Can You Hear the Player Experience? A Pipeline for Automated Sentiment Analysis of Player Speech

被引:0
|
作者
Sykownik, Philipp [1 ]
Born, Felix [1 ]
Masuch, Maic [1 ]
机构
[1] Univ Duisburg Essen, Entertainment Comp Grp, Duisburg, Germany
来源
2019 IEEE CONFERENCE ON GAMES (COG) | 2019年
关键词
Player experience evaluation; Speech analysis; Multimodal data analysis; Automated testing; Sentiment analysis; Heat maps; Data visualization;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This paper presents the ongoing work on a technological pipeline to automate the recording and analysis of player speech data in the evaluation of player experience. The pipeline generates a heatmap that visualizes where the players in the virtual environment have made positive, negative, and neutral statements. Moreover, the heatmap provides spatiotemporal information of in-game events, as well as interactive features like filters and modifiers. We describe how the pipeline is set up for the Unity game engine, how we implemented the sentiment classification module as well as the visualization of the tracked data. Concluding, we define goals for further development.
引用
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页数:4
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