Acta Univ. Agric. Silvic. Mendelianae Brun. 2018, 66(4), 969-977 | DOI: 10.11118/actaun201866040969

Dissonance of Selected Neuroscience Techniques at Detection of Emotions in Advertising Spots

Katarína Neomániová, Jakub Berčík, Elena Horská
Department of Marketing and Trade, Faculty of Economics and Management, Slovak University of Agriculture, Tr. A. Hlinku 2, 949 76 Nitra, Slovakia

In addition to advanced brain imaging techniques and growing interest in the study of consumer reactions with influence of marketing stimuli a new interdisciplinary study has developed on a borderland of neuroscience, economic and psychological studies - neuromarketing. Despite a certain form of insecurity whether the brain imaging technologies provide useful information for control of marketing, more and more marketers identify with their application in conventional market research. The main aim of this contribution is to clarify the influence of a selected advertising spot on the final emotional state of consumers by researching a brain activity of respondents and activity of somatic nervous system, specifically the face expressions. Cortical brain activity was detected by 16channel wireless electroencephalograph by Epoc and changes of mimic muscles were monitored by a biometric device the Facereader by Noldus. The subject of the research is the dissonance of the selected neuroscience techniques with influence of chosen advertising emotional appeals like fear, disgust and sadness. In the end of our contribution, the way of using the neuroscience technology and psychology for detection of consumer emotional involvement of consumers is explained.

Keywords: brain imaging technologies, advertising, emotions, Software Facereader 6, Noldus, Emotiv Epoc EEG
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The paper is part of the research project KEGA 038SPU-4/2016 "Using of new technologies and interdisciplinary associations in consumer studies" conducted at the Department of Marketing and Trade at the Slovak University of Agriculture in Nitra.

Published: August 31, 2018  Show citation

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Neomániová, K., Berčík, J., & Horská, E. (2018). Dissonance of Selected Neuroscience Techniques at Detection of Emotions in Advertising Spots. Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, 66(4), 969-977. doi: 10.11118/actaun201866040969
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    References

