Title

Application of machine learning and emotional fluctuation system in game quality evaluation and prospective players prediction

Authors

Tianshu Li, Wenzhou-Kean University
Yu Meng, Wenzhou-Kean University
Hanxing Hu, Wenzhou-Kean University
Changjiang Zhang, Wenzhou-Kean University

Document Type

Conference Proceeding

Publication Date

12-1-2018

Abstract

Previous studies revealed that the players' emotional fluctuation is associated with and may be used to evaluate the quality of the game. This study aims at determining how the changes in a variety of emotional factors would reflect the quality of the game. Galvanic Skin Response GSR, an emotional-aware UI, was used to gain data from volunteers while they were playing games. The linear regression model was used to predict the prospective players in the game series. Results suggested that some emotion factors like fluent frequency have positive influence of the game quality while more emotion factors such as biggest wave and interval have negative influences.

Publication Title

2018 IEEE 4th International Conference on Computer and Communications, ICCC 2018

First Page Number

1977

Last Page Number

1980

DOI

10.1109/CompComm.2018.8781020

Recommended Citation

Li, Tianshu; Meng, Yu; Hu, Hanxing; and Zhang, Changjiang, "Application of machine learning and emotional fluctuation system in game quality evaluation and prospective players prediction" (2018). Kean Publications. 1443.
https://digitalcommons.kean.edu/keanpublications/1443