科研成果详情

题名Application of machine learning and emotional fluctuation system in game quality evaluation and prospective players prediction
作者
发表日期2018-12-01
会议名称4th IEEE International Conference on Computer and Communications, ICCC 2018
会议录名称2018 IEEE 4th International Conference on Computer and Communications, ICCC 2018
页码1977-1980
会议日期7 December 2018 到 10 December 2018
会议地点Chengdu
摘要

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.

关键词Emotion Game GSR Machine learning
DOI10.1109/CompComm.2018.8781020
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语种英语English
Scopus入藏号2-s2.0-85070843294
引用统计
被引频次[WOS]:0   [WOS记录]     [WOS相关记录]
文献类型会议论文
条目标识符https://repository.uic.edu.cn/handle/39GCC9TT/9197
专题个人在本单位外知识产出
作者单位
1.Wenzhou-Kean University,Wenzhou,China
2.Biological Science,Wenzhou-Kean University,Wenzhou,China
推荐引用方式
GB/T 7714
Li, Tianshu,Meng, Yu,Hu, Hanxinget al. Application of machine learning and emotional fluctuation system in game quality evaluation and prospective players prediction[C], 2018: 1977-1980.
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