Tools in Marketing Research: Exploring Emotional Responses to Stimuli
DOI:
https://doi.org/10.47743/saeb-2024-0009Keywords:
emotional responses, neuromarketing, consumer behavior, EMG, GSR, ECG.Abstract
Electromyography (EMG), galvanic skin responses (GSR), and electrocardiogram (ECG) tools have been used to investigate emotional responses to marketing stimuli, encompassing advertisements, product packaging, and brand logos. However, despite the widespread application of EMG, GSR, and ECG tools in neuromarketing research, a comprehensive synthesis of their collective impact remains conspicuously absent. Addressing this gap is the primary goal of the present review paper, which systematically scrutinizes recent studies employing EMG, GSR, and ECG to assess emotional responses to marketing stimuli. Employing the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) protocol, relevant articles were meticulously extracted from the Scopus database, spanning the years 2009 to 2022, including twenty articles for detailed analysis. The outcomes of this review underscore the unique insights offered by these tools into emotional reactions, emphasizing that their collective utilization can afford a more comprehensive understanding of these intricate processes. This propels advancements in comprehending the pivotal role of emotions in consumer behavior and serves as a guidepost for future research directions in this burgeoning field. Ultimately, this paper aims to furnish a broad understanding and detailed insights into the current trends within neuromarketing research, specifically employing EMG, GSR, and ECG tools.
References
Ahmad, L., Afiah, I. N., Chairany, N., Ahmad, A., & Irfandi, M. (2022). Packaging Design of Fried Banana Products for Food Packaging Assurance for Consumers Using food Delivery Services in Makassar City. Journal of Industrial Engineering and Management, 7(2), 169-174. http://dx.doi.org/10.33536/jiem.v7i2.1325
Albrecht, C. M., Hattula, S., & Lehmann, D. R. (2017). The Relationship between Consumer Shopping Stress and Purchase Abandonment in Task-Oriented and Recreation-Oriented Consumers. Journal of the Academy of Marketing Science, 45(5), 720-740. http://dx.doi.org/10.1007/s11747-016-0514-5
Alsharif, A. H. (2023). The Enhancing Islamic Advertising Effectiveness Through Emotional Processes and Consumer-Centric Elements. Paper presented at the International Conference on Sustainable Islamic Business and Finance (SIBF), Bahrain.
Alsharif, A. H., & Pilelienė, L. (2023). A Bibliometric Analysis of Human Hormones in Consumer Neuroscience and Human Behavior Research: Trends and Insights with Implications for Marketing. Baltic Journal of Economic Studies, 9(5), 1-12. http://dx.doi.org/10.30525/2256-0742/2023-9-5-1-12
Alsharif, A. H., Salleh, N. Z. M., Abdullah, M., Khraiwish, A., & Ashaari, A. (2023a). Neuromarketing Tools Used in the Marketing Mix: A Systematic Literature and Future Research Agenda. SAGE Open, 13(1), 1-23. http://dx.doi.org/10.1177/21582440231156563
Alsharif, A. H., Salleh, N. Z. M., Al-Zahrani, S. A., & Khraiwish, A. (2022a). Consumer Behaviour to Be Considered in Advertising: A Systematic Analysis and Future Agenda. Behavioral Sciences (Basel, Switzerland), 12(12), 472-493. http://dx.doi.org/10.3390/bs12120472
Alsharif, A. H., Salleh, N. Z. M., Alrawad, M., & Lutfi, A. (2023b). Exploring Global Trends and Future Directions in Advertising Research: A Focus on Consumer Behavior. Current Psychology (New Brunswick, N.J.), 43(June), 1-24. http://dx.doi.org/10.1007/s12144-023-04812-w
Alsharif, A. H., Salleh, N. Z. M., & Baharun, R. (2020a). Research trends of neuromarketing: A Bibliometric Analysis. Journal of Theoretical and Applied Information Technology, 98(15), 2948-2962.
