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首页> 外文期刊>Procedia Computer Science >Learning Emotions EEG-based Recognition and Brain Activity: A Survey Study on BCI for Intelligent Tutoring System
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Learning Emotions EEG-based Recognition and Brain Activity: A Survey Study on BCI for Intelligent Tutoring System

机译：基于EEG的学习情绪识别和大脑活动：智能辅导系统BCI的调查研究

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摘要

Learners experience emotions in a variety of valence and arousal in learning, which impacts the cognitive process and the success of learning. Learning emotions research has a wide range of benefits from improving learning outcomes and experience in Intelligent Tutoring System (ITS), as well as increasing operation and work productivity. This survey reviews techniques that have been used to measure emotions and theories for modeling emotions. It investigates EEG-based Brain-Computer Interaction (BCI) of general and learning emotion recognition. The induction methods of learning emotions and related issues are also included and discussed. The survey concludes with challenges for further learning emotion research.
机译：学习者在学习中会以各种效价和唤醒来体验情绪，这会影响认知过程和学习的成功。学习情绪研究可从改善学习成果和智能辅导系统（ITS）的经验，以及提高操作和工作效率中受益匪浅。这项调查回顾了用于测量情绪的技术以及用于情绪建模的理论。它研究基于EEG的一般与学习情绪识别的脑机交互（BCI）。还包括并讨论了学习情绪和相关问题的归纳方法。调查结束时面临着进一步学习情绪研究的挑战。

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