JournalQ2GamesSimulation

Game refinement theory: Paradigm shift from performance optimization to comfort in mind

Agarwal, Sakshi and Khalid, M. N. A. and Iida, Hiroyuki

Entertainment Computing · vol. 32 · pp. 100314 · 2019

Interactive demo

Game refinement · self-play

DEMO

This interactive is a faithful re-design of the research, simplified for illustrative and teaching purposes. It conveys the idea and behaviour of the model — it is not the paper’s full method, data, or results.

Open the full simulation →

A looping preview of game-refinement theory: an abstract game plays itself, and its refinement value GR = √B ⁄ D settles on the engagement spectrum against the comfortable zone, with live thrill and addiction readouts.

Chicago citation

Agarwal, Sakshi and Khalid, M. N. A. and Iida, Hiroyuki. “Game refinement theory: Paradigm shift from performance optimization to comfort in mind.” Entertainment Computing 32 (2019): 100314. https://doi.org/10.1016/j.entcom.2019.100314

BibTeX

@article{agarwal2019game,
  author  = {Agarwal, Sakshi and Khalid, M. N. A. and Iida, Hiroyuki},
  title   = {Game refinement theory: Paradigm shift from performance optimization to comfort in mind},
  journal = {Entertainment Computing},
  volume  = {32},
  pages   = {100314},
  year    = {2019},
  doi     = {10.1016/j.entcom.2019.100314},
}