Effects of Gender and Luminance Backgrounds on the Recognition of Neutral Facial Expressions

  • Vincenzo Capuano
  • Gennaro Cordasco
  • Filomena Scibelli
  • Mauro Maldonato
  • Marcos Faundez-Zanuy
  • Anna Esposito
Chapter
Part of the Smart Innovation, Systems and Technologies book series (SIST, volume 69)

Abstract

In this study we challenged the universal view of facial emotion perception evaluating the effects of gender and different luminance backgrounds on the recognition accuracy of neutral facial expressions. To this aim, we applied the Ekman standard paradigm for assessing the human ability to decode neutral facial expressions reproduced on black, white and grey backgrounds and portrayed by male and female actors. The exploited stimuli consisted of 10 different neutral faces (5 females) selected from the Dutch Radboud database (Langner et al. Cogn Emot, 2010 [21]) where luminance backgrounds were changed in black, grey and white. The resulted 30 stimuli were assessed by 31 subjects (16 females) who were asked to tag each of them with one of the six primary emotion labels. The data analysis demonstrates a significant gender effect where neutral male faces are less accurately decoded than females ones. On the other hand, no effects of luminance backgrounds have been identified.

Keywords

Emotions Emotional recognition Neutral facial expressions Socio-cultural influence Gender effects 

