Capturing physiological data for detecting boredom in educational contexts
Boredom
DOI:
10.1145/3612783.3612811
Publication Date:
2024-01-18T11:40:00Z
AUTHORS (6)
ABSTRACT
The recognition of learners' emotions, in particular boredom, is a topic great interest the context e-learning, especially with recent increase distance education courses. This paper proposes multimodal framework that integrates an emotion capture system (MsWH), along commercial hardware and software (Muse2 Empatica E4), to detect recognize boredom college students while viewing videos. proposed has been applied experiment following protocol defined as part work. As first results, useful dataset for analysis achieved.
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