Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
6836633 | Computers in Human Behavior | 2016 | 13 Pages |
Abstract
In this study, we examined and compared several popular similarity measures to see if any measure, or combination of measures, would be viable in differentiating players based on their GAD profiles in serious games. Our findings revealed that similarity measures, while significant in their predicting abilities individually, could gain more strength from one another in combination. More research is needed to create or develop new metrics and methods for players' action and behavioral profiling in Serious Games Analytics.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science Applications
Authors
Christian Sebastian Loh, I-Hung Li, Yanyan Sheng,