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Witch Roundtable: Investigating PCG for Player Experience

  • Yi-Chun LiaoEmail author
  • Jie-Fen You
  • Tsai-Ling Chi
  • Yu-Cing Luo
  • Chia-Hsin Hsiao
Conference paper
  • 9 Downloads
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 551)

Abstract

This paper presents the PCG-based game: Witch Roundtable. Three steps of construct approach are applied in our algorithm. The issues of PGC of the puzzle game and non-puzzle game are different. Witch Roundtable is design by using unity game engine in our work. Three steps of the level generation are particular to create features like the props weight, gameplay design, and player-triggered. Witch Roundtable is a 3D video game with an original story to contribute to the domain of player experience research. The paper also presents the design goals and design context of the research environment, and provides a detailed overview of the procedural capabilities of Witch Roundtable.

Keywords

Procedural content generation Video game Unity Player experience 

References

  1. 1.
    Togelius, T., Kastbjerg, E., Schedl, D., Yannakakis, G.N.: What is procedural content generation? Mario on the borderline. In: Proceedings of the 2nd International Workshop on Procedural Content Generation in Games, pp. 1–6, Bordeaux (2011)Google Scholar
  2. 2.
    Hendrikx, M., Meijer, S., Van Der Velden, J., Iosup, A.: Procedural content generation for games: a survey. ACM Trans. Multimedia Comput. Commun. Appl. (TOMM) 9(1), 1–22 (2013)CrossRefGoogle Scholar
  3. 3.
    Korn, O., Blatz, M., Rees, A., Schaal, J., Schwind, V., Görlich, D.: Procedural content generation for game props? A study on the effects on user experience. Comput. Entertain. (CIE) 15(2), 1–15 (2017)CrossRefGoogle Scholar
  4. 4.
    Volz, V., Schrum, J., Liu, J., Lucas, S.M., Smith, A., Risi, S.: Evolving mario levels in the latent space of a deep convolutional generative adversarial network. In: Proceedings of the Genetic and Evolutionary Computation Conference, Kyoto, Japan, 15–19 July 2018Google Scholar
  5. 5.
    Ripamonti, L.A., Mannalà, M., Gadia, D., Maggiorini, D.: Procedural content generation for platformers: designing and testing FUN PLEdGE. Multimedia Tools Appl. 76(4), 5001–5050 (2017)CrossRefGoogle Scholar
  6. 6.
    Togelius, J., Yannakakis, G.N., Stanley, K.O., Browne, C.: Search-based procedural content generation: a taxonomy and survey. IEEE Trans. Comput. Intell. AI Games 3(3), 172–186 (2011)CrossRefGoogle Scholar
  7. 7.
    Togelius, J., Yannakakis, G.N., Stanley, K.O., Browne, C.: Search-based procedural content generation. In: Proceedings of EvoApplications. LNCS, vol. 6024. Springer (2010)Google Scholar
  8. 8.
    Yannakakis, G.N., Togelius, J.: Experience-driven procedural content generation. IEEE Trans. Affect. Comput. (2011)Google Scholar
  9. 9.
  10. 10.
    Smith, G., Othenin-Girard, A., Whitehead, J., Wardrip-Fruin, N.: PCG-based game design: creating Endless Web. In: Proceedings of the International Conference on the Foundations of Digital Games, 29 May–01 June 2012Google Scholar
  11. 11.
    Shaker, N., Togelius, J., Nelson, M.J.: Procedural Content Generation in Games (Computational Synthesis and Creative Systems), 1st edn. Springer (2016)Google Scholar
  12. 12.
    Watkins, R.: Procedural Content Generation for Unity Game Development, Packt Publishing (2016)Google Scholar

Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  • Yi-Chun Liao
    • 1
    Email author
  • Jie-Fen You
    • 1
  • Tsai-Ling Chi
    • 1
  • Yu-Cing Luo
    • 1
  • Chia-Hsin Hsiao
    • 1
  1. 1.Department of Digital Multimedia DesignChina University of TechnologyTaipeiTaiwan, R.O.C.

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