Monitoring consumer responses to online advertising via neuro-marketing techniques: an exploratory study

Authors

  • Myriam Caratu' UNINT - Università degli Studi Internazionali di Roma
  • Annarita Sorrentino Department of Management and Quantitative Studies, Parthenope University of Naples
  • Marco Mancini BrainSigns srl
  • Patrizia Cherubino BrainSigns srl

Keywords:

neuromarketing, advertising, social media, communication

Abstract

Neuromarketing is a widespread research methodology in marketing, and nowadays is being employed also for the assessment of digital communication: however, no experimental research has been conducted on a website banner. This paper assesses the effects of this kind of digital stimuli on the consumer audience by using neuro-marketing techniques. Specifically, the research aims to verify consumers’ responses to a website banner in terms of attention, cognitive effort, interest and emotion by carrying on an exploratory experiment on a pilot sample of Italian consumers. The study was approached in four stages. In the first step, a selected brand has been analysed as a case study in an industry that has only recently entered the digital touchpoint; in the second step, a digital stimulus has been selected; in the third step, an experimental protocol was developed and tested; finally, the above-mentioned neuro-marketing experiment has been carried out. Results show that the effectiveness of the banner is linked to its position on the web page, but this is not enough: for better effectiveness, it has also to be framed properly in the website navigation design. 

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References

Adhami, M. (2013) “Using neuromarketing to discover how we really feel about apps,” International Journal of Mobile Marketing, vol. 8, no. 1, pp. 95–103, 2013.

Ahn, J. H., Bae, Y. S., Ju, J., & Oh, W. (2018). Attention adjustment, renewal, and equilibrium seeking in online search: An eye-tracking approach. Journal of Management Information Systems, 35(4), 1218-1250.

Bagozzi, R. P. (1991). The role of psychophysiology in consumer research. Handbook of consumer behavior, 124-161.

Benedek, M., & Kaernbach, C. (2010). A continuous measure of phasic electrodermal activity. Journal of Neuroscience Methods, 190(1), 80–91

Benway, J. P. (1998). Banner blindness: The irony of attention grabbing on the World Wide Web. In Proceedings of the Human Factors and Ergonomics Society Annual Meeting (Vol. 42, No. 5, pp. 463-467). Sage CA: Los Angeles, CA: SAGE Publications.

Boardman, R., & Mccormick, H. (2021). Attention and behaviour on fashion retail websites: an eye-tracking study. Information Technology & People.

Bode, C., Bertamini, M., Helmy, M. (2016) Left–Right Position in Moving Images: An Analysis of Face Orientation, Face Position, and Movement Direction in Eight Action Films. Art & Perception, August 2016. DOI: 10.1163/22134913-00002053

Boerman, S. C., Van Reijmersdal, E. A., & Neijens, P. C. (2015). Using eye tracking to understand the effects of brand placement disclosure types in television programs. Journal of Advertising, 44(3), 196-207.

Boucsein, W. (2012). Electrodermal activity. Springer Science & Business Media.

Braeutigam, S. (2005). Neuroeconomics—From neural systems to economic behaviour. Brain research bulletin, 67(5), 355-360.

Burke, M., Hornof, A., Nilsen, E., & Gorman, N. (2005). High-cost banner blindness: Ads increase perceived workload, hinder visual search, and are forgotten. ACM Transactions on Computer-Human Interaction (TOCHI), 12(4), 423-445.Buscher, G., Cutrell, E., & Morris, M. R. (2009, April). What do you see when you're surfing? Using eye tracking to predict salient regions of web pages. In Proceedings of the SIGCHI conference on human factors in computing systems (pp. 21-30).

Cakiroglu, Ü., Ilhan, B., & Şimşek, Ö. F. (2015). Investigating the effects of audio-visual congruity on consumers’ brand attitude and purchase intention by using EEG and eye tracking measurements. Procedia-Social and Behavioral Sciences, 195, 2017-2026.

