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Explaining Machine Learning Models of Emotion Using the BIRAFFE Dataset

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Artificial Intelligence and Soft Computing (ICAISC 2020)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 12416))

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Abstract

Development of models for emotion detection is often based on the use of machine learning. However, it poses practical challenges, due to the limited understanding of modeling of emotions, as well as the problems regarding measurements of bodily signals. In this paper we report on our recent work on improving such models, by the use of explainable AI methods. We are using the BIRAFFE data set we created previously during our own experiment in affective computing.

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Author information

Authors and Affiliations

  1. Jagiellonian University, ul. Gołębia 24, 30-059, Krakow, Poland

    Szymon Bobek & Grzegorz J. Nalepa

  2. AGH University of Science and Technology, Al. Mickiewicza 30, 30-059, Krakow, Poland

    Magdalena M. Tragarz & Maciej Szelążek

Authors
  1. Szymon Bobek
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  2. Magdalena M. Tragarz
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  3. Maciej Szelążek
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  4. Grzegorz J. Nalepa
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Corresponding author

Correspondence to Grzegorz J. Nalepa .

Editor information

Editors and Affiliations

  1. Częstochowa University of Technology, Częstochowa, Poland

    Leszek Rutkowski

  2. Częstochowa University of Technology, Częstochowa, Poland

    Rafał Scherer

  3. Częstochowa University of Technology, Częstochowa, Poland

    Marcin Korytkowski

  4. Electrical and Computer Engineering, University of Alberta, Edmonton, AB, Canada

    Witold Pedrycz

  5. AGH University of Science and Technology, Kraków, Poland

    Ryszard Tadeusiewicz

  6. Electrical and Computer Engineering, University of Louisville, Louisville, KY, USA

    Jacek M. Zurada

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Bobek, S., Tragarz, M.M., Szelążek, M., Nalepa, G.J. (2020). Explaining Machine Learning Models of Emotion Using the BIRAFFE Dataset. In: Rutkowski, L., Scherer, R., Korytkowski, M., Pedrycz, W., Tadeusiewicz, R., Zurada, J.M. (eds) Artificial Intelligence and Soft Computing. ICAISC 2020. Lecture Notes in Computer Science(), vol 12416. Springer, Cham. https://doi.org/10.1007/978-3-030-61534-5_26

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  • DOI: https://doi.org/10.1007/978-3-030-61534-5_26

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-61533-8

  • Online ISBN: 978-3-030-61534-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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