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International Conference on Artificial Intelligence in Education

AIED 2015: Artificial Intelligence in Education pp 429–438Cite as

Filtering of Spontaneous and Low Intensity Emotions in Educational Contexts

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 9112))

Abstract

Affect detection is a challenging problem, even more in educational contexts, where emotions are spontaneous and usually subtle. In this paper, we propose a two-stage detection approach based on an initial binary discretization followed by a specific emotion prediction stage. The binary classification method uses several distinct sources of information to detect and filter relevant time slots from an affective point of view. An accuracy close to 75% at detecting whether the learner has felt an educationally relevant emotion on 20 second time slots has been obtained. These slots can then be further analyzed by a second classifier, to determine the specific user emotion.

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Author information

Authors and Affiliations

  1. aDeNu Research Group. Artificial Intelligence Dept. Computer Science School, UNED, Calle Juan del Rosal 16, Madrid, 28040, Spain

    Sergio Salmeron-Majadas, Olga C. Santos, Mar Saneiro & Jesus G. Boticario

  2. Departament d’Informàtica, Universitat de València, Avda de la Universidad s/n, 46100, Bujassot, Valencia, Spain

    Miguel Arevalillo-Herráez

  3. Basic Psychology Dept, UNED, Calle Juan del Rosal 10, Madrid, 28040, Spain

    Raúl Cabestrero & Pilar Quirós

  4. Departament de Didàctica de la Matemàtica, Universitat de València, Avda Tarongers 4, 46022, Valencia, Spain

    David Arnau

Authors
  1. Sergio Salmeron-Majadas
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  2. Miguel Arevalillo-Herráez
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  3. Olga C. Santos
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  4. Mar Saneiro
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  5. Raúl Cabestrero
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  6. Pilar Quirós
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  7. David Arnau
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  8. Jesus G. Boticario
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Corresponding author

Correspondence to Sergio Salmeron-Majadas .

Editor information

Editors and Affiliations

  1. University of British Columbia, Vancouver, British Columbia, Canada

    Cristina Conati

  2. Computer Science Department, Worcester Polytechnic Institute, Worcester, Massachusetts, USA

    Neil Heffernan

  3. Department of Computer Science and Software Engineering, University of Canterbury, Christchurch, New Zealand

    Antonija Mitrovic

  4. E.T.S.I. Informática, Universidad National de Educacion a Distancia, Madrid, Spain

    M. Felisa Verdejo

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© 2015 Springer International Publishing Switzerland

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Salmeron-Majadas, S. et al. (2015). Filtering of Spontaneous and Low Intensity Emotions in Educational Contexts. In: Conati, C., Heffernan, N., Mitrovic, A., Verdejo, M. (eds) Artificial Intelligence in Education. AIED 2015. Lecture Notes in Computer Science(), vol 9112. Springer, Cham. https://doi.org/10.1007/978-3-319-19773-9_43

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  • DOI: https://doi.org/10.1007/978-3-319-19773-9_43

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-19772-2

  • Online ISBN: 978-3-319-19773-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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