Alsharif, A. H., Salleh, N. Z. M., & Baharun, R. (2021a). Neuromarketing: Marketing Research in the New Millennium. Neuroscience Research Notes, 4(3), 27-35. http://dx.doi.org/10.31117/neuroscirn.v4i3.79
Alsharif, A. H., Salleh, N. Z. M., & Baharun, R. (2021b). Neuromarketing: The Popularity of the Brain-Imaging and Physiological Tools. Neuroscience Research Notes, 3(5), 13-22. http://dx.doi.org/10.31117/neuroscirn.v3i5.80
Alsharif, A. H., Salleh, N. Z. M., Baharun, R., Abuhassna, H., & Alharthi, R. H. E. (2022b). A Global Research Trends of Neuromarketing: 2015-2020. Revista de Comunicación, 21(1), 15-32. http://dx.doi.org/10.26441/RC21.1-2022-A1
Alsharif, A. H., Salleh, N. Z. M., Baharun, R., Abuhassna, H., & Alsharif, Y. H. (2022c). Neuromarketing in Malaysia: Challenges, Limitations, and Solutions. Paper presented at the International Conference on Decision Aid Sciences and Applications (DASA), Chiangrai, Thailand.
Alsharif, A. H., Salleh, N. Z. M., Baharun, R., Hashem E, A. R., Mansor, A. A., Ali, J., & Abbas, A. F. (2021c). Neuroimaging Techniques in Advertising Research: Main Applications, Development, and Brain Regions and Processes. Sustainability (Basel), 13(11), 6488-6493. http://dx.doi.org/10.3390/su13116488
Alsharif, A. H., Salleh, N. Z. M., Baharun, R., & Rami Hashem E, A. (2021d). Neuromarketing research in the last five years: A bibliometric analysis. Cogent Business & Management, 8(1), 1-26.
Alsharif, A. H., Salleh, N. Z. M., Baharun, R., & Safaei, M. (2020b). Neuromarketing Approach: An overview and Future Research Directions. Journal of Theoretical and Applied Information Technology, 98(7), 991-1001.
Alsharif, A. H., Salleh, N. Z. M., Hashem E, A. R., Khraiwish, A., Putit, L., & Arif, L. S. M. (2023c). Exploring Factors Influencing Neuromarketing Implementation in Malaysian Universities: Barriers and Enablers. Sustainability (Basel), 15(5), 4603-4632. http://dx.doi.org/10.3390/su15054603
Alsharif, A. H., Salleh, N. Z. M., Khraiwish, A., & Lama, N. H. (2023d). Exploring the Path of Biomedical Technology in Consumer Neuroscience Research: A Comprehensive Bibliometric Analysis. International Journal of Online and Biomedical Engineering, 19(16), 127-144. http://dx.doi.org/10.3991/ijoe.v19i16.44667
Alsharif, A. H., Salleh, N. Z. M., & Pilelienė, L. (2023e). A Comprehensive Bibliometric Analysis of fNIRS and fMRI Technology in Neuromarketing. Scientific Annals of Economics and Business, 70(3), 1-14. http://dx.doi.org/10.47743/saeb-2023-0031
Alsharif, A. H., Salleh, N. Z. M., Pilelienė, L., Abbas, A. F., & Ali, J. (2022d). Current Trends in the Application of EEG in Neuromarketing: A Bibliometric Analysis. Scientific Annals of Economics and Business, 69(3), 393-415. http://dx.doi.org/10.47743/saeb-2022-0020
Alsharif, A. H., Salleh, N. Z. M., Pilelienė, L., & Al-Zahrani, S. A. (2023f). Exploring the Tourism, Neuro-tourism, and Hospitality Nexus: A Comprehensive Bibliometric Analysis. Journal of Tourism and Services, 14(27), 197-221. http://dx.doi.org/10.29036/jots.v14i27.606
Alsharif, A. H., Salleh, N. Z. M., Wan Amira, W. A., & Khraiwish, A. (2022e). Biomedical Technology in Studying Consumers’ Subconscious Behavior. International Journal of Online and Biomedical Engineering, 18(8), 98-114. http://dx.doi.org/10.3991/ijoe.v18i08.31959
Alvino, L., Pavone, L., Abhishta, A., & Robben, H. (2020). Picking Your Brains: Where and How Neuroscience Tools Can Enhance Marketing Research. Frontiers in Neuroscience, 14(2), 1-25. http://dx.doi.org/10.3389/fnins.2020.577666
