情感计算在网络远程教育系统中的应用：功能、研究现状及关键问题

情感能力是人类智能的重要标志，情感的缺失会影响网络远程教育的教学质量和学习者的学习效果。情感计算是和谐人机交互与人工智能领域中新的研究方向。在网络远程教育系统中应用情感计算理论与技术，可以进一步优化网络远程教育的功能，帮助教师监测远程学习者的情感变化，调整教学策略和方法，实时给予学习者情感反馈，使教学质量达到最佳。目前国内外情感计算在远程教育方面的应用研究还处于起步与探索阶段，所构建的远程教学系统对远程教学中师生情感生理特征与心理特征、多模情感信息融合机制及网络虚拟人机情感交互特性等考虑不足，系统原型在情感合成与表达、智能人机情感交互实现上存在着很大的难度。因此，构建与人类情感系统相吻合的、自然和谐的、人性化和智能化的网络远程教育系统，需要有效解决师生面部表情、语音情感特征信号的准确识别与提取，师生多模情感信息融合机制与和谐人机情感交互技术等关键问题。

Application of Affective Computing in Web-Based Distance Education System： Functions, Current Research and Key Problems

Emotion ability is an important symbol of human intelligence. Emotion absence can affect the teaching quality of web-based distance education and the learning effect of learners. Affective computing is a new research direction of the natttral human computer interaction and aaificial intelligence field. In web-based distance education system, the application of affective computing theories and techniques can further enhance the function of web-based distance education, help teachers monitor the emotional changes of distance learners and adjust teaching strategies and methods. It can also give real-time affective feedback to learners, leading to the optimization of the teaching quality. So far, the applied research of affective computing on distance education at home and abroad is at its beginning and exploring stage. In the constructed distance education system, sufficient attention has not been paid to physiological and psychological characteristics of the emotion between the teachers and students, to multimedal mechanism for emotional information fusion, or to characteristic of network virtual human computer emotion interaction. The distance education system prototype has great difficulties in aspects of emotional synthesis and expression and realization of intelligent man-machine emotion interaction. Therefore, in order to construct a natural, humanized and intellectualized web-based distance education system consistent with human emotion, it is necessary to realize the key techniques on correct recognition and extraction of facial expressions and voice signals of teachers and students, multimedal mechanism for teacher-student emotional information fusion and natural human computer interaction.