Camerer, C., Loewenstein, G., & Prelec, D. (2005). Neuroeconomics: How neuroscience can inform economics. Journal of economic Literature, 43(1), 9-64.

Caratù, M. (2022). Social Marketing, Nudging Policies and Consumerism: Advancements Through Technologies from Neuroscience. In Business Advancement through Technology Volume I: Markets and Marketing in Transition (pp. 219-240). Cham: Springer International Publishing.

Caratù, M., Sorrentino, A. ., & Scozzese, G. (2020). Can social neuromarketing be useful to public policy and instill healthy behaviors?. European Journal of Volunteering and Community-Based Projects, 1(1), 40-56. Retrieved from https://pkp.odvcasarcobaleno.it/index.php/ejvcbp/article/view/8

Cartocci et al. (2017). Electroencephalographic, heart rate, and galvanic skin response assessment for an advertising perception study: application to antismoking public service announcements. Journal of visualized experiments: JoVE, (126).

Cartocci, G., Cherubino, P., Rossi, D., Modica, E., Maglione, A. G., Di Flumeri, G., & Babiloni, F. (2016). Gender and age related effects while watching TV advertisements: an EEG study. Computational intelligence and neuroscience, 2016.

Chandon, P., Hutchinson, W., & Young, S. (2002). Do we know what we look at?: An eye-tracking study of visual attention and memory for brands at the point of purchase (Vol. 1, pp. 2-41). Fontainebleau: Insead.

Chernev, A. (2003). When more is less and less is more: The role of ideal point availability and assortment in consumer choice. Journal of consumer Research, 30(2), 170-183.

Cherubino , et al. (2017) Assessing Cerebral and Emotional Activity During the Purchase of Fruit and Vegetable Products in the Supermarkets. In "Neuroeconomic and Behavioral Aspects of Decision Making" (pp. 293-307). Springer, Cham

Cherubino et al. (2019). Consumer Behaviour through the Eyes of Neurophysiological Measures: State-of-the-Art and Future Trends. Computational intelligence and neuroscience.

Cherubino et al.. (2016). Neuroelectrical indexes for the study of the efficacy of TV advertising stimuli. In Selected Issues in Experimental Economics (pp. 355-371). Springer, Cham.

Cho, C. H. & University of Texas at Austin, (2004) “Why do people avoid advertising on the internet?,” Journal of Advertising, vol. 33, n.4, pp.89-97

Ciceri, A., Russo, V., Songa, G., Gabrielli, G., & Clement, J. (2020). A Neuroscientific Method for Assessing Effectiveness of Digital vs. Print Ads: Using Biometric Techniques to Measure Cross-Media Ad Experience and Recall. Journal of Advertising Research, 60(1), 71-86.

Ciceri, A., Russo, V., Songa, G., Gabrielli, G., & Clement, J. (2020). A neuroscientific method for assessing effectiveness of digital vs. Print ads: Using biometric techniques to measure cross-media ad experience and recall. Journal of Advertising Research, 60(1), 71-86.

Coan, J. A. & J. J. B. Allen (2003), “Frontal EEG asymmetry and the behavioral activation and inhibition systems,” Psychophysiology, vol. 40, no. 1, pp. 106–114.

Currim, I. S., Mintz, O., & Siddarth, S. (2015). Information accessed or information available? The impact on consumer preferences inferred at a durable product e-commerce website. Journal of Interactive Marketing, 29, 11-25.

Dapkevičius, A., & Melnikas, B. (2009). Influence of price and quality to customer satisfaction: neuromarketing approach. Mokslas–Lietuvos ateitis/Science–Future of Lithuania, 1(3), 17-20.

Dapkevičius, A., & Melnikas, B. (2009). Influence of price and quality to customer satisfaction: neuromarketing approach. Mokslas–Lietuvos ateitis/Science–Future of Lithuania, 1(3), 17-20.

Davidson, R. J. (2000). Affective style, psychopathology, and resilience: brain mechanisms and plasticity. American Psychologist, 55(11), 1196.