Andrii, G., Popova, Y., Bodnaruk, O., Zaika, Y., Chuprina, E., Denys, S., & Oleg, K. (2019). Attractiveness Modeling of Retail on Emotional Fatigue of Consumers. South East European Journal of Economics and Business, 14(2), 106-116. http://dx.doi.org/10.2478/jeb-2019-0017
Awan, A. W., Usman, S. M., Khalid, S., Anwar, A., Alroobaea, R., Hussain, S., . . . Akram, M. U. (2022). An Ensemble Learning Method for Emotion Charting Using Multimodal Physiological Signals. Sensors (Basel), 22(23), 1-16. http://dx.doi.org/10.3390/s22239480
Baldo, D., Viswanathan, V. S., Timpone, R. J., & Venkatraman, V. (2022). The Heart, Brain, and Body of Marketing: Complementary Roles of Neurophysiological Measures in Tracking Emotions, Memory, and Ad Effectiveness. Psychology and Marketing, 39(10), 1979-1991. http://dx.doi.org/10.1002/mar.21697
Baraybar-Fernández, A., Baños-González, M., Barquero-Pérez, Ó., Goya-Esteban, R., & De-la-Morena-Gómez, A. (2017). Evaluation of Emotional Responses to Television Advertising through Neuromarketing. Comunicar, 25(52), 19-28. http://dx.doi.org/10.3916/C52-2017-02
Barquero-Pérez, Ó., Cámara-Vázquez, M. A., Vadillo-Valderrama, A., & Goya-Esteban, R. (2020). Autonomic Nervous System and Recall Modeling in Audiovisual Emotion-Mediated Advertising Using Partial Least Squares-Path Modeling. Frontiers in Psychology, 11(3), 576771-576781. http://dx.doi.org/10.3389/fpsyg.2020.576771
Boksem, M. A. S., & Smidts, A. (2015). Brain Responses to Movie Trailers Predict Individual Preferences for Movies and Their Population-Wide Commercial Success. JMR, Journal of Marketing Research, 52(4), 482-492. http://dx.doi.org/10.1509/jmr.13.0572
Bolls, P. D., Lang, A., & Potter, R. F. (2001). The Effects of Message Valence and Listener Arousal on Attention, Memory, and Facial Muscular Responses to Radio Advertisements. Communication Research, 28(5), 627-651. http://dx.doi.org/10.1177/009365001028005003
Calvert, G. A., Trufil, G., Pathak, A., & Fulcher, E. P. (2020). IMPULSE Moment-by-Moment Test: An Implicit Measure of Affective Responses to Audiovisual Televised or Digital Advertisements. Behavioral Sciences (Basel, Switzerland), 10(4), 73-87. http://dx.doi.org/10.3390/bs10040073
Cartocci, G., Caratù, M., Modica, E., Maglione, A. G., Rossi, D., Cherubino, P., & Babiloni, F. (2017). Electroencephalographic, Heart Rate, and Galvanic Skin Response Assessment for An Advertising Perception Study: Application to Antismoking Public Service Announcements. Journal of Visualized Experiments, 3(126), 55872-55881. http://dx.doi.org/10.3791/55872
Casado-Aranda, L. A., & Sanchez-Fernandez, J. (2022). Advances in Neuroscience and Marketing: Analyzing Tool Possibilities and Research Opportunities. Spanish Journal of Marketing-ESIC, 26(1), 3-22. http://dx.doi.org/10.1108/SJME-10-2021-0196
Chen, C. C., Han, J., & Wang, Y. C. (2022). A Hotel Stay for a Respite from Work? Examining Recovery Experience, Rumination and Well-Being among Hotel and Bed-and-Breakfast Guests. International Journal of Contemporary Hospitality Management, 34(4), 1270-1289. http://dx.doi.org/10.1108/IJCHM-08-2021-0975
Cherubino, P., Martinez-Levy, A. C., Caratu, M., Cartocci, G., Di Flumeri, G., Modica, E., . . . Trettel, A. (2019). Consumer Behaviour through the Eyes of Neurophysiological Measures: State-of-the-Art and Future Trends. Computational Intelligence and Neuroscience, 2019(2), 1-42.
