From Attention to Emotion: Psychophysiological Drivers of Online Purchase Decisions

Yıl 2025, Cilt: 12 Sayı: 2, 628 - 649, 29.12.2025

Mustafa Seçkin Aydın , Hüseyin Şenkayas

https://doi.org/10.47097/piar.1786046

Öz

This study investigates the psychophysiological drivers of online purchase decisions by integrating both unconscious and conscious consumer responses. The research addresses a critical gap in the marketing and consumer behavior literature by demonstrating why traditional self-reported measures are insufficient in capturing the complexity of online customer experience (OCE). In an era where artificial intelligence and digital platforms significantly shape consumer journeys, it becomes essential to understand not only what consumers report but also how they unconsciously respond. To achieve this, we employed a multi-method approach that combined eye-tracking, electrodermal activity (EDA), and semi-structured in-depth interviews with 27 participants. The findings reveal that reliability (59%), prior experience (48%), and price (33%) are the most influential factors driving online purchasing decisions. Moreover, emotions such as enthusiasm, excitement, and interest emerged as dominant during the purchase process, supported by EDA signals. The study contributes to both theory and practice by highlighting the value of psychophysiological measures in consumer research, providing actionable implications for e-commerce businesses to optimize website design, pricing strategies, and customer engagement.

Anahtar Kelimeler

Electrodermal Activity (EDA) , Eye Tracking , Online Customer Experience (OCE) , Online Purchase Decision , Psychophysiological Method

Etik Beyan

Research and publication ethics were strictly adhered to throughout all stages of the research. Ethical approval for this study was obtained from the Ethics Committee for Social and Humanities Research at Aydın Adnan Menderes University, under approval number 147 dated July 30, 2021.

Teşekkür

This article is derived from the corresponding author’s doctoral dissertation, completed in 2024 at Aydın Adnan Menderes University Institute of Social Sciences Department of Business Administration under the supervision of Prof. Hüseyin ŞENKAYAS.

Dikkatten Duyguya: Çevrimiçi Satın Alma Kararlarının Psikofizyolojik Etkenleri

Öz

Bu çalışma, bilinçsiz ve bilinçli tüketici tepkilerini birleştirerek çevrimiçi satın alma kararlarının psikofizyolojik etkenlerini araştırmaktadır. Araştırma, geleneksel öz bildirim ölçümlerinin çevrimiçi müşteri deneyiminin karmaşıklığını yakalamada neden yetersiz olduğunu göstererek pazarlama ve tüketici davranışı literatüründeki önemli bir boşluğu ele almaktadır. Yapay zekâ ve dijital platformların tüketici yolculuklarını önemli ölçüde şekillendirdiği bir çağda, tüketicilerin bildirdiklerini değil, bilinçsizce nasıl tepki verdiklerini de anlamak çok önemli hale gelmektedir. Çalışmada 27 katılımcıyla göz takibi, elektrodermal aktivite (EDA) ve yarı yapılandırılmış derinlemesine görüşmeleri birleştiren çok yöntemli bir yaklaşım kullanılmıştır. Bulgular, güvenilirlik (%59), önceki deneyim (%48) ve fiyat (%33) çevrimiçi satın alma kararlarını etkileyen en önemli faktörler olduğunu ortaya koymaktadır. Ayrıca, EDA sinyalleriyle desteklenen satın alma sürecinde coşku, heyecan ve ilgi gibi duyguların baskın olduğu ortaya çıkmıştır. Bu çalışma, tüketici araştırmalarında psikofizyolojik ölçümlerin değerini vurgulayarak hem teoriye hem de pratiğe katkıda bulunmakta ve e-ticaret işletmelerine web sitesi tasarımı, fiyatlandırma stratejileri ve müşteri etkileşimini optimize etmek için uygulanabilir öneriler sunmaktadır.

Anahtar Kelimeler

Çevrimiçi Müşteri Deneyimi , Çevrimiçi Satın Alma Kararı , Elektrodermal Aktivite (EDA) , Göz Takibi , Psikofizyolojik Yöntem

Etik Beyan

Araştırmanın tüm safhalarında araştırma ve yayın etiğine özen gösterilmiştir. Bu çalışma için etik onay, Aydın Adnan Menderes Üniversitesi Sosyal ve Beşeri Bilimler Araştırma Etik Kurulu'ndan 30 Temmuz 2021 tarihli ve 147 numaralı onay ile alınmıştır.