Davidson, R. J. (2004). What does the prefrontal cortex “do” in affect: perspectives on frontal EEG asymmetry research. Biological psychology, 67(1-2), 219-234.

de Sousa, J. C. (Ed.). (2017). Neuromarketing and Big Data Analytics for Strategic Consumer Engagement: Emerging Research and Opportunities. IGI Global.

Demand generation website: www.demandgenreport.com/resources/reports/2018-demand-generation-benchmark-survey-report

Demir, M. (2022). NEUROMARKETING IN HEALTH SERVICES. European Journal of Management and Marketing Studies, 7(4).

Djamasbi, S., Siegel M. and Tullis, T. (2010) “Generation Y, web design, and eye tracking,” International Journal of Human- Computer Studies, vol. 68, no. 5, pp. 307–323.

Duncan, D. B. (1955). Multiple range and multiple F tests. Biometrics, 11(1), 1-42. https://doi.org/10.2307/3001478

Erk, S., Spitzer, M., Wunderlich, A. P., Galley, L., & Walter, H. (2002). Cultural objects modulate reward circuitry. Neuroreport, 13(18), 2499-2503.

Fondevila-Gascón, J. F., Gutiérrez-Aragón, Ó., Copeiro, M., & Villalba-Palacín, V. (2020). Influence of Instagram stories in attention and emotion depending on gender. Comunicar, 28(63), 41-50.

Fugate, D.L. (2008) “Marketing services more effectively with neuromarketing research: a look into the future,” Journal of Services Marketing, vol. 22, no. 2, pp. 170–173, 2008.

Glaholt, M. G., & Reingold, E. M. (2011). Eye movement monitoring as a process tracing methodology in decision making research. Journal of Neuroscience, Psychology, and Economics, 4(2), 125.

Goodrich, K. (2011). Anarchy of effects? Exploring attention to online advertising and multiple outcomes. Psychology & marketing, 28(4), 417-440.

Grossi, G., Biancone, P. P., Secinaro, S., & Brescia, V. (2021). Dialogic accounting through popular reporting and digital platforms. Meditari Accountancy Research, 29(7), 75-93.

Guerreiro, João & Rita, Paulo & Trigueiros, Duarte. (2015). Attention, emotions and cause-related marketing effectiveness. European Journal of Marketing. 49. 1728-1750. 10.1108/EJM-09-2014-0543.

Haesner, M., Chandra, J., Steinert, A., & Steinhagen-Thiessen, E. (2018). An eye movement analysis of web usability: Differences between older adults with and without mild cognitive impairment. Assistive Technology, 30(2), 66-73.

Hoffman, D. L., & Novak, T. P. (1998). Bridging the racial divide on the Internet. Science, 280(5362), 390-391.

Hollebeek, L. D., & Macky, K. (2019). Digital content marketing's role in fostering consumer engagement, trust, and value: Framework, fundamental propositions, and implications. Journal of Interactive Marketing, 45, pp. 27-41.

Hollebeek, L. D., Glynn, M. S., & Brodie, R. J. (2014). Consumer brand engagement in social media: Conceptualization, scale development and validation. Journal of interactive marketing, 28(2), 149-165.

Hsu, S. H., & Yoon, C. (2015). The hidden persuaders break into the brain: Neuroimaging evidence for subliminal advertising. Journal of Advertising, 44(2), 128-142.

Huang, W. (2007). Using eye tracking to investigate graph layout effects. In Huang, W. (2007, February). Using eye tracking to investigate graph layout effects. In 2007 6th International Asia-Pacific Symposium on Visualization (pp. 97-100). IEEE.

Išoraite, M. (2016). Raising brand awarenees through the internet marketing tools. Independent Journal of Management & Production, 7(2), 320-339.

Jacob, R. J., & Karn, K. S. (2003). Eye tracking in human-computer interaction and usability research: Ready to deliver the promises. In The mind's eye (pp. 573-605). North-Holland.

Jahanian, A., Keshvari, S., & Rosenholtz, R. (2018). Web pages: What can you see in a single fixation?. Cognitive Research: Principles and Implications, 3(1), 1-15.