Cimtay, Y., Ekmekcioglu, E., & Caglar-Ozhan, S. (2020). Cross-Subject Multimodal Emotion Recognition Based on Hybrid Fusion. IEEE Access : Practical Innovations, Open Solutions, 8(September), 168865-168878. http://dx.doi.org/10.1109/ACCESS.2020.3023871
Cuesta, U., Martínez-Martínez, L., & Niño, J. I. (2018). A Case Study in Neuromarketing: Analysis of the Influence of Music on Advertising Effectivenes through Eye-Tracking, Facial Emotion and GSR. European Journal of Social Sciences Education and Research, 5(2), 84-92. http://dx.doi.org/10.26417/ejser.v5i2.p84-92
Cui, Y. (2019). The Presentation of Brand Personality in English-Chinese Brand Name Translation. International Journal of Market Research, 61(1), 33-49. http://dx.doi.org/10.1177/1470785318775358
Dawson, M. E., Schell, A. M., & Filion, D. L. (2017). The electrodermal system. In J. T. Cacioppo, L. G. Tassinary, & G. G. Berntson (Eds.), Handbook of Psychophysiology (Third ed., pp. 200-223). Cambridge, UK: Cambridge University Press. http://dx.doi.org/10.1017/9781107415782
De-Frutos-Arranz, S., & López, M. F. B. (2022). The State of the Art of Emotional Advertising in Tourism: A Neuromarketing Perspective. Tourism Review International, 26(2), 139-162.
Durán-Acevedo, C. M., Carrillo-Gómez, J. K., & Albarracín-Rojas, C. A. (2021). Electronic Devices for Stress Detection in Academic Contexts During Confinement because of the Covid-19 Pandemic. Electronics (Basel), 10(3), 301-324. http://dx.doi.org/10.3390/electronics10030301
Dursun, M., & Goker, N. (2019). A 2-Tuple Integrated DEA-Based Approach for Neuromarketing Technology Evaluation. Kybernetes, 48(5), 949-966. http://dx.doi.org/10.1108/K-01-2018-0014
Ekman, P. (2004). Darwin, Deception, and Facial Expression. Annals of the New York Academy of Sciences, 1000(1), 205-221. http://dx.doi.org/10.1196/annals.1280.010
Fatchurrohman, N., Yetrina, M., Muhida, R., & Hidayat, A. (2022). Product Development using Kansei Engineering to Re-design New Food Packaging. Jurnal Teknologi, 12(1), 8-13. http://dx.doi.org/10.35134/jitekin.v12i1.60
Fortunato, V. C. R., Giraldi, J. D. M. E., & De Oliveira, J. H. C. (2014). A Review of Studies on Neuromarketing: Practical Results, Techniques, Contributions and Limitations. Journal of Management Research, 6(2), 201-221. http://dx.doi.org/10.5296/jmr.v6i2.5446
Fugate, D. L. (2007). Neuromarketing: A Layman’s Look at Neuroscience and Its Potential Application to Marketing Practice. Journal of Consumer Marketing, 24(7), 385-394. http://dx.doi.org/10.1108/07363760710834807
Giakoni, F., López, M., Segado, F., Manzanares, A., & Mínguez, J. (2022). An Implicit Research Methodology to Evaluate Advertising Effectiveness in Esports Streaming Based on Viewers’ Gaze, Cognitive and Emotional Responses. SPORT TK-Revista EuroAmericana de Ciencias del Deporte, 11(2), 1-21. http://dx.doi.org/10.6018/sportk.485921
Guixeres, J., Bigné, E., Ausín Azofra, J. M., Alcañiz Raya, M., Colomer Granero, A., Fuentes Hurtado, F., & Naranjo Ornedo, V. (2017). Consumer Neuroscience-Based Metrics Predict Recall, Liking and Viewing Rates in Online Advertising. Frontiers in Psychology, 8(3), 1-14. http://dx.doi.org/10.3389/fpsyg.2017.01808
Gunaratne, N. M., Fuentes, S., Gunaratne, T. M., Torrico, D. D., Francis, C., Ashman, H., . . . Dunshea, F. R. (2019). Effects of Packaging Design on Sensory Liking and Willingness to Purchase: A Study Using Novel Chocolate Packaging. Heliyon, 5(6), 1696-1705. http://dx.doi.org/10.1016/j.heliyon.2019.e01696
Guo, F., Ye, G., Duffy, V. G., Li, M., & Ding, Y. (2018). Applying Eye Tracking and Electroencephalography to Evaluate the Effects of Placement Disclosures on Brand Responses. Journal of Consumer Behaviour, 17(6), 519-531. http://dx.doi.org/10.1002/cb.1736