    1. AMERICAN ELECTROENCEPHALOGRAPHIC SOCIETY (AES). 1994. Guideline thirteen: guidelines for standard electrode position nomenclature. Journal Clinical Neurophysiology, 11(1): 111-113. Go to original source...
    2. BERČÍK, J., PALUCHOVÁ, J., KLEINOVÁ, K., HORSKÁ, E. and NAGYOVÁ, Ľ. 2014. Stimulus, Space and Hidden Customers Reaction's: Applying Possibilities of Neuromarketing Research. In Proceedings of International Scientific Days: Improving performance of agriculture and the economy: challenges for management and policy. Nitra: Slovak University of Agriculture.
    3. DAVIDSON, R. J. 2004. What does the prefrontal cortex do in affect: Perspectives on frontal asymmetry research. Biological Psychology, 67(1 - 2): 219-33. DOI: 10.1016/j.biopsycho.2004.03.008 Go to original source...
    4. DOOLEY, R. 2012. Brainfluence: 100 ways to persuade and convince consumers with neuromarketing. Canada: John Wiley and Sons.
    5. EKMAN, P. and FRIESEN, W. V. 1978. Facial Action Coding System: A Technique for the Measurement of Facial Movement. Palo Alto: Consulting Psychological Press. Go to original source...
    6. EMOTIS SYSTEMS. 2014. Researchers. [Online]. Available at: http://www.emotiv.com/researchers/ [Accessed: 2014, September 20].
    7. GENCO, S., POHLMANN, A. and STEIDL, P. 2013. Neuromarketing for Dummies. Canada: John Wiley and Sons.
    8. HU, S. et.al. 1999. Facial EMG as an indicator of palatability in humans. Physiology & Behavior, 68(1-2): 31-35. DOI: 10.1016/S0031-9384(99)00143-2 Go to original source...
    9. KOELSTRA, S. and PATRAS, I. 2013. Fusion of facial expressions and EEG for implicit affective tagging. Image and Vision Computing, 31(2): 164-174. DOI: 10.1016/j.imavis.2012.10.002 Go to original source...
    10. KOZEL, R., MYNÁŘOVÁ, L. and SVOBODOVÁ, H. 2011. Modern methods and techniques of marketing research [in Czech: Moderní metody a techniky marketingového výzkumu]. Praha: Grada Publishing.
    11. LIBET, B. 2004. Mind time: The temporal factor in consciousness. (Perspectives in cognitive neuroscience). Harvard University Press. Go to original source...
    12. LIN, Y. P. et al. 2008. Support vector machine for EEG signal classification during listening to emotional music. In: Multimedia Signal Processing, IEEE 10th Workshop, 8-10 Oct. 2008, Cairns, Qld, Australia, pp. 127-130. Go to original source...
    13. MAURI, M. et al. 2014. The effects of social communication: a research study on neuroscientific techniques application. In: Proceedings of the 9th International Conference on Methods and Techniques in Behavioral Research: Measuring Behavior 2014. August 27-29, 2014, Wageningen, pp. 22-27.
    14. NAGEL, C. 2014. Sample Size in Neuromarketing. Neuromarketing Theory & Practice, 9: 6-9.
    15. NOLDUS INFORMATION TECHNOLOGY. 2014. Noldus. [Online]. Available at: http://www.noldus.com/human-behavior-research/products/facereader [Accessed: 2014, September 12].
    16. NOLDUS INFORMATION TECHNOLOGY. 2018. Behavioral research blog. How to use facereader in the lab. Noldus. [Online]. Available at: https://www.noldus.com/blog/how-use-facereader-lab [Accessed: 2018, June 12].
    17. NUWER, M. R. et. al. 1998. IFCN standards for digital recording of clinical EEG. Electroencephalography and Clinical Neurophysiology, 106(3): 259-61. DOI: 10.1016/S0013-4694(97)00106-5 Go to original source...
    18. OHME, R., REYKOWSKA, D., WIENER, D., and CHOROMANSKA, A. 2009. Analysis of neurophysiological reactions to advertising stimuli by means of EEG and Galvanic skin response measures. Journal of Neuroscience, Psychology, and Economics, 2(1): 21-31. DOI: 10.1037/a0015462 Go to original source...
    19. OHME, R., MATUKIN, M. and PACULA - LESNIAK, B. 2011. Biometric measures for interactive advertising research. Journal of Interactive Advertising, 11(2): 60-72. DOI: 10.1080/15252019.2011.10722185 Go to original source...
    20. ÖNAL - HARTMANN, C., OCKLENBURG, P. P. S. and GÜNTÜRKÜN, O. 2012. The motor side of emotions: investigating the relationship between hemispheres, motor reactions and emotional stimuli. Psychological Reseach, 76: 311-316. DOI: 10.1007/s00426-011-0337-4 Go to original source...
    21. PETRANTONAKIS, P. C. and HADJILEONTIADIS, L. J. 2011. A novel emotion elicitation index using frontal brain asymmetry for enhanced EEG-based emotion recognition. IEEE Transactions on Information Technology in Biomedicine, 15(5): 737-46. DOI: 10.1109/TITB.2011.2157933 Go to original source...
    22. PRADEEP, A. 2010. The Buying Brain: Secrets for Selling to the Subconscious Mind. John Wiley & Sons, Inc.
    23. PURCELL. D. G., STEWART, A. L. and SKOV, R. B. 1996. It takes a confounded face to pop out of a crowd. Perception, 25(9): 1091-108. DOI: 10.1068/p251091 Go to original source...
    24. RAMIREZ, R. and VAMVAKOUSIS, Z. 2012. Detecting Emotion from EEG Signals Using the Emotive Epoc Device. In: International Conference on Brain Informatics. Vol. 7670. Berlin, Heidelberg: Springer. Go to original source...
    25. RAMPSOY, T. Z. 2014. Introduction to Neuromarketing & Consumer Neurosciense. Rorvig: Neurons Inc Aps.
    26. ROEBUCK, K. 2011. Neuromarketing: High - impact Strategies - What You Need to Know. Lane Cove West: Emereo.
    27. SOLEYMANI, M. et. al. 2015. Analysis of EEG Signals and Facial Expressions for Continuous Emotion Detection. IEEE Transactions on Affective Computing, 7(1): 17-28. DOI: 10.1109/TAFFC.2015.2436926 Go to original source...
    28. TERAZ.SK. 2017. Young drivers and alcohol are the most dangerous factors in road traffic. [in Slovak: Najrizikovejším faktorom v cestnej premávke sú mladí vodiči a alkohol]. Teraz.sk. Available at: http://www.teraz.sk/slovensko/najrizikovejsim-faktorom-v-cestnej-prema/280314-clanok.html [Accessed: 2017, September 13].
    29. VECCHIATO, G., KONG, W., MAGLIONE, A. G. and WEI, D. 2012. Understanding the impact of TV commercials:electrical neuroimaging. IEEE Pulse Magazine, 3(3): 42-7. DOI: 10.1109/MPUL.2012.2189171 Go to original source...
    30. WANG, Y. J. and MINOR, M. S. 2008. Validity, reliability, and applicability of psychophysiological techniques in marketing research. Psychology and Marketing, 25(2): 197-232. DOI: 10.1002/mar.20206 Go to original source...
    31. ZURAWICKI, L. 2010. Neuromarketing: Exploring the Brain of the Consumer. Heidelberg: Springer. Go to original source...

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