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Effect of Face Appearance of a Teacher Avatar on Active Participation During Online Live Class

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Human Interface and the Management of Information: Applications in Complex Technological Environments (HCII 2022)

Abstract

The worldwide outbreak of the COVID-19 pandemic led to many changes in the methods used to impart education, with nearly all university courses in Japan transitioning to an online format, particularly video conferencing of live lectures. Considering the difficulties students face in remaining engaged during online lectures, we propose methods to maximize student participation by displaying a real-time animated avatar of the teacher’s face over the lecture slides. Students were presented with photos of different teachers and asked to select whom they would prefer to take a class with, and whom they would not prefer. An open-source deep fake tool was then used to animate the selected photos by following the facial expressions of a teacher in real-time. These animations were superimposed over the lecture slides in an online class. Our experimental results show that students taught by their preferred teacher’s animated avatar posted more comments, which was the form of feedback used, compared to when they were taught by a less preferred teacher’s avatar on the slides. We speculate that a change in the teacher’s avatar influences active student participation in online learning.

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Notes

  1. 1.

    https://zoom.us/.

  2. 2.

    https://meet.google.com/.

  3. 3.

    https://generated.photos/faces.

  4. 4.

    https://www.faceapp.com/.

  5. 5.

    https://github.com/alievk/avatarify.

  6. 6.

    https://obsproject.com/.

  7. 7.

    https://commentscreen.com/.

References

  1. Berner, E.S., Adams, B.: Added value of video compared to audio lectures for distance learning. Int. J. Med. Inform. 73(2), 189–193 (2004). https://doi.org/10.1016/j.ijmedinf.2003.12.001

    Article  Google Scholar 

  2. Bokek-Cohen, Y., Davidowitz, N.: Beauty and teaching evaluation: a comparison between female and male college professors. Probl. Educ. 21st Century 7, 15–30 (2008)

    Google Scholar 

  3. Craig, J.D., Savage, S.J.: Instructor attire and student performance: evidence from an undergraduate industrial organization experiment. Int. Rev. Econ. Educ. 17, 55–65 (2014). https://doi.org/10.1016/j.iree.2014.07.001

    Article  Google Scholar 

  4. Cross, A., Bayyapunedi, M., Cutrell, E., Agarwal, A., Thies, W.: Typerighting: combining the benefits of handwriting and typeface in online educational videos. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, pp. 793—796. Association for Computing Machinery, New York (2013). https://doi.org/10.1145/2470654.2470766

  5. Heaven, D.: Why faces don’t always tell the truth about feelings. Nature 578, 502–504 (2020). https://doi.org/10.1038/d41586-020-00507-5

  6. Homer, B.D., Plass, J.L., Blake, L.: The effects of video on cognitive load and social presence in multimedia-learning. Comput. Hum. Behav. 24(3), 786–797 (2008). https://doi.org/10.1016/j.chb.2007.02.009

    Article  Google Scholar 

  7. Karras, T., Laine, S., Aila, T.: A style-based generator architecture for generative adversarial networks. In: Proceedings of IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp. 4396–4405 (2019). https://doi.org/10.1109/CVPR.2019.00453

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

    Article  Google Scholar 

  9. 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, pp. 2095–2102. ACM (2014). https://doi.org/10.1145/2556288.2557207

  10. Lau, S.: The effect of smiling on person perception. J. Soc. Psychol. 117(1), 63–67 (1982)

    Article  Google Scholar 

  11. Martinez, A.M.: Visual perception of facial expressions of emotion. Curr. Opin. Psychol. 17, 27–33 (2017). https://doi.org/10.1016/j.copsyc.2017.06.009

    Article  Google Scholar 

  12. Mc Ginley, H., Blau, G.L., Takai, M.: Attraction effects of smiling and body position: a cultural comparison. Percept. Mot. Skills 58(3), 915–922 (1984)

    Article  Google Scholar 

  13. Ministry of Education, Culture, Sports, Science and Technology (MEXT), Japan: Education in japan beyond the crisis of Covid-19 (2020). https://www.mext.go.jp/en/content/20200904_mxt_kouhou01-000008961_1.pdf. Accessed 01 Feb 2022

  14. Nakazato, N., Yoshida, S., Sakurai, S., Narumi, T., Tanikawa, T., Hirose, M.: Smart face: enhancing creativity during video conferences using real-time facial deformation. In: Proceedings of CSCW, pp. 75–83. Association for Computing Machinery (2014). https://doi.org/10.1145/2531602.2531637

  15. Oh, S.Y., Bailenson, J., Krämer, N., Li, B.: Let the avatar brighten your smile: effects of enhancing facial expressions in virtual environments. PLOS ONE 11(9), 1–18 (2016). https://doi.org/10.1371/journal.pone.0161794

  16. Pugh, S.D.: Service with a smile: emotional contagion in the service encounter. Acad. Manag. J. 44(5), 1018–1027 (2001)

    Google Scholar 

  17. Schneider, S., Nebel, S., Beege, M., Rey, G.D.: Anthropomorphism in decorative pictures: benefit or harm for learning? J. Educ. Psychol. 110(2), 218–232 (2018). https://doi.org/10.1037/edu0000207

    Article  Google Scholar 

  18. Siarohin, A., Lathuilière, S., Tulyakov, S., Ricci, E., Sebe, N.: First order motion model for image animation. In: Advances in Neural Information Processing Systems, vol. 32, pp. 7137–7147. Curran Associates, Inc. (2019)

    Google Scholar 

  19. Srivastava, N., Velloso, E., Lodge, J.M., Erfani, S., Bailey, J.: Continuous evaluation of video lectures from real-time difficulty self-report. In: Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems, pp. 1—12. Association for Computing Machinery, New York (2019). https://doi.org/10.1145/3290605.3300816

  20. Talamas, S.N., Mavor, K.I., Perrett, D.I.: Blinded by beauty: attractiveness bias and accurate perceptions of academic performance. PLoS ONE 11(2), 1–18 (2016). https://doi.org/10.1371/journal.pone.0148284

    Article  Google Scholar 

  21. Wang, J., Antonenko, P., Dawson, K.: Does visual attention to the instructor in online video affect learning and learner perceptions? An eye-tracking analysis. Comput. Educ. 146, 103779 (2020). https://doi.org/10.1016/j.compedu.2019.103779

  22. Wang, J., Antonenko, P.D.: Instructor presence in instructional video: effects on visual attention, recall, and perceived learning. Comput. Hum. Behav. 71, 79–89 (2017). https://doi.org/10.1016/j.chb.2017.01.049

  23. Wilson, K.E., Martinez, M., Mills, C., D’Mello, S., Smilek, D., Risko, E.F.: Instructor presence effect: liking does not always lead to learning. Comput. Educ. 122, 205–220 (2018). https://doi.org/10.1016/j.compedu.2018.03.011

  24. Wolbring, T., Riordan, P.: How beauty works. Theoretical mechanisms and two empirical applications on students’ evaluation of teaching. Soc. Sci. Res. 57, 253–272 (2016). https://doi.org/10.1016/j.ssresearch.2015.12.009

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Correspondence to Tomohiro Amemiya .

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Amemiya, T., Aoyama, K., Ito, K. (2022). Effect of Face Appearance of a Teacher Avatar on Active Participation During Online Live Class. In: Yamamoto, S., Mori, H. (eds) Human Interface and the Management of Information: Applications in Complex Technological Environments. HCII 2022. Lecture Notes in Computer Science, vol 13306. Springer, Cham. https://doi.org/10.1007/978-3-031-06509-5_7

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  • DOI: https://doi.org/10.1007/978-3-031-06509-5_7

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