@article{KornBlatzReesetal.2017,
  author    = {Korn, Oliver and Blatz, Michael and Rees, Adrian and Schaal, Jakob and Schwind, Valentin and G{\"o}rlich, Daniel},
  title     = {Procedural Content Generation for Game Props? A Study on the Effects on User Experience},
  journal   = {Computers in Entertainment (CIE) - Theoretical and Practical Computer Applications in Entertainment},
  volume    = {15},
  number    = {2},
  editor    = {Lee, Newton},
  issn      = {1544-3574},
  doi       = {10.1145/2974026},
  url       = {https://dl.acm.org/citation.cfm?id=2974026},
  institution = {ACI - Affective and Cognitive Institute},
  pages     = {1:1 -- 1:15},
  year      = {2017},
  abstract  = {This work demonstrates the potentials of procedural content generation (PCG) for games, focusing on the generation of specific graphic props (reefs) in an explorer game. We briefly portray the state-of-the-art of PCG and compare various methods to create random patterns at runtime. Taking a step towards the game industry, we describe an actual game production and provide a detailed pseudocode implementation showing how Perlin or Simplex noise can be used efficiently. In a comparative study, we investigate two alternative implementations of a decisive game prop: once created traditionally by artists and once generated by procedural algorithms. 41 test subjects played both implementations. The analysis shows that PCG can create a user experience that is significantly more realistic and at the same time perceived as more aesthetically pleasing. In addition, the ever-changing nature of the procedurally generated environments is preferred with high significance, especially by players aged 45 and above.},
  subject      = {Procedural Content Generation},
  language  = {en}
}