Jain, V. (2014). 3D model of attitude. International Journal of Advanced Research in Management and Social Sciences, 3(3), 1-12.

Kastner, S., McMains, S. A., & Beck, D. M. (2009). Mechanisms of selective attention in the human visual system: Evidence from neuroimaging. In M. S. Gazzaniga, E. Bizzi, L. M. Chalupa, S. T. Grafton, T. F. Heatherton, C. Koch, J. E. LeDoux, S. J. Luck, G. R. Mangan, J. A. Movshon, H. Neville, E. A. Phelps, P. Rakic, D. L. Schacter, M. Sur, & B. A. Wandell (Eds.), The cognitive neurosciences (p. 205–217). Massachusetts Institute of Technology.

Kenning, P. H., & Plassmann, H. (2008). How neuroscience can inform consumer research. IEEE transactions on neural systems and rehabilitation engineering, 16(6), 532-538.

Kenning, P., & Linzmajer, M. (2011). Consumer neuroscience: an overview of an emerging discipline with implications for consumer policy. Journal für Verbraucherschutz und Lebensmittelsicherheit, 6(1), 111-125.

Kessler, S. H., & Zillich, A. F. (2019). Searching online for information about vaccination: Assessing the influence of user-specific cognitive factors using eye-tracking. Health Communication, 34(10), 1150-1158.

Klimesch, W. (1999). EEG alpha and theta oscillations reflect cognitive and memory performance: a review and analysis. Brain research reviews, 29(2-3), 169-195.

Knutson, B., Rick, S., Wimmer, G. E., Prelec, D., & Loewenstein, G. (2007). Neural predictors of purchases. Neuron, 53(1), 147-156.

Kobayashi, M. L., & Benassi, M. D. T. (2015). Impact of packaging characteristics on consumer purchase intention: instant coffee in refill packs and glass jars. Journal of Sensory Studies, 30(3), 169-180.

Lamberz, J., Litfin, T., Teckert, Ö., & Meeh-Bunse, G. (2018). Still searching or have you found it already?–Usability and web design of an educational website. Business Systems Research: International journal of the Society for Advancing Innovation and Research in Economy, 9(1), 19-30.

Lapa, Chad, "Using eye tracking to understand banner blindness and improve website design" (2007). Thesis. Rochester Institute of Technology

Lee, H. J., & Lee, J. K. (2018). An investigation of the effects of virtual reality on consumer engagement and purchase intention. International Journal of Human-Computer Interaction, 34(9), 877-888.

Lee, J. G., & Thorson, E. (2009). Cognitive and emotional processes in individuals and commercial web sites. Journal of Business and Psychology, 24(1), 105-115.

Lee, M., & Faber, R. J. (2007). Effects of product placement in on-line games on brand memory: A perspective of the limited-capacity model of attention. Journal of advertising, 36(4), 75-90.

Lee, N., Broderick, A. J., & Chamberlain, L. (2007). What is ‘neuromarketing’? A discussion and agenda for future research. International journal of psychophysiology, 63(2), 199-204.

Lehmann, D., & Michel, C. M. (1990). Intracerebral dipole source localization for FFT power maps. Electroencephalography and Clinical Neurophysiology, 76(3), 271–276.

Levallois, C., Smidts, A., & Wouters, P. (2021). The emergence of neuromarketing investigated through online public communications (2002–2008). Business History, 63(3), 443-466.

Mañas-Viniegra, L., Núñez-Gómez, P., & Tur-Viñes, V. (2020). Neuromarketing as a strategic tool for predicting how Instagramers have an influence on the personal identity of adolescents and young people in Spain. Heliyon, 6(3), e03578.

Mancini, M., Cherubino, P., Cartocci, G., Martinez, A., Borghini, G., Guastamacchia, E., ... & Babiloni, F. (2021). Forefront users’ experience evaluation by employing together virtual reality and electroencephalography: A case study on cognitive effects of scents. Brain Sciences, 11(2), 256.

