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Psychophysiological Specificity of Four Basic Emotions Through Autobiographical Recall and Videos

  • Alice Chirico
  • Pietro Cipresso
  • Andrea Gaggioli
Conference paper
Part of the Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering book series (LNICST, volume 253)

Abstract

Current theories of emotion generally agree that basic emotions involve several systems with a considerable degree of specificity at the psychophysiological level. Analyzing the psychophysiological profiles of emotions allowed to understand if individuals felt the target emotional states or if they perceived it into the emotional material. Here, we explored the sensitivity of autobiographical recall and videos in reproducing emotional psychophysiological specificity even in the lab. We recorded 40 participants’ psychophysiological profiles of anger, fear, joy, sadness elicited through videos and autobiographical recall, following a within subject design, in a counterbalanced order. We assessed the autonomic responding (i.e., heart rate) during each emotion induction (3 min length) using a ProComp Infinity 8-channel (Thought Technology Ltd, Montreal, Canada). The sampling rate was set at 256 Hz. We followed the guidelines of Task Force of the European Society of Cardiology and the North American Society of Pacing and Electrophysiology, to extract typical temporal and spectral HRV measures and to evaluate the response of the autonomic nervous system. Specifically, we classified the rhythms as very low frequency (VLF, <0.04 Hz), and high frequency (HF, 0.15 to 0.4 Hz) oscillations. Results showed that emotions induced through autobiographical recall could be better differentiated than those elicited using videos. We found significant interaction effects of 4 emotions × 2 conditions (video vs. autobiographical recall) measuring both sympathetic (VLF) and parasympathetic activity (HF). Autobiographical recall could recreate a differential activation of the sympathetic and parasympathetic nervous system for each emotion, which was mostly in line with existing literature. However, videos did not allow discriminating different emotional states clearly at the psychophysiological level. These findings suggested autobiographical recall as a more suitable technique to recreate basic emotions’ psychophysiological activation in the lab. Finally, these results offered some insights into the issue of whether emotions induced in the lab are perceived or really felt by participants.

Keywords

Psychophysiology Patterning Basic emotions Videos Autobiographical recall Emotion specificity 