References

  1. 1.
    Aviezer, H., et al.: Angry, disgusted, or afraid? Studies on the malleability of emotion perception. Psychol. Sci. 19(7), 724–732 (2008)CrossRefGoogle Scholar
  2. 2.
    Barrett, L.F.: Variety is the spice of life: a psychological construction approach to understanding variability in emotion. Cogn. Emot. 23(7), 1284–1306 (2009)CrossRefGoogle Scholar
  3. 3.
    Barrett, L.F., Mesquita, B., Gendron, M.: Context in emotion perception. Curr. Dir. Psychol. Sci. 20(5), 286–290 (2011)CrossRefGoogle Scholar
  4. 4.
    Capuano, V., Riviello, M.T., Cordasco, G., Mekyska, J., Faundez-Zanuy, M., Esposito, A.: Assessing natural emotional facial expressions: an evaluation of the I.Vi.T.E. database. In: von Dieter Mehnert, H., Kordon, U., Wolff, M. (eds.) Rüdiger Hoffmann zum, vol. 65, pp. 249–255. Geburtstag Systemtheorie Signalverarbeitung Sprachtechnologie, TUD press. Kartoniert (2013)Google Scholar
  5. 5.
    Carroll, J.M., Russell, J.A.: Do facial expressions signal specific emotions? Judging emotion from the face in context. J. Pers. Soc. Psychol. 70(2), 205 (1996)CrossRefGoogle Scholar
  6. 6.
    Cheon, Y., Kim, D.: Natural facial expression recognition using differential-AAM and manifold learning. Pattern Recogn. 42(7), 1340–1350 (2009)CrossRefMATHGoogle Scholar
  7. 7.
    da Pos, O., Green-Armytage, P.: Facial expressions, colours and basic emotions. JAIC-J. Int. Colour Assoc. 1 (2012)Google Scholar
  8. 8.
    de Gelder, B., Meeren, H.K., Righart, R., Van den Stock, J., van de Riet, W.A., Tamietto, M.: Beyond the face: exploring rapid influences of context on face processing. Prog. Brain Res. 155, 37–48 (2006)Google Scholar
  9. 9.
    Ekman, P., Cordaro, D.: What is meant by calling emotions basic. Emot. Rev. 3(4), 364–370 (2011). doi: 10.1177/1754073911410740 CrossRefGoogle Scholar
  10. 10.
    Esposito A, Capuano V, Mekyska J, Faundez-Zanuy M: A naturalistic database of thermal emotional facial expressions and effects of induced emotions on memory. In: Esposito, A., et al. (eds.) Behavioural cognitive systems, LNCS, vol. 7403, pp. 158–173. Springer, Heidelberg (2012). ISBN: 978-3-642-34583-8 e-ISBN 978-3-642-34584-5Google Scholar
  11. 11.
    Esposito, A.: The situated multimodal facets of human communication. In: Coverbal Synchrony in Human-Machine Interaction, pp. 173–202 (2013a)Google Scholar
  12. 12.
    Esposito, A.: Emotional expressions: communicative displays or psychological universals?. In: COST Strategic Workshop on Social Robot Booklet-Perception. www.cost.eu/download/38170, p. 32 (2013b)
  13. 13.
    Esposito, A., Esposito, A.M., Vogel, C.: Needs and challenges in human computer interaction for processing social emotional information. Pattern Recogn. Lett. 66, 41–51 (2015a)CrossRefGoogle Scholar
  14. 14.
    Esposito, A., Palumbo, D., Troncone, A.: Effects of narrative identities and attachment style on the individual’s ability to categorize emotional voices. In: Bassis S. et al. (eds.) Advances in Neural Networks: Computational and Theoretical Issues, Springer International Publishing Switzerland, SIST Series, vol. 37, pp. 265–272 (2015b)Google Scholar
  15. 15.
    Esposito, A., Jain, L. C.: Modeling Emotions in Robotic Socially Believable Behaving Systems Toward Robotic Socially Believable Behaving Systems, vol. I, pp. 9–14. Springer (2016)Google Scholar
  16. 16.
    Fridlund, A. J.: The new ethology of human facial expressions. In: The Psychology of Facial Expression, vol. 112, pp. 103–129 (1997)Google Scholar
  17. 17.
    Hall, E.: The hidden dimension. Garden City, NY: Doubleday (1966)Google Scholar
  18. 18.
    Izard, C.E.: Innate and universal facial expressions: evidence from developmental and cross-cultural research. Psychol. Bull. 115(2), 288–299 (1994)CrossRefGoogle Scholar
  19. 19.
    Joosten, E., Van Lankveld, G., Spronck, P.: Influencing player emotions using colors. J. Intell. Comput. 3(2), 76–86 (2012)Google Scholar
  20. 20.
    Lambrecht, L., Kreifelts, B., Wildgruber, D.: Gender differences in emotion recognition: impact of sensory modality and emotional category. Cogn. Emot. 28(3), 452–469 (2014)CrossRefGoogle Scholar
  21. 21.
    Langner, O., Dotsch, R., Bijlstra, G., Wigboldus, D.H.J., Hawk, S.T., van Knippenberg, A.: Presentation and validation of the Radboud Faces Database. Cogn. Emot. (2010)Google Scholar
  22. 22.
    Maldonato, N.M., Dell’Orco, S.: Making decision under uncertainty, emotions, risk and biases. In: Bassis, S., Esposito, A., Morabito, F.C. (eds.) Advances in Neural Networks: Computational and Theoretical Issues, SIST series, vol. 37, pp. 293–302. Springer International Publishing, Switzerland (2015)Google Scholar
  23. 23.
    Masuda, T., Ellsworth, P.C., Mesquita, B., Leu, J., Tanida, S., Van de Veerdonk, E.: Placing the face in context: cultural differences in the perception of facial emotion. J. Pers. Soc. Psychol. 94(3), 365–381 (2008). doi: 10.1037/0022-3514.94.3.365 CrossRefGoogle Scholar
  24. 24.
    Masuda, T., Gonzalez, R., Kwan, L., Nisbett, R.E.: Culture and aesthetic preference: comparing the attention to context of East Asians and Americans. Pers. Soc. Psychol. Bull. 34(9), 1260–1275 (2008). doi: 10.1177/0146167208320555 CrossRefGoogle Scholar
  25. 25.
    Matsumoto, D., Keltner, D., Shiota, M. N., Frank, M. G., O’Sullivan, M.: What’s in a face? Facial expressions as signals of discrete emotions. In: Lewis, M., Haviland, J.M., Feldman Barrett, L. (eds.) Handbook of Emotions, pp. 211–234. Guildford Press, New York (2008)Google Scholar
  26. 26.
    Matsumoto, D., Seung Hee, Y., Fontaine, J.: Mapping expressive differences around the world: the relationship between emotional display rules and individualism versus collectivism. J. Cross Cult. Psychol. 39(1), 55–74 (2008). doi: 10.1177/0022022107311854 CrossRefGoogle Scholar
  27. 27.
    Mehu, M., Scherer, K.R.: A psycho-ethological approach to social signal processing. Cogn. Process. 13(2), 397–414 (2012)CrossRefGoogle Scholar
  28. 28.
    Oberascher, L., Gallmetzer, M.: Colour and emotion. In: Proceedings of AIC 2003 Bangkok: Color Communication Management, pp. 370–374 (2003)Google Scholar
  29. 29.
    Righart, R., de Gelder, B.: Rapid influence of emotional scenes on encoding of facial expressions: an ERP study. Soc. Cogn. Affect. Neurosci. 3(3), 270–278 (2008)CrossRefGoogle Scholar
  30. 30.
    Rosenberg, E.L., Ekman, P.: Conceptual and methodological issues in the judgment of facial expressions of emotion. Motiv. Emot. 19(2), 111–138 (1995)CrossRefGoogle Scholar
  31. 31.
    Simmons, D.R.: Colour and emotion. In: New Directions in Colour Studies, pp. 395–414 (2011)Google Scholar
  32. 32.
    Tkalcic, M., Tasic, J.F.: Colour spaces: perceptual, historical and applicational background. In: Paper Presented at the Eurocon (2003)Google Scholar
  33. 33.
    Troncone, A., Palumbo, D., Esposito, A.: Mood effects on the decoding of emotional voices. In: Bassis, S., et al. (eds.) Recent Advances of Neural Network Models and Applications, SIST, vol. 26, pp. 325–332. International Publishing, Switzerland (2014)Google Scholar
  34. 34.
    Wilson-Mendenhall, C.D., Barrett, L.F., Barsalou, L.W.: Situating emotional experience. Front. Hum. Neurosci. 7 (2013)Google Scholar

Copyright information

© Springer International Publishing AG 2018

Authors and Affiliations

  • Vincenzo Capuano
    • 2
  • Gennaro Cordasco
    • 1
  • Filomena Scibelli
    • 2
  • Mauro Maldonato
    • 3
  • Marcos Faundez-Zanuy
    • 4
  • Anna Esposito
    • 1
  1. 1.Dipartimento di PsicologiaUniversità della Campania “Luigi Vanvitelli” and International Institute for Advanced Scientific Studies (IIASS)Vietri sul MareItaly
  2. 2.Dipartimento di PsicologiaUniversità della Campania “Luigi Vanvitelli”CasertaItaly
  3. 3.Dipartimento di Scienze UmaneUniversità della BasilicataPotenzaItaly
  4. 4.Pompeu Fabra UniversityBarcelonaSpain

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