Reconstruction of a fragment of the perceptual space of emotional facial expressions

 
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Abstract

Context and relevance. The current work continues the studies of the perceived relations of emotional facial expressions. Objective. The aim of the research is to reconstruct the perceptual space of basic emotions and transitional expressions between them. The direct comparison paradigm was tested to reconstruct the perceptual space of transitional emotional rows that form a closed figure. Three transitional rows were used. Hypothesis. It was suggested to obtain a two-dimensional model corresponding to a triangle with basic emotions on the vertices, and the transitional expressions located linearly on the edges. Methods and materials. 40 people (M = 21.4 years) took part in the experiment. During the procedure participants rated the degree of expressions similarity on a scale from 1 to 9, where 9 means “very similar”. Results. The assumed two-dimensional triangle model was reconstructed using multidimensional scaling. It was shown that the direct comparison task can be used to create a complete space of emotional expressions. Conclusions. The observed violations of linearity are explained in terms of perceptual magnetic effect. The calculated resolving power of the method can be used to increase the accuracy of reconstruction quality assessment. Prospects for further research aimed at creating a complete space by connecting reconstructed triangles of transitional rows of emotional facial expressions are presented.

General Information

Keywords: emotional facial expressions, direct comparison task, perceived similarity, multidimensional scaling

Journal rubric: Face Science

OpenAlex citations: 0

OpenAlex trends: Face Recognition and Perception, Emotion and Mood Recognition, Morphological variations and asymmetry

Information about the work in OpenAlex

Number of citations: 0

Topics

Face Recognition and Perception

This cluster of papers explores the neural mechanisms underlying face perception, recognition, and emotional expression processing in the human brain. It delves into topics such as the distributed cortical network for face perception, functional compartmentalization in the ventral temporal cortex, and the role of social cognition in facial identity and emotion recognition. The use of fMRI data and multivariate pattern analysis is prominent in decoding mental states and visual contents from brain activity.

Number of works: 52313  |  Total number of citations: 1174791

Topic detailsв OpenAlex

Emotion and Mood Recognition

This cluster of papers focuses on the recognition and analysis of emotions from various modalities such as facial expressions, physiological signals, and speech. It explores the use of deep learning, affective computing, and multimodal data for emotion recognition in applications including human-computer interaction.

Number of works: 55275  |  Total number of citations: 543734

Topic detailsв OpenAlex

Morphological variations and asymmetry

This cluster of papers focuses on advances in geometric morphometrics, statistical analysis, and quantitative genetics to study shape variation, morphological integration, modularity, and cranial evolution. It explores methods for landmark-based analysis, phylogenetic analysis, and developmental stability in the context of evolutionary biology.

Number of works: 83828  |  Total number of citations: 570785

Topic detailsв OpenAlex

Work details in OpenAlex

Article type: scientific article

DOI: https://doi.org/10.17759/exppsy.2025180403

Received 16.10.2024

Revised 21.04.2025

Accepted

Published

For citation: Fomicheva, A.D. (2025). Reconstruction of a fragment of the perceptual space of emotional facial expressions. Experimental Psychology (Russia), 18(4), 47–63. (In Russ.). https://doi.org/10.17759/exppsy.2025180403

© Fomicheva A.D., 2025

License: CC BY-NC 4.0

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Information About the Authors

Arina D. Fomicheva, Postgraduate student, Laboratory of cognitive processes and mathematical psychology, Institute of Psychology, Russian Academy of Sciences, Moscow, Russian Federation, ORCID: https://orcid.org/0000-0003-2622-1816, e-mail: fomar1999@mail.ru

Contribution of the authors

The author declares no conflict of interest.

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