Gupta, V. (2019). The Influencing Role of Social Media in the Consumer’s Hotel Decision-Making Process. Worldwide Hospitality and Tourism Themes, 11(4), 378-391. http://dx.doi.org/10.1108/WHATT-04-2019-0019
Gutjar, S., Dalenberg, J. R., de Graaf, C., de Wijk, R. A., Palascha, A., Renken, R. J., & Jager, G. (2015). What Reported Food-Evoked Emotions May Add: A Model to Predict Consumer Food Choice. Food Quality and Preference, 45(October), 140-148. http://dx.doi.org/10.1016/j.foodqual.2015.06.008
Hadinejad, A., Moyle, B., Scott, N., & Kralj, A. (2019). Emotional Responses to Tourism Advertisements: The Application of Facereader. Tourism Recreation Research, 44(1), 131-135. http://dx.doi.org/10.1080/02508281.2018.1505228
Halkin, A. (2018). Emotional State of Consumer in the Urban Purchase: Processing Data. Foundations of Management, 10(1), 99-112. http://dx.doi.org/10.2478/fman-2018-0009
Harris, J., Ciorciari, J., & Gountas, J. (2018). Consumer Neuroscience for Marketing Researchers. Journal of Consumer Behaviour, 17(3), 239-252. http://dx.doi.org/10.1002/cb.1710
Herrador, J. L. M., Núñez-Cansado, M., & Cárion, M. I. V. (2020). Neuromarketing Methodology: Sociograph Measurement Applied to the a+Analysis of the Erotic Audiovisual Narrative and Its Applications to the Marketing Strategy. Vivat Academia, 23(150), 131-154.
Ilicic, J., & Brennan, S. M. (2022). Shake It Off and Eat Less: Anxiety-Inducing Product Packaging Design Influences Food Product Interaction and Eating. European Journal of Marketing, 56(2), 562-583. http://dx.doi.org/10.1108/EJM-01-2021-0038
Jamil, D. A., Mahmood, R. K., Ismail, Z. S., Jwmaa, S. J., Younus, S. Q., Othman, B. J., . . . Kanabi, I. S. (2022). Consumer Purchasing Decision: Choosing the Marketing Strategy to Influence Consumer Decision Making. International Journal of Humanities and Education Development, 4(6), 38-52. http://dx.doi.org/10.22161/jhed.4.6.4
Kemp, E., Briggs, E., & Anaza, N. A. (2020). The Emotional Side of Organizational Decision-Making: Examining the Influence of Messaging in Fostering Positive Outcomes for the Brand. European Journal of Marketing, 54(7), 1609-1640. http://dx.doi.org/10.1108/EJM-09-2018-0653
Kim, S. Y., Ahn, S. Y., & Koh, A. R. (2016). Fashion Consumers’ Purchase Decision-Making Styles Related to the Enneagram Core Values and Self-Construal Levels. Human Ecology Research, 54(2), 207-225. http://dx.doi.org/10.6115/fer.2016.017
Kumar, V., Rajan, B., Salunkhe, U., & Joag, S. G. (2022). Relating the Dark Side of New‐Age Technologies and Customer Technostress. Psychology and Marketing, 39(12), 2240-2259. http://dx.doi.org/10.1002/mar.21738
Lajante, M., Droulers, O., Derbaix, C., & Poncin, I. (2020). Looking at Aesthetic Emotions in Advertising Research through a Psychophysiological Perspective. Frontiers in Psychology, 11(September), 1-7. http://dx.doi.org/10.3389/fpsyg.2020.553100
Lang, A., Dhillon, K., & Dong, Q. (1995). The Effects of Emotional Arousal and Valence on Television Viewers’ Cognitive Capacity and Memory. Journal of Broadcasting & Electronic Media, 39(3), 313-327. http://dx.doi.org/10.1080/08838159509364309
Larsen, J. T., Norris, C. J., & Cacioppo, J. T. (2003). Effects of Positive and Negative Affect on Electromyographic Activity over Zygomaticus Major and Corrugator Supercilii. Psychophysiology, 40(5), 776-785. http://dx.doi.org/10.1111/1469-8986.00078
Leanza, F. (2017). Consumer Neuroscience: The Traditional and VR TV Commercial. Neuropsychological trends, 21(1), 81-90.
