The perception of emotional expressions of varying degrees of definition during the stroboscopic exposure of the face and its masking
PDF (Russian)

Keywords

basic emotions
facial expressions
fuzzy images
stroboscopic exposure
visual masking
face perception
apparent movement
thresholds of accuracy
stereoscopic sensitization
perceptogenesis

Abstract

This paper examines the role of facial apparent movements in the assessment of basic emotional expressions in favorable and adverse conditions of perception. A previous study has shown that movement could not improve the accuracy of the assessment of emotions in the presence of the detailed information about the configuration of the face. The present investigation aimed at searching conditions in
which dynamics provided better assessment of facial expressions. In the psychophysical experiment the modality of expression (6 basic emotions and neutral face), the context, the time of exposure of the face (50, 100, or 200 ms), and the degree of its defocusing (clear or blurry images) varied. The stimulus situation type determined
the content of the context: the stroboscopic exposure of expressions against the background of a neutral face or their direct and reverse visual masking by a randomized pattern. The use of a Gaussian filter with pixel values of 20, 40, or 60 provided defocusing. The authors analyzed the data using the method of mixedeffects logistic regression; the frequencies of correct answers in the experimental conditions were compared using linear contrasts. The findings of the study revealed that during stroboscopic exposure the apparent movement ensured the preservation of the accuracy of recognition of basic emotions
even in the least favorable conditions of perception (at minimum exposure time and maximum image defocusing). For clear or slightly defocused images the accuracy of assessments when masking and the stroboscopic change of the expression coincided.
Masking led to a significant reduction in the accuracy of the assessments of emotions  when deteriorating the conditions of perception. The impact of masking was higher when assessing low-attractive emotions (disgust, fear, sadness, and anger); highattractive
emotions (joy, surprise, and calm state) were assessed most adequately
in all stimulus situations. The obtained effect of stroboscopic sensitization indicated the similarity of the impact of a real and apparent movement on the assessment of emotional states.

https://doi.org/10.21702/rpj.2016.4.12
PDF (Russian)

References

Barabanshchikov V. A. Vospriyatievyrazheniilitsa [Perception of facial expressions]. Moscow, Institute of Psychology of the RAS Publ., 2009.
Barabanshchikov V. A. Ekspressiilitsaiikhvospriyatie [Facial expressions and their perception]. Moscow, Institute of Psychology of the RAS Publ., 2012.
Barabanshchikov V. A., Zhegallo A. V., Korol'kova O. A. Pertseptivnayakategorizatsiyavyrazheniilitsa [Perceptual categorization of facial expressions]. Moscow, Kogito-Tsentr Publ., 2016.
Barabanshchikov V. A., Korol'kova O. A., Lobodinskaya E. A. Vospriyatieemotsional'nykhekspressiilitsapri ego maskirovkeikazhushchemsyadvizhenii [The perception of facial expressions of emotions during masking and apparent motion]. Eksperimental'nayapsikhologiya– Experimental Psychology, 2015, V. 8, no. 1, pp. 7–27.
Barabanshchikov V. A., Korol'kova O. A., Lobodinskaya E. A. Raspoznavanieemotsional'nykhekspressiilitsa v usloviyakhstroboskopicheskoiekspozitsii: Estestvenno-nauchnyipodkhod v sovremennoipsikhologii[The recognition of facial expressions emotions during stroboscopic exposure: Natural-scientific approach in modern psychology]. Moscow, Institute of Psychology of the RAS Publ., 2014, pp. 371–378.
Barabanshchikov V. A., Nosulenko V. N. Sistemnost'. Vospriyatie. Obshchenie [Systemacy. Perception. Communication]. Moscow, Institute of Psychology of the RAS Publ., 2004.
Korol'kova O. A. Kategorizatsiyastaticheskikhidinamicheskikhperekhodnykhekspressiilitsa: Estestvenno-nauchnyipodkhod v sovremennoipsikhologii [Categorization of static and dynamic transitional facial expressions: Natural-scientific approach in modern psychology]. Moscow, Institute of Psychology of the RAS Publ., 2014, pp. 409–416.
Korol'kova O. A. Pertseptivnoeprostranstvoiprediktoryrazlicheniyaemotsional'nykhekspressiilitsa [The perceptual space and predictors of the discrimination of facial expressions of emotions]. Rossiiskiizhurnalkognitivnoinauki– Russian Journal of Cognitive Science, 2014, V. 1, no. 4, pp. 82–97.
Ullmann S. Principles of the perception of moving objects (Russ. ed.: Ul'man Sh. Printsipyvospriyatiyapodvizhnykhob"ektov. Moscow, Radio isvyaz' Publ., 1983.).
Ambadar Z., Schooler J., Cohn J. Deciphering the enigmatic face: The importance of facial dynamics in interpreting subtle facial expressions.Psychological Science, 2005, V. 16, pp. 403–410. doi:10.1111/j.0956-7976.2005.01548.x
Bates D., Maechler M., Bolker B., Walker S. Fitting Linear Mixed-Effects Models Using lme4.Journal of Statistical Software, 2015, V. 67, no. 1, P. 48. doi:10.18637/jss.v067.i01
Bould E., Morris N. Role of motion signals in recognizing subtle facial expressions of emotion.British Journal of Psychology, 2008, V. 99, pp. 167–189. doi:10.1348/000712607X206702
Calder A. J., Young A. W., Perrett D. I., Etcoff N. L., Rowland D. Categorical perception of morphed facial expressions.Visual Cognition, 1996, V. 3, no. 2, pp. 81–117.
Delis I., Chen C., Jack R. E., Garrod O. G. B., Panzeri S., Schyns P. G. Space-by-time manifold representation of dynamic facial expressions for emotion categorization.Journal of Vision, 2016, V. 16, no. 8, P. 14. doi:10.1167/16.8.14
Fiorentini C., Viviani P. Is there a dynamic advantage for facial expressions? Journal of Vision, 2011, V. 11, no. 3, pp. 1–15. doi:10.1167/11.3.17
Jaeger T. F. Categorical data analysis: Away from ANOVAs (transformation or not) and towards logit mixed models.Journal of Memory and Language, 2008, V. 59, no. 4, pp. 434–446. doi:10.1016/j.jml.2007.11.007
Katsyri J., Sams M. The effect of dynamics on identifying basic emotions from synthetic and natural faces.International Journal of Human-Computer Studies, 2008, V. 66, pp. 233–242. doi:10.1016/j.ijhcs.2007.10.001
Kolers P. A. Aspects of motion perception. Oxford: Pergamon Press, 1972. doi:10.1016/B978-08-016843-2.50018-5
Langner O., Dotsch R., Bijlstra G., Wigboldus D. H. J., Hawk S. T., van Knippenberg A. Presentation and validation of the Radboud Faces Database.Cognition & Emotion, 2010, V. 24, no. 8, pp. 1377–1388. doi:10.1080/02699930903485076
R Core Team. R:A Language and Environment for Statistical Computing. Vienna: R Foundation for Statistical Computing, 2016. Available at: https://www.R-project.org