Using Feature Value Distributions to Estimate Player Satisfaction Through an Author's Eyes
David L. Roberts, Christina R. Strong, Charles Lee Isbell · 2007
We explore an approach for inferring player preferences for interactive entertainment. The goal is to be adaptive and scal-able by extracting preferences through observation, and using a vocabulary understood by game authors rather than depend upon the quirks of individual players. We demonstrate our approach for a number of simulated players in two simulated games and present results from a feasibility study.