Predictors of Nonverbal Recognition of Emotional Facial Expressions

The work was carried out in the paradigm of analyzing the structure of erroneous responses when performing the identification of emotional facial expressions. The subjects performed the task of non-verbal recognition of facial expressions at tachistoscopic exposure time (16 ms, 8 ms, 4 ms). The search for predictors that determine the partial proportions of responses for different combinations (response, expression shown) was performed among the subscales of the Boyko empathy questionnaire, the EmIn questionnaire, the analytical-holistic scale, and the Alekseev thinking styles questionnaire. The study involved students from Moscow universities. Sample size: 49 people, 9 men, 40 women, average age m=22.2 years, sd=4.45.The identified predictors are specific (not universal) in nature, different for different combinations of the presented image and the assessment performed. We believe that this result should be interpreted as indicating the presence of competing parallel processes associated with testing for the presence of different emotional expressions. The selected system of predictors is not complete. A promising direction for further research is expanding the scope of the search for predictors through methods that measure individual personality characteristics and the level of anxiety.

1. Alekseev A.A., Gromova L.A. Pojmite menja pravil'no ili kniga o tom, kak najti svoj stil' myshlenija, jeffektivno ispol'zovat' intellektual'nye resursy i obresti vzaimoponimanie s ljud'mi [Don't get me wrong, or a book about how to find your own thinking style, effectively use intellectual resources and gain mutual understanding with people]. SPb., Ekonomicheskaia shkola, 1993 (In Russ.).
2. Apanovich V.V., Znakov V.V., Aleksandrov Yu.I. Aprobacija shkaly analitichnosti — holistichnosti na rossijskoj vyborke [Approbation of the analytical-holistic scale on a Russian sample]. Psichologicheskii Zhurnal, 2017. Vol. 38(5), pp. 80—96. (In Russ.).
3. Barabanschikov V.A. Ekspressii lica i ih vospriyatie [Facial expressions and their perception]. Moscow, IPRAS, 2012. (In Russ.).
4. Barabanschikov V.A., Zhegallo A.V., Korolkova O.A. Perceptivnaja kategorizacija vyrazhenij lica [Perceptual categorization of facial expressions]. M.: Cogito-Center, 2016. (In Russ.).
5. Barabanschikov V.A., Korolkova O.A., Lobodinskaia E.A. Zavisimost' vospriyatiya licevyh ekspressij ot prostranstvenno — vremennoj struktury ekspozicii [The dependence of the perception of facial expressions on the spatial and temporal structure of exposure]. Kognitivnye mekhanizmy neverbal'noj kommunikacii [Cognitive Mechanisms of Nonverbal Communication]. Ed. by Barabanschikov V.A. Moscow, Cogito-Center, 2017. Pp. 48—101. (In Russ.).
6. Boiko V.V. Energiya emocij v obshchenii [Energy of emotions in communication]. Moscow, Filin", 1996. (In Russ)
7. Zhegallo A.V., Basul I.A., Vlasov A.V. Konstrukty, izmerjaemye oprosnikami jempatii Bojko i JemIn: vzaimootnoshenija i geneticheskie factory [Constructs measured by the Boyko and EmIn empathy questionnaires: relationships and genetic factors]. Eksperimental'naâ psihologiâ = Experimental Psychology (Russia), 2023. Vol. 16(2), pp. 203—217. DOI:10.17759/exppsy.2023160212 (In Russ.).
8. Zhegallo A.V. Raspoznavanie perifericheski jeksponiruemyh jemocional'nyh jekspressij [Recognition of peripherally exposed emotional expressions]. Eksperimental'naâ psihologiâ = Experimental Psychology (Russia), 2018. Vol. 11(2), pp. 16—33. DOI:10.17759/exppsy.2018110202 (In Russ.).
9. Zhegallo A.V. Otsenka uverennosti v raspoznavanii i razlichenii ob"yektov v zadachakh s neopredelennost'yu v ramkakh vektornoy modeli diskriminatsii stimulov Ye.N. Sokolova [Assessment of confidence in recognizing and distinguishing objects in tasks with uncertainty within the framework of a vector model of stimulus discrimination E.N. Sokolova]. Chelovek v usloviyakh neopredelennosti: sbornik nauchnykh trudov v 2-kh tomakh [Man in conditions of uncertainty: a collection of scientific works in 2 volumes] Samara: Samarskii gos. teh. Universitet, 2018. Vol. 1, pp. 37—40. (In Russ.).
10. Liusin D.V. Novaya metodika dlya izmereniya emocional'nogo intellekta: oprosnik EmIn [A New Method for Measuring Emotional Intelligence: the EmIn Questionnaire]. Psichologicheskaia Diagnostika, 2006. No. 4, pp. 3—22. (In Russ.).
11. Okatova M.A. Aprobatsiya russkoyazychnoy versii oprosnika kognitivnoy i affektivnoy empatii