Lei, M., Chen, W., Wu, J., Zhang, Y., & Lv, Y. (2024). Neurophysiological Measures in Hospitality and Tourism: Review, Critique, and Research Agenda. Journal of Hospitality & Tourism Research (Washington, D.C.), 48(1), 3-31. http://dx.doi.org/10.1177/10963480221091117
Levrini, G. R., & Jeffman dos Santos, M. (2021). The Influence of Price on Purchase Intentions: Comparative Study Between Cognitive, Sensory, and Neurophysiological Experiments. Behavioral Sciences (Basel, Switzerland), 11(2), 1-16. http://dx.doi.org/10.3390/bs11020016
Lewinski, P. (2015). Don’t Look Blank, Happy, or Sad: Patterns of Facial Expressions of Speakers in Banks’ YouTube Videos Predict Video’s Popularity over Time. Journal of Neuroscience, Psychology, and Economics, 8(4), 241-249. http://dx.doi.org/10.1037/npe0000046
Liao, L. X., Corsi, A. M., Chrysochou, P., & Lockshin, L. (2015). Emotional Responses Towards Food Packaging: A Joint Application of Self-Report and Physiological Measures of Emotion. Food Quality and Preference, 42(June), 48-55. http://dx.doi.org/10.1016/j.foodqual.2015.01.009
Liaudanskaitė, G., Saulytė, G., Jakutavičius, J., Vaičiukynaitė, E., Zailskaitė-Jakštė, L., & Damaševičius, R. (2018). Analysis of Affective and Gender Factors in Image Comprehension of Visual Advertisement. In R. Silhavy (Ed.), Artificial Intelligence and Algorithms in Intelligent Systems (pp. 1-11). Kaunas, Lithuania: Springer International Publishing AG. http://dx.doi.org/10.3390/foods11091183
López-Mas, L., Claret, A., Bermúdez, A., Llauger, M., & Guerrero, L. (2022). Co-Creation with Consumers for Packaging Design Validated through Implicit and Explicit Methods: Exploratory Effect of Visual and Textual Attributes. Foods, 11(9), 1183-1205.
Lucia-Palacios, L., Pérez-López, R., & Polo-Redondo, Y. (2020). Does Stress Matter in Mall Experience and Customer Satisfaction? Journal of Services Marketing, 34(2), 177-191. http://dx.doi.org/10.1108/JSM-03-2019-0134
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), 3578-3594. http://dx.doi.org/10.1016/j.heliyon.2020.e03578
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. http://dx.doi.org/10.1007/s12208-021-00289-0
McClure, S. M., Li, J., Tomlin, D., Cypert, K. S., Montague, L. M., & Montague, P. R. (2004). Neural Correlates of Behavioral Preference for Culturally Familiar Drinks. Neuron, 44(2), 379-387. http://dx.doi.org/10.1016/j.neuron.2004.09.019
McDuff, D., Kaliouby, R. E., Cohn, J. F., & Picard, R. W. (2015). Predicting Ad Liking and Purchase Intent: Large-Scale Analysis of Facial Responses to Ads. IEEE Transactions on Affective Computing, 6(3), 223-235. http://dx.doi.org/10.1109/TAFFC.2014.2384198
Mengual-Recuerda, A., Tur-Viñes, V., & Juárez Varón, D. (2020). Neuromarketing in Haute Cuisine Gastronomic Experiences. Frontiers in Psychology, 11(August), 1-15. http://dx.doi.org/10.3389/fpsyg.2020.01772
Missaglia, A. L., Oppo, A., Mauri, M., Ghiringhelli, B., Ciceri, A., & Russo, V. (2017). The Impact of Emotions on Recall: An Empirical Study on Social Ads. Journal of Consumer Behaviour, 16(5), 424-433. http://dx.doi.org/10.1002/cb.1642
Mutlu, B., Yamaoka, F., Kanda, T., Ishiguro, H., & Hagita, N. (2009). Nonverbal Leakage in Robots: Communication of Intentions through Seemingly Unintentional Behavior. Paper presented at the Proceedings of the 4th ACM/IEEE International Conference on Human Robot Interaction, La Jolla, California.
