Investigating multimodal affect sensing in an affective tutoring system using unobtrusive sensors
Affect inextricably plays a critical role in the learning process. In this study, we investigate the multimodal fusion of facial, keystrokes, mouse clicks, head posture and contextual features for the detection of student’s frustration in an Affective Tutoring System. The results (AUC=0.64) demonstr...
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| Main Authors: | , |
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| Format: | text |
| Language: | English |
| Published: |
Institutional Knowledge at Singapore Management University
2018
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| Subjects: | |
| Online Access: | https://ink.library.smu.edu.sg/sis_research/7060 https://ink.library.smu.edu.sg/context/sis_research/article/8063/viewcontent/2018_PPIG_29th_fwa.pdf |
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| Institution: | Singapore Management University |
| Language: | English |