[Approbation of the Russian-language version of the cognitive and affective empathy questionnaire]. Psikhologiya. Zhurnal Vysshey shkoly ekonomiki [Psychology. Journal of the Higher School of Economics], 2021. Vol. 18(4), pp. 685—699. DOI:10.17323/1813-8918-2021-4-685-699 (In Russ.).

12. Sergienko E.A. Emotsional’nyy intellekt — razrabotka ponyatiya [Emotional intelligence — concept development]. Razrabotka ponyatiy v sovremennoy psikhologii [Development of concepts in modern psychology]. M.: IPRAS, 2019. Pp. 201—254. (In Russ.).
13. Skotnikova I.G. Problemy sub"yektivnoy psikhofiziki [Problems of subjective psychophysics]. Moscow: IPRAS, 2008.
14. Chrisanfova L.A. Dinamika vosprijatija jekspressij lica [Dynamics of perception of facial expressions]: Diss. ...cand. Psychol. sciences. М., 2004.
15. Chrisanfova L.A. Emocional'naya sensitivnost' [Emotional sensitivity]. Rostov-na-Donu, izdatel'stvo yuzhnogo federal'nogo universiteta, 2022. (In Russ.).
16. Chrisanfova L.A. Features of Recognizing Facial Expressions in Short Time Intervals: the Level of Anxiety and Professional Affiliation. Eksperimental'naâ psihologiâ = Experimental Psychology (Russia), 2021. Vol. 14, no. 3, pp. 91—103. DOI:10.17759/exppsy.2021140307 (In Russ., аbstr. in Engl.).
17. SHendyapin V.M., Skotniolova I.G. Modelirovanie prinyatiya resheniya i uverennosti v sensornyh zadachah [Modeling decision making and confidence in sensory tasks]. Moscow, IPRAS, 2015. (In Russ.).
18. SHendyapin V.M., Skotniolova I.G. Rasshirenie modeli prinyatiya resheniya i uverennosti v sensornyh zadachah na vospriyatie mnogopriznakovyh perceptivnyh ob"ektov [Extension of the decision-making model and confidence in sensory tasks to the perception of multi-attribute perceptual objects]. Lico cheloveka: poznanie, obshchenie, deyatel'nost' [Human face: cognition, communication, activity]. In Ed. K.I. Ananieva, V.A. Barabanschikov, A.A. Demidov. Moscow, Cogito-Center—Moscow Institute of Psychoanalysis, 2019. Pp. 151—164. (In Russ.).
19. Ekman P. Expression and the nature of emotion. In Approaches to emotion. Ed. Scherer K., Ekman P. Hillsdale, NJ: Erlbaum, 1984. Pp. 319—344.
20. Ekman P., Cordaro D. What is meant by calling emotions basic. Emotion Review, 2011. Vol. 3(4), pp. 364—370.
21. Feldman Barrett L. How Emotions Are Made. The Secret Life of the Brain. Houghton Mifflin Harcourt Boston New York, 2017.
22. Langner O., Dotch R., Bijlstra G., Wigboldus D.H.J., Hawk S.T., van Knipenberg A. Presentation and validation of the Radbound Faces Database. Cognition & Emotion, 2010. Vol. 24(8), pp. 1377—1388.