References

  1. 1.
    Lewis, M., Haviland-Jones, J.M., Barrett, L.F.: Handbook of Emotions. Guilford Press, New York (2010)Google Scholar
  2. 2.
    Lerner, J.S., Keltner, D.: Fear, anger, and risk. J. Pers. Soc. Psychol. 81(1), 146 (2001)CrossRefGoogle Scholar
  3. 3.
    Lench, H.C., Flores, S.A., Bench, S.W.: Discrete emotions predict changes in cognition, judgment, experience, behavior, and physiology: a meta-analysis of experimental emotion elicitations. Psychol. Bull. 137(5), 834 (2011)CrossRefGoogle Scholar
  4. 4.
    Frijda, N.H.: Emotions and action. In: Feelings and Emotions: The Amsterdam Symposium (2004)Google Scholar
  5. 5.
    Cannon, W.B.: Bodily Changes in Pain, Hunger, Fear, and Rage: An Account of Recent Researches into the Function of Emotional Excitement. D. Appleton, New York (1916)Google Scholar
  6. 6.
    Lang, P.J.: The cognitive psychophysiology of emotion: fear and anxiety (1985)Google Scholar
  7. 7.
    Frijda, N.H.: The emotions: studies in emotion and social interaction. Edition de la (1986)Google Scholar
  8. 8.
    Stemmler, G.: Physiological processes during emotion. In: The Regulation of Emotion, pp. 33–70 (2004)Google Scholar
  9. 9.
    Levenson, R.W.: The autonomic nervous system and emotion. Emot. Rev. 6(2), 100–112 (2014)CrossRefGoogle Scholar
  10. 10.
    Kreibig, S.D.: Autonomic nervous system activity in emotion: a review. Biol. Psychol. 84(3), 394–421 (2010)CrossRefGoogle Scholar
  11. 11.
    Stemmler, G., Aue, T., Wacker, J.: Anger and fear: separable effects of emotion and motivational direction on somatovisceral responses. Int. J. Psychophysiol. 66(2), 141–153 (2007)CrossRefGoogle Scholar
  12. 12.
    Ekman, P., Levenson, R.W., Friesen, W.V.: Autonomic nervous system activity distinguishes among emotions. Am. Assoc. Adv. Sci. 221, 1208–1210 (1983)Google Scholar
  13. 13.
    Adolphs, R.: The biology of fear. Curr. Biol. 23(2), R79–R93 (2013)CrossRefGoogle Scholar
  14. 14.
    Rainville, P., et al.: Basic emotions are associated with distinct patterns of cardiorespiratory activity. Int. J. Psychophysiol. 61(1), 5–18 (2006)CrossRefGoogle Scholar
  15. 15.
    Schacter, D.L.: Searching for Memory: The Brain, the Mind, and the Past. Basic Books, New York (2008)Google Scholar
  16. 16.
    Levine, L.J.: Reconstructing memory for emotions. J. Exp. Psychol. Gen. 126(2), 165 (1997)CrossRefGoogle Scholar
  17. 17.
    Buchanan, T.W.: Retrieval of emotional memories. Psychol. Bull. 133(5), 761 (2007)CrossRefGoogle Scholar
  18. 18.
    Griskevicius, V., Shiota, M.N., Neufeld, S.L.: Influence of different positive emotions on persuasion processing: a functional evolutionary approach. Emotion 10(2), 190 (2010)CrossRefGoogle Scholar
  19. 19.
    Parrott, W.G., Hertel, P.: Research methods in cognition and emotion. In: Handbook of Cognition and Emotion, pp. 61–81 (1999)CrossRefGoogle Scholar
  20. 20.
    Tsuchiya, N., et al.: No-report paradigms: extracting the true neural correlates of consciousness. Trends Cogn. Sci. 19(12), 757–770 (2015)CrossRefGoogle Scholar
  21. 21.
    Pascual-Leone, A., Herpertz, S.C., Kramer, U.: Experimental designs and the ‘emotion stimulus critique’: hidden problems and potential solutions in the study of emotion. Psychopathology 49(1), 60–68 (2016)CrossRefGoogle Scholar
  22. 22.
    Martin, M.: On the induction of mood. Clin. Psychol. Rev. 10(6), 669–697 (1990)CrossRefGoogle Scholar
  23. 23.
    Carvalho, S., et al.: The emotional movie database (EMDB): a self-report and psychophysiological study. Appl. Psychophysiol. Biofeedback 37(4), 279–294 (2012)CrossRefGoogle Scholar
  24. 24.
    Heart rate variability: standards of measurement, physiological interpretation, and clinical use. Task force of the European society of cardiology and the North American society of pacing and electrophysiology. Circulation 93, 1043–1065 (1996)CrossRefGoogle Scholar
  25. 25.
    Ray, R.D., Gross, J.J.: Emotion elicitation using films. In: Coan, J.A., Allen, J.J.B. (ed.) Handbook of Emotion Elicitation and Assessment, pp. 9–28. Oxford University Press, New York (2007)Google Scholar
  26. 26.
    Gilet, A.: Procédures d’induction d’humeurs en laboratoire: une revue critique [Mood induction procedures: a critical review]. L’encéphale 34, 233–239 (2008)CrossRefGoogle Scholar
  27. 27.
    Westermann, R., Stahl, G., Hesse, F.: Relative effectiveness and validity of mood induction procedures: analysis. Eur. J. Soc. Psychol. 26, 557–580 (1996)CrossRefGoogle Scholar
  28. 28.
    Diemer, J., et al.: The impact of perception and presence on emotional reactions: a review of research in virtual reality. Front. Psychol. 6, 26 (2015)CrossRefGoogle Scholar
  29. 29.
    Felnhofer, A., et al.: Is virtual reality emotionally arousing? Investigating five emotion inducing virtual park scenarios. Int. J. Hum. Comput. Stud. 82, 48–56 (2015)CrossRefGoogle Scholar
  30. 30.
    Riva, G., et al.: Transforming experience: the potential of augmented reality and virtual reality for enhancing personal and clinical change. Front. Psychiatry 7, 164 (2016)CrossRefGoogle Scholar
  31. 31.
    Riva, G., et al.: Affective interactions using virtual reality: the link between presence and emotions. CyberPsychol. Behav. 10(1), 45–56 (2007)CrossRefGoogle Scholar
  32. 32.
    Chirico, A., Cipresso, P., Gaggioli, A.: Psychophysiological correlate of compex spherical awe stimuli. Neuropsychol. Trends (2016)Google Scholar
  33. 33.
    Chirico, A., et al.: Effectiveness of immersive videos in inducing awe: an experimental study. Sci. Rep. 7(1), 1218 (2017)CrossRefGoogle Scholar
  34. 34.
    Shiota, M.N., et al.: Beyond happiness: building a science of discrete positive emotions. Am. Psychol. 72(7), 617 (2017)CrossRefGoogle Scholar

Copyright information

© ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2018

Authors and Affiliations

  • Alice Chirico
    • 1
  • Pietro Cipresso
    • 1
    • 2
  • Andrea Gaggioli
    • 1
    • 2
  1. 1.Department of PsychologyUniversità Cattolica Del Sacro CuoreMilanItaly
  2. 2.Applied Technology for Neuropsychology LabIstituto Auxologico Italiano, IRCCSMilanItaly

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