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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Bibliographic Details
Main Authors: FWA, Hua Leong, MARSHALL, Lindsay
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2018
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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
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