Nemat, B., Razzaghi, M., Bolton, K., & Rousta, K. (2019). The Role of Food Packaging Design in Consumer Recycling Behavior—A Literature Review. Sustainability (Basel), 11(16), 4350-4373. http://dx.doi.org/10.3390/su11164350
Nourbakhsh, N., Chen, F., Wang, Y., & Calvo, R. A. (2017). Detecting Users’ Cognitive Load by Galvanic Skin Response with Affective Interference. ACM Transactions on Interactive Intelligent Systems, 7(3), 1-20. http://dx.doi.org/10.1145/2960413
Ohme, R., Matukin, M., & Pacula-Lesniak, B. (2011). Biometric Measures for Interactive Advertising Research. Journal of Interactive Advertising, 11(2), 60-72. http://dx.doi.org/10.1080/15252019.2011.10722185
Page, M. J., McKenzie, J. E., Bossuyt, P. M., Boutron, I., Hoffmann, T. C., Mulrow, C. D., . . . Moher, D. (2021). The PRISMA 2020 statement: An updated guideline for reporting systematic reviews. Systematic Reviews, 10(1), 1-11. http://dx.doi.org/10.1186/s13643-021-01626-4
Pilelienė, L., Alsharif, A. H., & Alharbi, I. B. (2022). Scientometric Analysis of Scientific Literature on Neuromarketing Tools in Advertising. Baltic Journal of Economic Studies, 8(5), 1-12. http://dx.doi.org/10.30525/2256-0742/2022-8-5-1-12
Plassmann, H., O’doherty, J., & Rangel, A. (2007). Orbitofrontal Cortex Encodes Willingness to Pay in Everyday Economic Transactions. The Journal of Neuroscience : The Official Journal of the Society for Neuroscience, 27(37), 9984-9988. http://dx.doi.org/10.1523/JNEUROSCI.2131-07.2007
Plassmann, H., Venkatraman, V., Huettel, S., & Yoon, C. (2015). Consumer Neuroscience: Applications, Challenges, and Possible Solutions. JMR, Journal of Marketing Research, 52(4), 427-435. http://dx.doi.org/10.1509/jmr.14.0048
Poels, K., & Dewitte, S. (2019). The Role of Emotions in Advertising: A Call to Action. Journal of Advertising, 48(1), 81-90. http://dx.doi.org/10.1080/00913367.2019.1579688
Raheel, A., Majid, M., Alnowami, M., & Anwar, S. M. (2020). Physiological Sensors Based Emotion Recognition while Experiencing Tactile Enhanced Multimedia. Sensors (Basel), 20(14), 4037-4056. http://dx.doi.org/10.3390/s20144037
Reimann, M., Castaño, R., Zaichkowsky, J., & Bechara, A. (2012). How We Relate to Brands: Psychological and Neurophysiological Insights into Consumer–Brand Relationships. Journal of Consumer Psychology, 22(1), 128-142. http://dx.doi.org/10.1016/j.jcps.2011.11.003
Salichs, M. A., Barber, R., Khamis, A. M., Malfaz, M., Gorostiza, J. F., Pacheco, R., . . . García, D. (2006). Maggie: A Robotic Platform for Human-Robot Social Interaction. . Paper presented at the 2006 IEEE Conference on Robotics, Automation and Mechatronics, Bangkok, Thailand.
