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Assessing the Impact of Ad Characteristics on Consumer Behavior and Electrodermal Activity

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Advances in Neuroergonomics and Cognitive Engineering (AHFE 2021)

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Abstract

The use of mobile, low-cost, and wearable sensors to measure physiological activity, continuously and non-intrusively during everyday tasks has the potential to improve our understanding of human perception, cognition, and behavior at large. One applied field with the practical use of such expansive assessment is consumer neuroergonomics. In this study, we demonstrated the use of ultramobile battery operated and wireless electrodermal activity (EDA) sensors to estimate emotional arousal during the viewing of various out-of-house, printed, and e-mail advertisements of law-firm services. A total of 33 participants’ EDA data and self-reported questionnaires were analyzed to assess the impact of different ad types on consumers in terms of their age, gender and prior experience with firms (client vs. non-client). EDA results confirmed as expected that e-mail ads were the least engaging to all participants. Furthermore, participants were engaged significantly less on ads that they are already familiar with, that is existing customers. Results indicate that the use of accessible and low-cost sensors like EDA could be widely deployed to enhance our understanding of customer behavior in order to optimize ad development and delivery.

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References

  1. Richards, J.I., Curran, C.M.: Oracles on “Advertising”: searching for a definition. J. Advertising 31, 63–77 (2002)

    Article  Google Scholar 

  2. Curtis, T., Arnaud, A., Waguespack, B.P.: Advertising effect on consumer emotions, judgements, and purchase intent. Asian J. Bus. Res. 7, 57–73 (2017)

    Article  Google Scholar 

  3. Lajante, M., Droulers, O., Dondaine, T., Amarantini, D.: Opening the “black box” of electrodermal activity in consumer neuroscience research. J. Neurosci. Psychol. Econ. 5, 238 (2012)

    Article  Google Scholar 

  4. Bradley, M.M., Lang, P.J.: Measuring emotion: behavior, feeling, and physiology. Cogn. Neurosci. Emot. 25, 49–59 (2000)

    Google Scholar 

  5. Mauss, I.B., Robinson, M.D.: Measures of emotion: a review. Cogn. Emot. 23, 209–237 (2009)

    Article  Google Scholar 

  6. Caruelle, D., Gustafsson, A., Shams, P., Lervik-Olsen, L.: The use of electrodermal activity (EDA) measurement to understand consumer emotions – a literature review and a call for action. J. Bus. Res. 104, 146–160 (2019)

    Article  Google Scholar 

  7. Sun, Y., Ayaz, H., Akansu, A.N.: Multimodal affective state assessment using fNIRS + EEG and spontaneous facial expression. Brain Sci. 10, 85 (2020)

    Article  Google Scholar 

  8. Doi, H., Nishitani, S., Shinohara, K.: NIRS as a tool for assaying emotional function in the prefrontal cortex. Front. Hum. Neurosci. 7, 770 (2013)

    Article  Google Scholar 

  9. Wang, X., Nie, D., Lu, B.: Emotional state classification from EEG data using machine learning approach. Neurocomputing 129, 94–106 (2014)

    Article  Google Scholar 

  10. Lindquist, K.A., Wager, T.D., Kober, H., Bliss-Moreau, E., Barrett, L.F.: The brain basis of emotion: a meta-analytic review. Behav. Brain Sci. 35, 121–143 (2012)

    Article  Google Scholar 

  11. Topoglu, Y., Watson, J., Suri, R., Ayaz, H.: Electrodermal activity in ambulatory settings: a narrative review of literature. In: Ayaz, H. (ed.) AHFE 2019. AISC, vol. 953, pp. 91–102. Springer, Cham (2020). https://doi.org/10.1007/978-3-030-20473-0_10

    Chapter  Google Scholar 

  12. Boucsein, W.: Electrodermal Activity, 2nd edn. Springer, New York (2012). https://doi.org/10.1007/978-1-4614-1126-0

    Book  Google Scholar 

  13. Dawson, M.E., Schell, A.M., Filion, D.L.: The electrodermal system (2017)

    Google Scholar 

  14. Critchley, H.D.: Electrodermal responses: what happens in the brain. Neuroscientist 8, 132–142 (2002)

    Article  Google Scholar 

  15. Sharma, M., Kacker, S., Sharma, M.: A brief introduction and review on galvanic skin response (2016)

    Google Scholar 

  16. Braithwaite, J.J., Watson, D.G., Jones, R., Rowe, M.: A guide for analysing electrodermal activity (EDA) & skin conductance responses (SCRs) for psychological experiments. Psychophysiology 49, 1017–1034 (2013)

    Google Scholar 

  17. Figner, B., Murphy, R.O.: Using skin conductance in judgment and decision making research. In: A Handbook of Process Tracing Methods for Decision Research, pp. 163–184 (2011)

    Google Scholar 

  18. Topoglu, Y., Sargent, A., Watson, J., Ye, H., Suri, R., Ayaz, H.: Evaluating effects of environmental and financial-savings messaging on decision-making using electrodermal activity. In: Ayaz, H., Asgher, U. (eds.) AHFE 2020. AISC, vol. 1201, pp. 175–182. Springer, Cham (2021). https://doi.org/10.1007/978-3-030-51041-1_24

    Chapter  Google Scholar 

  19. Holper, L., Wolf, M., Tobler, P.N.: Comparison of functional near-infrared spectroscopy and electrodermal activity in assessing objective versus subjective risk during risky financial decisions. Neuroimage 84, 833–842 (2014)

    Article  Google Scholar 

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

    Article  Google Scholar 

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

    Google Scholar 

  22. Hsin Chang, H., Rizal, H., Amin, H.: The determinants of consumer behavior towards email advertisement. Internet Res. 23, 316–337 (2013)

    Article  Google Scholar 

  23. Raad, M., Yeassen, N.M., Alam, G., Zaidan, B., Zaidan, A.A.: Impact of spam advertisement through e-mail: a study to assess the influence of the anti-spam on the e-mail marketing. Afr. J. Bus. Manag. 4, 2362–2367 (2010)

    Google Scholar 

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Correspondence to Yigit Topoglu .

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Topoglu, Y., Watson, J., Zhang, J., Ye, H., Suri, R., Ayaz, H. (2021). Assessing the Impact of Ad Characteristics on Consumer Behavior and Electrodermal Activity. In: Ayaz, H., Asgher, U., Paletta, L. (eds) Advances in Neuroergonomics and Cognitive Engineering. AHFE 2021. Lecture Notes in Networks and Systems, vol 259. Springer, Cham. https://doi.org/10.1007/978-3-030-80285-1_20

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  • DOI: https://doi.org/10.1007/978-3-030-80285-1_20

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