Confirmation of the Significance of Facial Images in Online Learning Using Eye Gaze Tracking Measurement

Author:

Hachisuka Satori,Kurita Kayoko,Warisawa Shin’ichi

Publisher

Springer International Publishing

Reference5 articles.

1. Mayer, R.E.: Multimedia Learning. Cambridge University Press, Cambridge (2001)

2. Kizilcec, R.F., Papadopoulos, K., Sritanyaratana, L.: Showing face in video instruction: effects on information retention, visual attention, and affect. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems 2014 (CHI 2014), Toronto, pp. 2095–2102. ACM (2014)

3. Bhat, S., Chinprutthiwong, P., Perry, M.: Seeing the instructor in two video styles: preferences and patterns. In: Proceedings of the 8th International Conference on Educational Data Mining, pp. 305–312. IEDMS, Madrid (2015)

4. Kizilcec, R.F., Bailenson, J.N., Gomez, C.J.: The instructor’s face in video instruction: evidence from two large-scale field studies. J. Educ. Psychol. 107(3), 724–739 (2015)

5. Cabinet Office, Government of Japan, Traffic safety course PDF file (in Japanese). https://www8.cao.go.jp/koutu/kyouiku/pdf/elderly_drivers.pdf. Accessed 9 Feb 2021

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1. On the Possibility of Measuring Learner’s Facial Expressions in On-Demand Learning Environments in Junior High School Students;2023 IEEE International Conference on Teaching, Assessment and Learning for Engineering (TALE);2023-11-28

2. On the Possibility of Emotion Recognition While Question-Answering Utterances by Voice Analysis for Junior High School Students;2023 IEEE Frontiers in Education Conference (FIE);2023-10-18

3. The Eye Gaze Features and Preference of Teacher Image Existence in Junior High Students During Online Learning;2022 IEEE 4th Global Conference on Life Sciences and Technologies (LifeTech);2022-03-07

4. The Eye Gaze Tracking During Online Learning with Teacher's Facial Image for Junior and Senior High School Students;2021 IEEE International Conference on Engineering, Technology & Education (TALE);2021-12-05

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