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Exploring Sound Feedback for Deterring Unrelated Tasks During Online Lectures

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HCI International 2022 Posters (HCII 2022)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1582))

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Abstract

In universities, online lectures are becoming more common. Online lectures are advantageous but there is a problem that a certain number of students do things unrelated to their studies during lectures; this reduces the quality of learning. We focused on sound feedback because it allows students to notice warnings when they are looking at something other than the computer screen. To explore suitable sound feedback for warning during online lectures, we compared four types of sound feedback in terms of noticeability and pleasantness: 1) presenting a buzzer sound, 2) alternating between presenting and muting the lecture audio, 3) gradually reducing the lecture audio, and 4) muting the lecture audio. The experimental results confirmed that feedback types of 2–4 are preferable in terms of the balance between noticeability and pleasantness. This finding contributes to enhancing online lecture systems and improving the quality of online learning.

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Notes

  1. 1.

    Negative values indicate that participants mistakenly believed that the feedback was presented before it began.

  2. 2.

    EZR [4] is a graphical user interface for R (The R Foundation for Statistical Computing, Vienna, Austria). More precisely, it is a modified version of R commander designed to add statistical functions frequently used in biostatistics.

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Author information

Authors and Affiliations

  1. Graduate School of Integrated Basic Sciences, Nihon University, Tokyo, Japan

    Teamyoung Yun, Ren Imai & Kenro Go

  2. College of Humanities and Sciences, Nihon University, Tokyo, Japan

    Yuji Kimura & Akihiro Miyata

Authors
  1. Teamyoung Yun
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  2. Ren Imai
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  3. Yuji Kimura
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  4. Kenro Go
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  5. Akihiro Miyata
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Corresponding author

Correspondence to Akihiro Miyata .

Editor information

Editors and Affiliations

  1. University of Crete and Foundation for Research and Technology – Hellas (FORTH), Heraklion, Crete, Greece

    Constantine Stephanidis

  2. Foundation for Research and Technology – Hellas (FORTH), Heraklion, Crete, Greece

    Margherita Antona

  3. Foundation for Research and Technology – Hellas (FORTH), Heraklion, Crete, Greece

    Stavroula Ntoa

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Yun, T., Imai, R., Kimura, Y., Go, K., Miyata, A. (2022). Exploring Sound Feedback for Deterring Unrelated Tasks During Online Lectures. In: Stephanidis, C., Antona, M., Ntoa, S. (eds) HCI International 2022 Posters. HCII 2022. Communications in Computer and Information Science, vol 1582. Springer, Cham. https://doi.org/10.1007/978-3-031-06391-6_21

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  • DOI: https://doi.org/10.1007/978-3-031-06391-6_21

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-06390-9

  • Online ISBN: 978-3-031-06391-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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