摘要
根据OCC模型理论,提出一种在e-learning系统中基于认知评价的学生情感识别模型。采用模糊推理方法实现学生对学习事件的期望度推理,并通过构建动态贝叶斯网络对所构建的模型进行了计算机仿真测试和评估,结果验证了模型的合理性和有效性,从而为构建具有情感智能的e-learning系统提供了一种新的情绪识别模型和架构。
According to OCC model, an emotional recognition model based on cognition and appraisal theory was proposed. The expectation probability of events in the educational environment was determined by reasoning with a fuzzy way. A dynamic bayesian network was also built to evaluate and simulate the learning process and the result shows the model's validity and rationality. Thus this paper's work has provided a novel emotion recognition model and frame to make e-learning systems more emotional intelligent.
出处
《计算机科学》
CSCD
北大核心
2010年第5期214-218,共5页
Computer Science
基金
国家自然科学基金项目(60573059)
北京市自然科学基金重点项目(KZ200810028016)资助
关键词
OCC模型
认知评价
动态贝叶斯网络
情感缺失
情感建模
OCC model Cognition appraisal Dynamic Bayesian network Emotional lacking Emotional modeling