Vol. 13 No. 82 (2024)
Articles

Happy men and machines: an applied approach to affective computing driven by linguistic data

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  • Olha Vakhovska
Olha Vakhovska
Kyiv National Linguistic University, Kyiv, Ukraine.
Author Biography

Associate Professor, Dr. Kyiv National Linguistic University, Kyiv, Ukraine.

DOI: https://doi.org/10.34069/AI/2024.82.10.26

Published 2024-10-30

Keywords

  • affective computing, emotion concept, emotion name, mental image, ontology.

How to Cite

Vakhovska, O. (2024). Happy men and machines: an applied approach to affective computing driven by linguistic data. Amazonia Investiga, 13(82), 317–330. https://doi.org/10.34069/AI/2024.82.10.26

Copyright (c) 2024 Olha Vakhovska

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

Abstract

This paper suggests that affective computing can achieve linguistic and cultural grounding of human knowledge about emotions, in combination of emotion concepts’ diachronic depths and modern contents in a national worldview, matching the evolution that the human mind has gone through. The diachronic depth is an image that had formed in man’s archaic consciousness and was prerequisite for a concept to emerge already in man’s modern consciousness, in that the archaic image converted to a concept and motivated the word that was created as this concept’s name. The paper shows that words for emotions contain original information making emotion concepts’ contents in the archaic worldview, and eventual information making these concepts’ contents in the modern worldview. This information is culture-specific; it is structured using frames and represented in the form of an ontology, which is machine-interpretable when formalized. Since emotion concepts’ diachronic depths are archetypal, their ontological representation is regarded as non-trivial, in view of the fact that artificial minds are not supported by psychological archetypes. This paper’s commitments find application in the case of HAPPINESS in the English worldview. Relevance of this paper’s commitments is substantiated within the field of artificial intelligence, considering the viable link it establishes between ontology of human existence, natural language ontology in particular, and ontology as a computational artifact, and also within the humanistic context, given the global-scale crisis humanity is now facing.

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