Predicting attentional states with facial videos in online lectures얼굴 영상을 통한 온라인 강의 수강생의 집중력 예측 연구

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dc.contributor.advisorLee, Sung-Ju-
dc.contributor.advisor이성주-
dc.contributor.authorLee, Taeckyung-
dc.date.accessioned2023-06-26T19:34:34Z-
dc.date.available2023-06-26T19:34:34Z-
dc.date.issued2022-
dc.identifier.urihttp://library.kaist.ac.kr/search/detail/view.do?bibCtrlNo=1008365&flag=dissertationen_US
dc.identifier.urihttp://hdl.handle.net/10203/310005-
dc.description학위논문(석사) - 한국과학기술원 : 전기및전자공학부, 2022.8,[iii, 26 p. :]-
dc.description.abstractOnline education has become more important due to COVID. However, there is a gap between lecturers and students in online learning: lecturers demand to know students' attentional states-
dc.description.abstracthowever, online setting limits observing the entire class' attention. Moreover, existing attentional state prediction methods utilize specialized sensors such as eye trackers, which are not readily deployable in real-world settings. To solve the problem, we utilize facial recordings from student webcams for online learners' attentional state prediction. By the experiment in the wild with 37~participants, we end up with a dataset consisting of a total of 15~hours of facial recordings with corresponding 1,100~attentional state probings. We present $\textsc{Pafe}$ (Predicting Attention with Facial Expression), a facial-video-based framework for attentional state prediction that focuses on the vision-based representation of traditional physiological mind-wandering features related to partial drowsiness, emotion, and gaze. Based on $\textsc{Pafe}$, we present the end-to-end visualization system providing the attentional state of students.-
dc.languageeng-
dc.publisher한국과학기술원-
dc.subjectOnline Education▼aAttention▼aComputer Vision▼aPsychology-
dc.subject온라인 교육▼a집중력▼a컴퓨터 비전▼a심리학-
dc.titlePredicting attentional states with facial videos in online lectures-
dc.title.alternative얼굴 영상을 통한 온라인 강의 수강생의 집중력 예측 연구-
dc.typeThesis(Master)-
dc.identifier.CNRN325007-
dc.description.department한국과학기술원 :전기및전자공학부,-
dc.contributor.alternativeauthor이택경-
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