Playing style recognition through an adaptive video game

作者：

Highlights：

• a model for automatic in-game recognition of playing styles is proposed.

• The model applies multiple linear regression over game task performance metrics.

• Recognition of styles is done in a video game with affectively adapted difficulty.

• The affectively adapted gameplay has proven benefits to game performance metrics.

• The accuracy of in-game recognition of playing styles is between 73.52% and 84.03%.

摘要

•a model for automatic in-game recognition of playing styles is proposed.•The model applies multiple linear regression over game task performance metrics.•Recognition of styles is done in a video game with affectively adapted difficulty.•The affectively adapted gameplay has proven benefits to game performance metrics.•The accuracy of in-game recognition of playing styles is between 73.52% and 84.03%.

论文关键词：Playing style,Recognition,Adaptive game,Linear regression

论文评审过程：Available online 29 December 2017, Version of Record 3 February 2018.

论文官网地址：https://doi.org/10.1016/j.chb.2017.12.040