Mancini, M., Cherubino, P., Di Flumeri, G., Cartocci, G., Martinez, A., Sanchez, A., ... & Babiloni, F. (2022a). Neuroscientific methods for exploring user perceptions while dealing with Mobile Advertising: A novel and integrated approach. Frontiers in Neuroergonomics, 6.

Mancini, M., Cherubino, P., Cartocci, G., Martinez, A., Di Flumeri, G., Petruzzellis, L., ... & Babiloni, F. (2022b). Esports and Visual Attention: Evaluating In-Game Advertising through Eye-Tracking during the Game Viewing Experience. Brain Sciences, 12(10), 1345.

Martinez-Levy, A. C., Rossi, D., Cartocci, G., Mancini, M., Di Flumeri, G., Trettel, A., ... & Cherubino, P. (2022). Message framing, non-conscious perception and effectiveness in non-profit advertising. Contribution by neuromarketing research. International Review on Public and Nonprofit Marketing, 19(1), 53-75.

Mouammine, Y., & Azdimousa, H. (2019). » Using Neuromarketing and AI to collect and analyse consumer’s emotion: Literature review and perspectives «. International Journal of Business & Economic Strategy, 12(2), 34-38.

Nermend, K., & Piwowarski, M. (2018). Cognitive neuroscience techniques in supporting decision making and the analysis of social campaign. International Journal of Social Sciences & Educational Studies, 5(1), 122.

Neuromarketing Science and Business Association website: https://nmsba.com

Noci, G. (2018). Biomarketing: non solo big data: battito cardiaco, respiro e movimenti oculari per rivelare preferenze e scelte del consumatore. EGEA.

Ohme, R., Reykowska, D., Wiener, D., & 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.

Ohme, R., Reykowska, D., Wiener, D., & Choromanska, A. (2010). Analysis of neurophysiological reactions to advertising stimuli by means of EEG and galvanic skin response measures. Journal of neuroscience, psychology, and economics, 3(1), 21-31.

Ohme, R., Reykowska, D., Wiener, D., & Choromanska, A. (2010). Application of frontal EEG asymmetry to advertising research. Journal of Economic Psychology, 31(5), 785-793.

Olivero, N., & Russo, V. (2013). Psicologia dei consumi. McGraw Hill Publisher

Pan, J., & Tompkins, W. J. (1985). A real-time QRS detection algorithm. IEEE transactions on biomedical engineering, (3), 230-236.

Pieters, R., & Warlop, L. (1999). Visual attention during brand choice: The impact of time pressure and task motivation. International Journal of research in Marketing, 16(1), 1-16.

Piqueras-Fiszman, B., Velasco, C., Salgado-Montejo, A., & Spence, C. (2013). Using combined eye tracking and word association in order to assess novel packaging solutions: A case study involving jam jars. Food Quality and Preference, 28(1), 328-338.

Piwowarski, M. (2017, November). Neuromarketing tools in studies on models of social issue advertising impact on recipients. In International Conference on Computational Methods in Experimental Economics (pp. 99-111). Springer, Cham.

Piwowarski, M. (2017). Cognitive neuroscience techniques in examining the effectiveness of social advertisements. In Neuroeconomic and Behavioral Aspects of Decision Making (pp. 341-352). Springer, Cham.

Plassmann, H., Venkatraman, V., Huettel, S., & Yoon, C. (2015). Consumer neuroscience: Applications, challenges, and possible solutions. Journal of Marketing Research, 52(4), 427-435.

POPAI Report - Point of Purchase Advertising International, (2012) The New Shopper Journey. POPAI, Washington, DC, USA.

Posner, J., Russell, J. A., & Peterson, B. S. (2005). The circumplex model of affect: an integrative approach to affective neuroscience, cognitive development, and psychopathology. Development and Psychopathology, 17(3), 715–734. https://doi.org/10.1017/S0954579405050340

Qu, Q. X., Zhang, L., Chao, W. Y., & Duffy, V. (2017). User experience design based on eye-tracking technology: a case study on smartphone APPs. In Advances in applied digital human modeling and simulation (pp. 303-315). Springer, Cham.

