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Mathematical Models in Psychology for Stochastic Description of Human Feelings

Dohun Kwon 1 * , Jenna Saeyoon Choi 2
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1 Korea Minjok Leadership Academy2 Bundang International School, Seongnam 13616, Korea* Corresponding Author
International Journal of Social Sciences and Artistic Innovations, 4(4), December 2024, 0001, https://doi.org/10.35745/ijssai2024v04.04.0001
Submitted: 10 September 2024, Published: 30 October 2024
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ABSTRACT

We reviewed the application of mathematical analysis in psychology research, especially on human feelings. As mathematical analysis is widely used for modeling, it also has been applied to study human behavior. There are problems in applying mathematical analysis to psychology research due to the inherent subjectivity with multi-facets, intricacy, and dependence on context and memory of human feelings. Therefore, non-linear mathematical models and artificial intelligence engines are demanded to mimic human intuition for the better performance of models and, further, personalizing models accommodating individual differences. For this, adaptive learning methods need to be employed. Along with such technological considerations, diverse and reliable datasets are also mandatory to construct appropriate mathematical models. Human feelings are intricate and multifaceted, and cannot be easily expressed in mathematics. Therefore, it is necessary to develop mathematical analysis methods to understand and assess human feelings more precisely. With the development of computational technology and data-gathering techniques, existing problems can be solved, and data including sentiment analysis results and facial expressions with time-dependent components can be available. It is expected to have personalized models based on individual differences soon owing to the rapid development of mathematical analysis techniques. Such models to assess and predict human feelings can be used for diverse applications including psychology, marketing, education, and others.
Keywords: Mathematical Analysis, Modeling, Human Feelings, Emotions, Quantitive Assessment, Artificial Intelligence, Non-linear Model

CITATION (APA)

Kwon, D., & Choi, J. S. (2024). Mathematical Models in Psychology for Stochastic Description of Human Feelings. International Journal of Social Sciences and Artistic Innovations, 4(4), 0001. https://doi.org/10.35745/ijssai2024v04.04.0001

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