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Conceptual Human Emotion Modeling (HEM)

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Advances in Conceptual Modeling (ER 2020)

Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 12584))

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Abstract

Human emotions are considered as decision factors in specific knowledge-based systems. However, there is neither a consolidated conceptualization of the emotion domain nor a widely used modeling language, let alone a method. To close this gap, this paper presents such a language and first steps to a method. An essential aspect is that we have not conceived this language as a “stand-alone” one. Rather, it is designed for being embedded into other modeling standard or domain specific languages. For illustration purposes we use the Active and Assisted Living (AAL) domain as a running example. We conducted a first evaluation of our approach by implementing a modeling tool using the ADOxx\(^{\textregistered }\) metamodeling framework.

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Authors and Affiliations

  1. Alpen-Adria-Universität Klagenfurt, Klagenfurt, Austria

    Mohammed R. Elkobaisi, Heinrich C. Mayr & Vladimir A. Shekhovtsov

Authors
  1. Mohammed R. Elkobaisi
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  2. Heinrich C. Mayr
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  3. Vladimir A. Shekhovtsov
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Corresponding author

Correspondence to Mohammed R. Elkobaisi .

Editor information

Editors and Affiliations

  1. University of South Australia, Adelaide, SA, Australia

    Georg Grossmann

  2. University of Arizona, Tucson, AZ, USA

    Sudha Ram

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Elkobaisi, M.R., Mayr, H.C., Shekhovtsov, V.A. (2020). Conceptual Human Emotion Modeling (HEM). In: Grossmann, G., Ram, S. (eds) Advances in Conceptual Modeling. ER 2020. Lecture Notes in Computer Science(), vol 12584. Springer, Cham. https://doi.org/10.1007/978-3-030-65847-2_7

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  • DOI: https://doi.org/10.1007/978-3-030-65847-2_7

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-65846-5

  • Online ISBN: 978-3-030-65847-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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