Inducing Optimal Emotional State for Learning in Intelligent Tutoring Systems
Inducing Optimal Emotional State for Learning in Intelligent Tutoring Systems
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DOI：
10.1007/978-3-540-30139-4_5
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发表时间：
2004-08
期刊：
影响因子：
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通讯作者：
Soumaya Chaffar;C. Frasson
中科院分区：
文献类型：
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作者：
Soumaya Chaffar;C. Frasson
情绪在认知过程中起着重要的作用，特别是在学习任务中。此外，有证据表明，学习者的情绪状态与他的表现相关。此外，重要的是，新的智能辅导系统涉及这种情感方面;他们可能能够识别学习者的情绪状态，并改变它，以便在最佳条件下学习。在本文中，我们描述了这样一个架构，以确定最佳的情绪状态的学习和诱导it. Based上的实验，我们已经使用的朴素贝叶斯分类器预测的最佳情绪状态，根据个性，然后我们诱导它使用一种混合技术，结合了引导意象技术，音乐和图像。
Emotions play an important role in cognitive processes and specially in learning tasks. Moreover, there are some evidences that the emotional state of the learner correlated with his performance. Furthermore, it’s important that new Intelligent Tutoring Systems involve this emotional aspect; they may be able to recognize the emotional state of the learner, and to change it so as to be in the best conditions for learning. In this paper we describe such an architecture developed in order to determine the optimal emotional state for learning and to induce it. Based on experimentation, we have used the Naïve Bayes classifier to predict the optimal emotional state according to the personality and then we induce it using a hybrid technique which combines the guided imagery technique, music and images.