IDEAS home Printed from https://ideas.repec.org/a/gam/jmathe/v8y2020i10p1827-d430711.html
   My bibliography  Save this article

Automatic Judgement of Online Video Watching: I Know Whether or Not You Watched

Author

Listed:
  • Eunseon Yi

    (Department of Computer Science and Engineering, Korea University, Seoul 02841, Korea)

  • Heuiseok Lim

    (Department of Computer Science and Engineering, Korea University, Seoul 02841, Korea)

  • Jaechoon Jo

    (Division of Computer Engineering, Hanshin University, Osan 18101, Korea)

Abstract

Videos have long been viewed through the free choice of customers, but in some cases currently, watching them is absolutely required, for example, in institutions, companies, and education, even if the viewers prefer otherwise. In such cases, the video provider wants to determine whether the viewer has honestly been watching, but the current video viewing judging system has many loopholes; thus, it is hard to distinguish between honest viewers and false viewers. Time interval different answer popup quiz (TIDAPQ) was developed to judge honest watching. In this study, TIDAPQ randomly inserts specially developed popup quizzes in the video. Viewers must solve time interval pass (RESULT 1) and individually different correct answers (RESULT 2) while they watch. Then, using these two factors, TIDAPQ immediately performs a comprehensive judgement on whether the viewer honestly watched the video. To measure the performance of TIDAPQ, 100 experimental subjects were recruited to participate in the model verification experiment. The judgement performance on normal watching was 93.31%, and the judgement performance on unusual watching was 85.71%. We hope this study will be useful in many areas where watching judgements are needed.

Suggested Citation

  • Eunseon Yi & Heuiseok Lim & Jaechoon Jo, 2020. "Automatic Judgement of Online Video Watching: I Know Whether or Not You Watched," Mathematics, MDPI, vol. 8(10), pages 1-19, October.
    • Handle: RePEc:gam:jmathe:v:8:y:2020:i:10:p:1827-:d:430711
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2227-7390/8/10/1827/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2227-7390/8/10/1827/
    Download Restriction: no
    ---><---

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jmathe:v:8:y:2020:i:10:p:1827-:d:430711. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.