILEIRO DE JOGOS E ENTRETENIMENTO DIGITAL (SBGAMES), 23. , 2024, Manaus/AM.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2024
.
p. 396-415.
DOI: https://doi.org/10.5753/sbgames.2024.240282.