Raggiotto, F., Scarpi, D., & Moretti, A. (2020). Advertising on the edge: Appeal effectiveness when advertising in extreme sports. International Journal of Advertising, 39(5), 655-678.

Raymond, J. E., Fenske, M. J., & Tavassoli, N. T. (2003). Selective attention determines emotional responses to novel visual stimuli. Psychological science, 14(6), 537-542.

Rosbergen, E., Pieters, R., & Wedel, M. (1997). Visual attention to advertising: A segment-level analysis. Journal of consumer research, 24(3), 305-314.

Rúa-Hidalgo, I.; Galmes-Cerezo, M.; Cristofol-Rodríguez, C.; Aliagas, I. (2021) Understanding the Emotional Impact of GIFs on Instagram through Consumer Neuroscience. Behav. Sci. 2021, 11, 108. https://doi.org/ 10.3390/bs11080108

Russell, J. A., & Barrett, L. F. (1999). Core affect, prototypical emotional episodes, and other things called emotion: dissecting the elephant. Journal of Personality and Social Psychology, 76(5), 805.

Russo, V. (2017). Psicologia della comunicazione e neuromarketing. Pearson.

Sari, J. N., Ferdiana, R., Santosa, P. I., & Nugroho, L. E. (2015, April). An eye tracking study: exploration customer behavior on web design. In Proceedings of the International HCI and UX Conference in Indonesia (pp. 69-72).

Scarpi, D., Pizzi, G., & Raggiotto, F. (2019). The extraordinary attraction of being ordinary: A moderated mediation model of purchase for prototypical products. Journal of Retailing and Consumer Services, 49, 267-278.

Schiessl, M., Duda, S., Thölke, A., & Fischer, R. (2003). Eye tracking and its application in usability and media research. MMI-interaktiv Journal, 6(2003), 41-50.

Schindler, P. S. (1986). Color and contrast in magazine advertising. Psychology & Marketing, 3(2), 69-78.

Shaouf, A., Lü, K., & Li, X. (2016). The effect of web advertising visual design on online purchase intention: An examination across gender. Computers in Human Behavior, 60, 622-634.

Simon, H., & Dolan, R. J. (1998). Price customization: the higher art of power pricing includes strategies based on customer valuation to boost profits. Marketing management, 7, 11-18.

Spence, C. (2020). Neuroimaging and neuromarketing: A critical guide to insights from contemporary neuroscience. Routledge.

Stoll, M., Baecke, S., & Kenning, P. (2008). What they see is what they get? An fMRI‐study on neural correlates of attractive packaging. Journal of Consumer Behaviour: An International Research Review, 7(4‐5), 342-359.

Subramanian, K. R. (2015). Advertising clutter and consumer apathy. GE-International Journal of Management Research, 3(6), 309-22.

Taylor, R. K. (2000). Marketing strategies: Gaining a competitive advantage through the use of emotion. Competitiveness Review: An International Business Journal.

Tupikovskaja-Omovie, Z., & Tyler, D. (2021). Eye tracking technology to audit google analytics: Analysing digital consumer shopping journey in fashion m-retail. International Journal of Information Management, 59, 102294.

Tupikovskaja-Omovie, Z., & Tyler, D. J. (2019). Mobile consumers’ shopping journey types: Eye tracking digital user behaviour patterns in fashion m-retail. In Proceedings of AM2019: The 52nd Academy of keting Conference ‘When you tire of marketing you tire of life’. London, UK.

Van der Laan, L. N., De Ridder, D. T., Viergever, M. A., & Smeets, P. A. (2012). Appearance matters: neural correlates of food choice and packaging aesthetics. PloS one, 7(7), e41738.

Van der Laan, L. N., Hooge, I. T., De Ridder, D. T., Viergever, M. A., & Smeets, P. A. (2015). Do you like what you see? The role of first fixation and total fixation duration in consumer choice. Food Quality and Preference, 39, 46-55.

