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Analysis of Effects of Raggedy Student CG Characters in Face-to-Face Lectures and Their On-Demand Streaming

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Human Interface and the Management of Information (HCII 2023)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 14016))

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Abstract

With the changing circumstances of the COVID-19 disaster, many conventional face-to-face lectures are being conducted, but on-demand streaming of lectures is also expected to continue in the future. The authors have conducted on-demand lectures in which student characters’ raggedy actions are introduced from the viewpoint that these actions are important, but the raggedy actions’ effect has not yet been clarified. In this study, we analyzed the effects of introducing student characters’ raggedy actions by conducting face-to-face lectures and on-demand streaming that were based on recorded face-to-face lectures. We analyzed students’ behavior in a face-to-face class by setting “DOLA (Degree of the Learning Attitudes),” which is a scale of learning attitudes. In addition, we analyzed on-demand classes using the audience retention. We then compared these results. The results suggest that changing the actions of the characters in the class can attract students’ interest and encourage them to continue watching.

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Acknowledgements

This research was partially supported by JSPS KAKENHI 20H04096, 20K20121, etc.

We thank the students of “Human data analysis” at the School of Science and Technology, Kwansei Gakuin University, “Introduction to Computer Science” at School of Engineering, Kwansei Gakuin University, and “Body Studies” at Faculty of Culture and Information Science, Doshisha University.

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Authors and Affiliations

  1. School of Science and Technology, Kwansei Gakuin University, Sanda, Hyogo, Japan

    Seishiro Hara & Ryoya Fujii

  2. Faculty of Global Media Studies, Komazawa University, Setagaya-Ku, Tokyo, Japan

    Saizo Aoyagi

  3. School of Engineering, Kwansei Gakuin University, Sanda, Hyogo, Japan

    Michiya Yamamoto

Authors
  1. Seishiro Hara
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  2. Ryoya Fujii
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  3. Saizo Aoyagi
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  4. Michiya Yamamoto
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Corresponding author

Correspondence to Seishiro Hara .

Editor information

Editors and Affiliations

  1. Tokyo City University, Tokyo, Japan

    Hirohiko Mori

  2. Tokyo University of Science, Tokyo, Japan

    Yumi Asahi

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Hara, S., Fujii, R., Aoyagi, S., Yamamoto, M. (2023). Analysis of Effects of Raggedy Student CG Characters in Face-to-Face Lectures and Their On-Demand Streaming. In: Mori, H., Asahi, Y. (eds) Human Interface and the Management of Information. HCII 2023. Lecture Notes in Computer Science, vol 14016. Springer, Cham. https://doi.org/10.1007/978-3-031-35129-7_17

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  • DOI: https://doi.org/10.1007/978-3-031-35129-7_17

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-35128-0

  • Online ISBN: 978-3-031-35129-7

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