AttentiveLearner2: A Multimodal Approach for Improving MOOC Learning on Mobile Devices-Reference-Cited by-同舟云学术

AttentiveLearner2: A Multimodal Approach for Improving MOOC Learning on Mobile Devices

Published:2017 Issue: Volume: Page:561-564
ISSN:0302-9743
Container-title:Lecture Notes in Computer Science
language:
Short-container-title:

Author:

Pham Phuong,Wang Jingtao

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-319-61425-0_64

Reference7 articles.

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2. D’Mello, S.K., Graesser, A.: Multimodal semi-automated affect detection from conversational cues, gross body language, and facial features. User Model. User-Adap. Inter. 20(2), 147–187 (2010)

3. Han, T., Xiao, X., Shi, L., Canny, J., Wang, J.: Balancing accuracy and fun: designing camera based mobile games for implicit heart rate monitoring. In: Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems, pp. 847–856. ACM (2015)

4. Kim, J., Guo, P.J., Seaton, D.T., Mitros, P., Gajos, K.Z., Miller, R.C.: Understanding invideo dropouts and interaction peaks in online lecture videos. In: Proceedings of the First ACM Conference on Learning@ Scale Conference, pp. 31–40. ACM (2014)

5. Pham, P., Wang, J.: Understanding emotional responses to mobile video advertisements via physiological signal sensing and facial expression analysis. In: Proceedings of the 22nd International Conference on Intelligent User Interfaces, pp. 67–78. ACM (2017)

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