Teşekkür

Bu makale, 2024 yılında Aydın Adnan Menderes Üniversitesi Sosyal Bilimler Enstitüsü İşletme Bölümü'nde Prof. Hüseyin ŞENKAYAS'ın danışmanlığında tamamlanan sorumlu yazarın doktora tezinden üretilmiştir.

Kaynakça

• Aldayel, M., Ykhlef, M., & Al-Nafjan, A. (2020). Deep learning for EEG-based preference classification in neuromarketing. Applied Sciences, 10(4), 1525.
• Alemdag, E., & Cagiltay, K. (2018). A systematic review of eye tracking research on multimedia learning. Computers & Education, 125, 413-428.
• Badgett, M., Boyce, M. S., & Kleinberger, H. (2007). Turning shoppers into advocates. IBM Institute for Business Value, 35(3), 352-369.
• Bagozzi, R. P., Belanche, D., Casaló, L. V., & Flavián, C. (2016). The role of anticipated emotions in purchase intentions. Psychology & Marketing, 33(8), 629-645.
• Bergstrom, J. R., & Schall, A. (Eds.). (2014). Eye tracking in user experience design. Elsevier.
• Bernard, L., Raina, S., Taylor, B., & Kaza, S. (2021, June). Minimizing cognitive overload in cybersecurity learning materials: An experimental study using eye-tracking. In IFIP World Conference on Information Security Education (pp. 47-63). Cham: Springer International Publishing.
• Białowąs, S., & Szyszka, A. (2019). Measurement of electrodermal activity in marketing research. Managing Economic Innovations–Methods and Instruments, 73-90.
• Boardman, R., & Mccormick, H. (2021). Attention and behaviour on fashion retail websites: An eye-tracking study. Information Technology & People, 35(7), 2219-2240.
• Boucsein, W. (2012). Methods of electrodermal recording. Electrodermal Activity, 87-258.
• Carbone, L. P. (1998). Total customer experience drives value. Management Review, 87(7), 62-63.
• Castagnos, S., Jones, N., & Pu, P. (2010, September). Eye-tracking product recommenders' usage. In Proceedings of the fourth ACM Conference on Recommender Systems (pp. 29-36).
• Chou, W. Y. S., Trivedi, N., Peterson, E., Gaysynsky, A., Krakow, M., & Vraga, E. (2020). How do social media users process cancer prevention messages on Facebook? An eye-tracking study. Patient Education and Counseling, 103(6), 1161-1167.
• Creswell, J. W. (2021). A concise introduction to mixed methods research. SAGE publications.
• Dos Santos, R. D. O. J., de Oliveira, J. H. C., Rocha, J. B., & Giraldi, J. D. M. E. (2015). Eye tracking in neuromarketing: A research agenda for marketing studies. International Journal of Psychological studies, 7(1), 32.
• Duchowski, A. T. (2017). Eye Tracking Methodology: Theory and Practice. Springer.
• Ethier, J., Hadaya, P., Talbot, J., & Cadieux, J. (2006). B2C web site quality and emotions during online shopping episodes: An empirical study. Information & Management, 43(5), 627-639.
• Gagl, B., Hawelka, S., & Hutzler, F. (2011). Systematic influence of gaze position on pupil size measurement: Analysis and correction. Behavior Research Methods, 43(4), 1171-1181.
• Garcez de Oliveira Padilha, L., Malek, L., & Umberger, W. J. (2021). Sustainable meat: Looking through the eyes of Australian consumers. Sustainability, 13(10), 5398.
• Garczarek-Bąk, U. (2019). An overview to neuromarketing research methods. Managing Economic Innovations–Methods and Instruments, 54.
• Guerreiro, J., Rita, P., & Trigueiros, D. (2015). Attention, emotions and cause-related marketing effectiveness. European Journal of Marketing, 49(11/12), 1728-1750.
• Heiselberg, L., & Bjørner, T. (2018). How to evaluate emotional experiences in television drama series: Improving viewer evaluations using a combination of psychophysiological measurements and self-reports. Behaviour & Information Technology, 37(9), 884-893.
• Hwang, J., & Seo, S. (2016). A critical review of research on customer experience management: Theoretical, methodological and cultural perspectives. International Journal of Contemporary Hospitality Management, 28(10), 2218-2246.
