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Subjective Difficulty Estimation for Interactive Learning by Sensing Vibration Sound on Desk Panel

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Ambient Intelligence (AmI 2010)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 6439))

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Abstract

In this paper, we propose a method which estimates the student’s subjective difficulty with a vibration sound on a desk obtained by a microphone on the back of the desk panel. First, it classifies the student’s behavior into writing and non-writing by analyzing the obtained sound data. Next, the subjective difficulty is estimated based on an assumption that the duration of non-writing behavior becomes long if the student feels difficult because he (or she) would not have progress on answer sheet. As a result, the accuracy of the proposed so simple behavior classification reaches around 80%, and that of the subjective difficulty estimation is 60%.

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Author information

Authors and Affiliations

  1. Graduate School of Engineering Science, Osaka University, Machikaneyama 1-3, Toyonaka, 5608531, Osaka, Japan

    Nana Hamaguchi, Keiko Yamamoto, Daisuke Iwai & Kosuke Sato

Authors
  1. Nana Hamaguchi
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  2. Keiko Yamamoto
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  3. Daisuke Iwai
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  4. Kosuke Sato
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Editor information

Editors and Affiliations

  1. Philips Research Europe, User High Tech Campus 34 - WB - 4.053, 5656, Eindhoven, AE, The Netherlands

    Boris de Ruyter

  2. Fraunhofer, Institut für Graphische Datenverarbeitung IGD, , Fraunhoferstrasse 5, 64283, Darmstadt, Germany

    Reiner Wichert

  3. TU Delft, Landbergstraat 15, 2628, Delft, CE, The Netherlands

    David V. Keyson

  4. Eindhoven University of Technology, Den Dolech 2, 5600, Eindhoven, MB, The Netherlands

    Panos Markopoulos

  5. Smart Future Initiative, Konrad-Zuse-Str. 34, 60438, Frankfurt, Germany

    Norbert Streitz

  6. Norwegian University of Science and Technology, Sem Sælandsvei 7-9, 7491, Trondheim, Norway

    Monica Divitini

  7. Domaine de Voluceau, INRIA Paris-Rocquencourt, B.P. 105, 78153, Le Chesnay, France

    Nikolaos Georgantas

  8. E.T.S.I. Informatica, Bulevar Louis Pasteur, University of Malaga, 35, Campus de Teatinos, 29071, Malaga, Spain

    Antonio Mana Gomez

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© 2010 Springer-Verlag Berlin Heidelberg

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Hamaguchi, N., Yamamoto, K., Iwai, D., Sato, K. (2010). Subjective Difficulty Estimation for Interactive Learning by Sensing Vibration Sound on Desk Panel. In: de Ruyter, B., et al. Ambient Intelligence. AmI 2010. Lecture Notes in Computer Science, vol 6439. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-16917-5_14

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  • DOI: https://doi.org/10.1007/978-3-642-16917-5_14

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-16916-8

  • Online ISBN: 978-3-642-16917-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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