Bondarenko Yakov A.
PhD student, Faculty of Psychology, Lomonosov Moscow State University; Senior Researcher, ООО LKL (F2FGroup); lecturer, The Russian Presidential Academy of National Economy and Public Administration
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Exploring analytical and holistic processing in facial expression recognitionLomonosov Psychology Journal, 2020, 2. p. 103-140read more3112
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Background. The study explores two main processes of perception of facial expression: analytical (perception based on individual facial features) and holistic (holistic and non-additive perception of all features). The relative contribution of each process to facial expression recognition is still an open question.
Objective. To identify the role of holistic and analytical mechanisms in the process of facial expression recognition.
Methods. A method was developed and tested for studying analytical and holistic processes in the task of evaluating subjective differences of expressions, using composite and inverted facial images. A distinctive feature of the work is the use of a multi-dimensional scaling method, by which a judgment of the contribution of holistic and analytical processes to the perception of facial expressions is based on the analysis of the subjective space of the similarity of expressions obtained when presenting upright and inverted faces.
Results. It was shown, first, that when perceiving upright faces, a characteristic clustering of expressions is observed in the subjective space of similarities of expression, which we interpret as a predominance of holistic processes; second, by inversion of the face, there is a change in the spatial configuration of expressions that may reflect a strengthening of analytical processes; in general, the method of multidimensional scaling has proven its effectiveness in solving the problem of the relation between holistic and analytical processes in recognition of facial expressions.
Conclusion. The analysis of subjective spaces of the similarity of emotional faces is productive for the study of the ratio of analytical and holistic processes in the recognition of facial expressions.
Keywords: facial expression recognition; basic and composite facial expressions; analytical and holistic processes; inversion effect; multi-dimensional scaling; diagnostic features DOI: 10.11621/vsp.2020.02.06
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