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TitleApplication of machine learning and emotional fluctuation system in game quality evaluation and prospective players prediction
Creator
Date Issued2018-12-01
Conference Name4th IEEE International Conference on Computer and Communications, ICCC 2018
Source Publication2018 IEEE 4th International Conference on Computer and Communications, ICCC 2018
Pages1977-1980
Conference Date7 December 2018 到 10 December 2018
Conference PlaceChengdu
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.

KeywordEmotion Game GSR Machine learning
DOI10.1109/CompComm.2018.8781020
URLView source
Language英语English
Scopus ID2-s2.0-85070843294
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Cited Times [WOS]:0   [WOS Record]     [Related Records in WOS]
Document TypeConference paper
Identifierhttp://repository.uic.edu.cn/handle/39GCC9TT/9197
CollectionResearch outside affiliated institution
Affiliation
1.Wenzhou-Kean University,Wenzhou,China
2.Biological Science,Wenzhou-Kean University,Wenzhou,China
Recommended Citation
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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