Induced emotional expressions: reconstruction of perceptual categories

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Abstract

Images of face with naturally transformed internal structure cause the impression of the presence of emotional expressions in the absence of relevant facial characteristics. Recognition of such images appears a relatively complex task to the observer. The classical analysis in terms of classification of the accuracy of solutions for different pairs of images is ineffective in this case. The model of categorical adjustment predicts the existence of asymmetry of wrong answers in the recognition of face images. The obtained results correspond to this model, allowing us to identify the perceptual categories used in solving the problem of recognition, and to clarify their characteristics.

General Information

Keywords: induced expression, perceptual categories, the perception of face, discriminatory problem, model of categorical adjustment

Journal rubric: Psychology of Perception

Article type: scientific article

DOI: https://doi.org/10.17759/exppsy.2015080403

For citation: Zhegallo A.V., Khoze E.G. Induced emotional expressions: reconstruction of perceptual categories. Eksperimental'naâ psihologiâ = Experimental Psychology (Russia), 2015. Vol. 8, no. 4, pp. 30–44. DOI: 10.17759/exppsy.2015080403. (In Russ., аbstr. in Engl.)

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Information About the Authors

Alexander V. Zhegallo, PhD in Psychology, Senior Researcher at the Laboratory of Systems Research of the Psyche, Institute of Psychology of the Russian Academy of Sciences, Researcher at the Center for Experimental Psychology of MSUPE, Moscow, Russia, ORCID: https://orcid.org/0000-0002-5307-0083, e-mail: zhegalloav@ipran.ru

Evgeny G. Khoze, PhD in Psychology, Senior Researcher, Institute of Experimental Psychology, Moscow State University of Psychology and Education, Head of the Laboratory of Experimental and Practical Psychology,Associate Professor, Department of General Psychology,Moscow Institute of Psychoanalysis, Moscow, Russia, ORCID: https://orcid.org/0000-0001-9355-1693, e-mail: house.yu@gmail.com

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