Sanchez-Comas, A., Synnes, K., Molina-Estren, D., Troncoso-Palacio, A., & Comas-González, Z. (2021). Correlation Analysis of Different Measurement Places of Galvanic Skin Response in Test Groups Facing Pleasant and Unpleasant Stimuli. Sensors, 21(12), 4210-4237. http://dx.doi.org/10.3390/s21124210
Simmonds, G., & Spence, C. (2017). Thinking Inside the Box: How Seeing Products on, or through, the Packaging Influences Consumer Perceptions and Purchase Behaviour. Food Quality and Preference, 62(December), 340-351. http://dx.doi.org/10.1016/j.foodqual.2016.11.010
Somervuori, O., & Ravaja, N. (2013). Purchase Behavior and Psychophysiological Responses to Different Price Levels. Psychology and Marketing, 30(6), 479-489. http://dx.doi.org/10.1002/mar.20621
Stanton, S. J., Sinnott-Armstrong, W., & Huettel, S. A. (2017). Neuromarketing: Ethical Implications of Its Use and Potential Misuse. Journal of Business Ethics, 144(4), 799-811. http://dx.doi.org/10.1007/s10551-016-3059-0
Sung, B., Wilson, N. J., Yun, J. H., & Lee, E. J. (2020). What Can Neuroscience Offer Marketing Research? Asia Pacific Journal of Marketing and Logistics, 32(5), 1089-1111. http://dx.doi.org/10.1108/APJML-04-2019-0227
Vecchiato, G., Astolfi, L., De Vico Fallani, F., Cincotti, F., Mattia, D., Salinari, S., . . . Babiloni, F. (2010). Changes in Brain Activity During the Observation of TV Commercials by Using EEG, GSR and HR Measurements. Brain Topography, 23(2), 165-179. http://dx.doi.org/10.1007/s10548-009-0127-0
Vecchiato, G., Cherubino, P., Trettel, A., & Babiloni, F. (2013). Neuroelectrical brain imaging tools for the study of the efficacy of TV advertising stimuli and their application to neuromarketing Verlag Berlin Heidelberg, Germany: Springer. http://dx.doi.org/10.1007/978-3-642-38064-8
Vences, N. A., Díaz-Campo, J., & Rosales, D. F. G. (2020). Neuromarketing as an Emotional Connection Tool between Organizations and Audiences in Social Networks. A Theoretical Review. Frontiers in Psychology, 11(2), 1-12. http://dx.doi.org/10.3389/fpsyg.2020.01787
Venkatraman, V., Dimoka, A., Pavlou, P. A., Vo, K., Hampton, W., Bollinger, B., . . . Winer, R. S. (2015). Predicting Advertising Success beyond Traditional Measures: New Insights from Neurophysiological Methods and Market Response Modeling. Journal of Marketing Research, 52(4), 436-452. http://dx.doi.org/10.1509/jmr.13.0593
Vergura, D. T., & Luceri, B. (2018). Product Packaging and Consumers’ Emotional Response. Does Spatial Representation Influence Product Evaluation and Choice? Journal of Consumer Marketing, 35(2), 218-227. http://dx.doi.org/10.1108/JCM-12-2016-2021
Wei, W., Jia, Q., Feng, Y., & Chen, G. (2018). Emotion Recognition Based on Weighted Fusion Strategy of Multichannel Physiological Signals. Computational Intelligence and Neuroscience, 2018(July), 1-9. http://dx.doi.org/10.1155/2018/5296523
Wyatt, K. D., Poole, L. R., Mullan, A. F., Kopecky, S. L., & Heaton, H. A. (2020). Clinical Evaluation and Diagnostic Yield Following Evaluation of Abnormal Pulse Detected Using Apple Watch. Journal of the American Medical Informatics Association : JAMIA, 27(9), 1359-1363. http://dx.doi.org/10.1093/jamia/ocaa137
Yarosh, O. B., Kalkova, N. N., & Reutov, V. E. (2021). Customer Emotions When Making an Online Purchase Decision: Results of Neuromarketing Experiments. Upravlenec, 12(4), 42-58. http://dx.doi.org/10.29141/2218-5003-2021-12-4-4
Zaltman, G. (2000). Consumer Researchers: Take a Hike! The Journal of Consumer Research, 26(4), 423-428. http://dx.doi.org/10.1086/209573
Zhang, L., Zhao, H., & Cude, B. (2021). Luxury Brands Join Hands: Building Interactive Alliances on Social Media. Journal of Research in Interactive Marketing, 15(4), 787-803. http://dx.doi.org/10.1108/JRIM-02-2020-0041
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