DocumentCode :
2591776
Title :
Recognizing the emotion of learners by physiological sensors to improve english learning performance
Author :
Kuo, Yu-Chen ; Tseng, Chih-Chi
Author_Institution :
Dept. of Comput. Sci. & Inf. Manage., Soochow Univ., Taipei, Taiwan
Volume :
4
fYear :
2011
fDate :
15-17 Oct. 2011
Firstpage :
2152
Lastpage :
2156
Abstract :
Now the context-aware learning has been the hot subject for many scholars to explore in e-learning. In the context-aware learning, the learners interact with the learning environment to stimulate the learner´s emotion. Learners will be immersed in the context-aware learning environment thus enhance their learning performance. However, most of scholars had discussed the interaction between the learner and the learning environment. In fact, the emotion of learner is a more important factor than the learning environment to affect the learning performance. Hence we want to design the learning system that uses physiological sensors to recognize the emotion of learner. The learning system will adjust the learning level and give suitable aids according to the emotion of the learner so that the learner can have the better learning performance.
Keywords :
bioelectric potentials; biomedical engineering; computer aided instruction; emotion recognition; medical computing; physiological models; skin; ubiquitous computing; English learning performance; context aware learning; e-learning; emotion recognition; galvanic skin response; learning environment; learning level; physiological sensors; Computers; Education; Emotion recognition; Learning systems; Physiology; Sensor systems; Emotion recognition; Physiological sensing; context-aware learning;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Biomedical Engineering and Informatics (BMEI), 2011 4th International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-9351-7
Type :
conf
DOI :
10.1109/BMEI.2011.6098750
Filename :
6098750
Link To Document :
بازگشت