Use BCI to Generate Attention-Based Metadata for the Assessment of Effective Learning Duration

• Published in: Learning and Collaboration Technologies. Learning and Teaching Vol. 10925; pp. 407 - 417
• Main Authors: Shen, Yang Ting, Chen, Xin Mao, Lu, Pei Wen, Wu, Ju Chuan
• Format: Book Chapter
• Language: English
• Published: Switzerland Springer International Publishing AG 2018; Springer International Publishing
• Series: Lecture Notes in Computer Science
• Subjects: Affective computing; Attention; BCI; Brainwave; EEG; Metadata; Video-based learning
• ISBN: 9783319911519; 3319911511
• ISSN: 0302-9743; 1611-3349
• DOI: 10.1007/978-3-319-91152-6_31

This paper proposes a novel method for evaluating the video-based learning performance by using brain computer interface (BCI). We develop Interactive Brain Tagging system (IBTS) to collect learns’ physiological affective metadata: attention. IBTS uses the EEG headset to measure learners’ brainwave...