Comparison of similarity measures to differentiate players' actions and decision-making profiles in serious games analytics

作者：

Highlights：

• Similarity measures and gameplay action-behavior profiles are new research in Serious Games.

• Players can be profiled based on in-game navigational paths and decision-making strategies.

• Similarity measure is a viable method to differentiate player profiles by (dis)similarities.

• The use of n-gram is needed to preserve directionality of navigational paths in gameplay.

• Comparison of similarity measures will help identify new metrics and better analytics methods.

摘要

•Similarity measures and gameplay action-behavior profiles are new research in Serious Games.•Players can be profiled based on in-game navigational paths and decision-making strategies.•Similarity measure is a viable method to differentiate player profiles by (dis)similarities.•The use of n-gram is needed to preserve directionality of navigational paths in gameplay.•Comparison of similarity measures will help identify new metrics and better analytics methods.

论文关键词：Serious games analytics,Similarity measures,Decision-making profiles,Gameplay Action-Decision,Partial Least Squares Discriminant Analysis (PLS-DA)

论文评审过程：Received 11 June 2016, Revised 20 July 2016, Accepted 22 July 2016, Available online 31 July 2016, Version of Record 31 July 2016.

论文官网地址：https://doi.org/10.1016/j.chb.2016.07.024