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Assessing the Emotional Reaction to Negative Pictures Through Electrodermal Activity Data

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Advances in Human Factors and System Interactions (AHFE 2021)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 265))

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Abstract

We are constantly exposed to countless visual stimuli that trigger different emotions and reactions in individuals. Assessing one’s own reactions to visual stimuli can be a powerful tool for diagnosing a person’s psychological state, as well as to evaluate, objectively, the effects of one’s interaction with the environment. Currently, the measurement of this emotional responsiveness to visual stimulation is mostly carried out by means of self-reporting questionnaires, which lead to a quite subjective assessment of the emotional impact of the presented stimuli. The aim of this study is to investigate the use of Electrodermal Activity (EDA) to predict the level of emotional response of individuals to negatively charged pictures. With this purpose, we collected EDA signals from 25 participants, while they visualized a sequence of 75 emotional response pictures, from the International Affective Picture System (IAPS). The most relevant EDA parameters, such as amplitude, area, skin conductance levels and the number of specific responses were statistically confronted with the arousal and valence of each image. This analysis showed the expected increase in the first three parameters for high arousal pictures. We also found that more neutral valenced ones had higher amplitude and skin conductance levels than pictures with negative valence. Those results show that the Electrodermal Activity can be used as an objective indicator to evaluate emotional arousal, as a response to viewing negative pictures. In addition, it opens the possibility to use such electrophysiological measurements, in a clinical, social or ludic context and, in such way improve certain forms of diagnosis, as well as assess the efficiency of visual interaction with a particular individual, while allowing for a more objective way to monitor the emotional effects of said interaction.

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References

  1. Zangróniz, R., Martínez, A., Pastor, J.M., López, M.T., Fernández-Caballero, A.: Electrodermal activity sensor for classification of calm/distress condition. Sensors (Switzerland) 17(10), 1–14 (2017)

    Article  Google Scholar 

  2. Aday, J., Rizer, W., Carlson, J.M.: Neural Mechanisms of Emotions and Affect. Elsevier Inc., New York (2017)

    Google Scholar 

  3. Fusar-poli, P., et al.: Functional atlas of emotional faces processing: a voxel-based meta-analysis of 105 funcional magnetic resonance imaging studies, vol. 44, pp. 418–432 (2009)

    Google Scholar 

  4. Esslen, M., Pascual-Marqui, R.D., Hell, D., Kochi, K., Lehmann, D.: Brain areas and time course of emotional processing. Neuroimage 21(4), 1189–1203 (2004)

    Article  Google Scholar 

  5. Pinto, J., Fred, A., Da Silva, H.P.: Biosignal-based multimodal emotion recognition in a valence-arousal affective framework applied to immersive video visualization. In: Annual International Conference IEEE Engineering Medical Biology Society, pp. 3577–3583 (2019)

    Google Scholar 

  6. Kim, J., Andre, E.: Emotion recognition based on physiological changes in music listening. IEEE Trans. Pattern Anal. Mach. Intell. 30(12), 2067–2083 (2008)

    Article  Google Scholar 

  7. Boucsein, W.: Electrodermal Activity, 2nd edn. Springer, Wuppertal (1992). https://doi.org/10.1007/978-1-4757-5093-5

    Book  Google Scholar 

  8. Wallin, B.G.: Sympathetic nerve activity underlying electrodermal and cardiovascular reactions in man. Psychophysiology 18(4), 470–476 (1981)

    Article  Google Scholar 

  9. Sobolewski, A., Holt, E., Kublik, E., Wróbel, A.: Impact of meditation on emotional processing-A visual ERP study. Neurosci. Res. 71(1), 44–48 (2011)

    Article  Google Scholar 

  10. Morais, P., Quintão, C.: The mindfulness meditation effect on brain electrical activity: stress assessment, concentration state and quality of life. BIOSTEC 2019, Prague CZ (2019)

    Google Scholar 

  11. U. of Florida, The Center for the Study of Emotion and Attention -International Affective Picture System (IAPS). https://csea.phhp.ufl.edu/media.html#topmedia. Accessed 14 Feb 2021

  12. Bradley, M.M., Lang, P.J.: The international affective picture system (IAPS) in the study of emotion and attention. In: Coan, J., Allen, J. (eds.) HandBook of Emotion Elicitation and Assessment, pp. 29–46. Oxford University Press, Oxford (2007)

    Google Scholar 

  13. PLUX Wireless Biosignals, “OpenSignals (r)evolution - User Manual” (2019). https://bio-medical.com/media/support/biosignalsplux_explorer_user_manual_v.1.0.pdf. Accessed 10 Apr 2020

  14. Benedek, M., Kaernbach, C.: A continuous measure of phasic electrodermal activity. J. Neurosci. Methods 190(1), 80–91 (2010)

    Article  Google Scholar 

  15. Benedek, M., Kaernbach, C.: Decomposition of skin conductance data by means of nonnegative deconvolution. Psychophysiology 47(4), 647–658 (2010)

    Google Scholar 

  16. Pinheiro, J.C., Bates, D.M.: Mixed-Effects Model in S and S-PLUS. Springer, New York (2000). https://doi.org/10.1007/b98882

    Book  MATH  Google Scholar 

  17. Mathworks, “Fit linear mixed-effects model - MATLAB fitlme.” https://www.mathworks.com/help/stats/fitlme.html#btzi_yi-1. Accessed 14 Oct 2020

  18. Lang, P.J., Greenwald, M.K., Bradley, M.M., Hamm, A.O.: Looking at pictures: affective, facial, visceral, and behavioral reactions. Psychophysiology 30(3), 261–273 (1993)

    Article  Google Scholar 

  19. Dawson, M.E., Schell, A.M., Filion, A.L.: The electrodermal system. In: Handbook Psychophysiology, 4th edn., pp. 217–243 (2016)

    Google Scholar 

  20. Kron, A.A., Pilkiw, M., Banaei, J., Goldstein, A., Anderson, A.K.: Are valence and arousal separable in emotional experience? Emotion 15(1), 35–44 (2015)

    Article  Google Scholar 

  21. Greco, A., Valenza, G., Citi, L., Scilingo, E.P.: Arousal and valence recognition of affective sounds based on electrodermal activity. IEEE Sens. J. 17(3), 716–725 (2017)

    Article  Google Scholar 

  22. Shukla, J., Barreda-Angeles, M., Oliver, J., Nandi, G.C., Puig, D.: Feature extraction and selection for emotion recognition from electrodermal activity. IEEE Trans. Affect. Comput. 3045, 45 (2019)

    Google Scholar 

  23. Anders, S., Lotze, M., Erb, M., Grodd, W., Birbaumer, N.: Brain activity underlying emotional valence and arousal: a response-related fMRI study. Hum. Brain Mapp. 23(4), 200–209 (2004)

    Article  Google Scholar 

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Correspondence to Pedro Correia .

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Correia, P., Morais, P., Quintão, C., Quaresma, C., Vigário, R. (2021). Assessing the Emotional Reaction to Negative Pictures Through Electrodermal Activity Data. In: Nunes, I.L. (eds) Advances in Human Factors and System Interactions. AHFE 2021. Lecture Notes in Networks and Systems, vol 265. Springer, Cham. https://doi.org/10.1007/978-3-030-79816-1_15

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  • DOI: https://doi.org/10.1007/978-3-030-79816-1_15

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