Vecchiato, G., Astolfi, L., De Vico Fallani, F., Toppi, J., Aloise, F., Bez, F., ... & Babiloni, F. (2011). On the use of EEG or MEG brain imaging tools in neuromarketing research. Computational intelligence and neuroscience, 2011.

Vecchiato, G., Cherubino, P., Maglione, A. G., Ezquierro, M. T. H., Marinozzi, F., Bini, F., ... & Babiloni, F. (2014a). How to measure cerebral correlates of emotions in marketing relevant tasks. Cognitive Computation, 6(4), 856-871.

Vecchiato, G., Maglione, A. G., Cherubino, P., Wasikowska, B., Wawrzyniak, A., Latuszynska, A., ... & Babiloni, F. (2014b). Neurophysiological tools to investigate consumer’s gender differences during the observation of TV commercials. Computational and mathematical methods in medicine, 2014.

Vecchiato, G., Toppi, J., Astolfi, L., Fallani, F. D. V., Cincotti, F., Mattia, D., ... & Babiloni, F. (2011). Spectral EEG frontal asymmetries correlate with the experienced pleasantness of TV commercial advertisements. Medical & biological engineering & computing, 49(5), 579-583.

Vidyapu, S., Vedula, V. S., & Bhattacharya, S. (2019, June). Quantitative visual attention prediction on webpage images using multiclass svm. In Proceedings of the 11th ACM Symposium on Eye Tracking Research & Applications (pp. 1-9).

Vozzi, et al. (2021)” The Sample Size Matters: To What Extent the Participant Reduction Affects the Outcomes of a Neuroscientific Research. A Case-Study in Neuromarketing Field”. Sensors 2021, 21, 6088. https://doi.org/10.3390/s21186088

Wang, C. A., & Zhang, X. M. (2009). Sampling of information goods. Decision Support Systems, 48(1), 14-22.

Wascher, E., Ret al., (2014). Frontal theta activity reflects distinct aspects of mental fatigue. Biological psychology, 96, 57-65.

Wedel, M., & Pieters, R. (2000). Eye fixations on advertisements and memory for brands: A model and findings. Marketing science, 19(4), 297-312.

Westbrook, A., & Braver, T. S. (2015). Cognitive effort: A neuroeconomic approach. Cognitive, Affective, & Behavioral Neuroscience, 15(2), 395-415

Winkielman, P., Berntson, G. G., & Cacioppo, J. T. (2001). The psychophysiological perspective on the social mind. Blackwell handbook of social psychology: Intraindividual processes, 89-108.

Wisniewski, M. G., Thompson, E. R., Iyer, N., Estepp, J. R., Goder-Reiser, M. N., & Sullivan, S. C. (2015). Frontal midline θ power as an index of listening effort. Neuroreport, 26(2), 94-99.

Yang, X., & Smith, R. E. (2009). Beyond attention effects: Modeling the persuasive and emotional effects of advertising creativity. Marketing Science, 28(5), 935-949.

Young, C. (2002). Brain waves, picture sorts®, and branding moments. Journal of Advertising Research, 42(4), 42-53.

Zhang, D., & Chen, Y. (2017). Understanding consumer preferences via neuromarketing tools: A comprehensive review. Neural Computing and Applications, 28(11), 3243-3260.

Zhang, W., Wang, J., Fan, J., & Luo, J. (2017). An eye-tracking and fMRI study of the effects of familiarity on preference judgments. Frontiers in Psychology, 8, 232.

Published

2023-03-11

How to Cite

Caratu’, M., Sorrentino, A., Mancini, M., & Cherubino, P. (2023). Monitoring consumer responses to online advertising via neuro-marketing techniques: an exploratory study. European Journal of Volunteering and Community-Based Projects, 1(1), 1 - 38. Retrieved from https://pkp.odvcasarcobaleno.it/index.php/ejvcbp/article/view/76