• Hwang, Y. M., & Lee, K. C. (2017). Using eye tracking to explore consumers' visual behavior according to their shopping motivation in mobile environments. Cyberpsychology, Behavior, and Social Networking, 20(7), 442-447.
• İleri, R., & Latifoglu, F. (2020). Analysis of the electrodermal activity signals for different stressors using empirical mode decomposition. Academic Platform-Journal of Engineering and Science, 8(2), 407-414.
• Izogo, E. E., (2018). Online Shopping Experience in an Emerging E‐retailing Market. PhD dissertation. University of Hull.
• Jaiswal, S., & Singh, A. (2020). Influence of the determinants of online customer experience on online customer satisfaction. Paradigm, 24(1), 41-55.
• Jin, B., & Park, J. Y. (2006). The moderating effect of online purchase experience on the evaluation of online store attributes and the subsequent impact on market response outcomes. Advances in Consumer Research, 33(1).
• Just, M. A., & Carpenter, P. A. (1980). A theory of reading: From eye fixations to comprehension. Psychological Review, 87(4), 329.
• Kacprzak, A., & Hensel, P. (2023). Exploring online customer experience: A systematic literature review and research agenda. International Journal of Consumer Studies, 47(6), 2583-2608.
• Kim, S. Y., Park, H., Kim, H., Kim, J., & Seo, K. (2022). Technostress causes cognitive overload in high-stress people: Eye tracking analysis in a virtual kiosk test. Information Processing & Management, 59(6), 103093.
• Kocaman, R. (2025). A practical guideline for addressing data trustworthiness in qualitative research. In Qualitative Research Methods for Dissertation Research (pp. 317-346). IGI Global Scientific Publishing.
• Kruger, J. L., Hefer, E., & Matthew, G. (2013, August). Measuring the impact of subtitles on cognitive load: Eye tracking and dynamic audiovisual texts. In Proceedings of the 2013 Conference on Eye Tracking South Africa (pp. 62-66).
• Kuo, Y. F., & Wu, C. M. (2012). Satisfaction and post-purchase intentions with service recovery of online shopping websites: Perspectives on perceived justice and emotions. International Journal of Information Management, 32(2), 127-138.
• Lemon, K. N., & Verhoef, P. C. (2016). Understanding customer experience throughout the customer journey. Journal of marketing, 80(6), 69-96.
• Li, S., Sung, B., Lin, Y., & Mitas, O. (2022). Electrodermal activity measure: A methodological review. Annals of Tourism Research, 96, 103460.
• Martin, N., & Morich, K. (2011). Unconscious mental processes in consumer choice: Toward a new model of consumer behavior. Journal of Brand Management, 18(7), 483-505.
• Mashat, A. (2024). Eye physiology, movement, and the role of eye tracking in instructional design. D. Cvetković & Y.P. Rybarczyk (Eds.), In Navigating the World of Multimedia - Innovation and Applications. Intechopen.
• McKinney, L. N. (2004). Creating a satisfying internet shopping experience via atmospheric variables. International Journal of Consumer Studies, 28(3), 268-283.
• Menon, R. V., Sigurdsson, V., Larsen, N. M., Fagerstrøm, A., & Foxall, G. R. (2016). Consumer attention to price in social commerce: Eye tracking patterns in retail clothing. Journal of Business Research, 69(11), 5008-5013.
• Mikalef, P., Sharma, K., Pappas, I. O., & Giannakos, M. (2021). Seeking information on social commerce: An examination of the impact of user-and marketer-generated content through an eye-tracking study. Information Systems Frontiers, 23(5), 1273-1286.
• Morin, C. (2011). Neuromarketing: The new science of consumer behavior. Society, 48(2), 131-135.
• Mosteller, J., Donthu, N., & Eroglu, S. (2014). The fluent online shopping experience. Journal of Business Research, 67(11), 2486-2493.
• Ohira, H., & Hirao, N. (2015). Analysis of skin conductance response during evaluation of preferences for cosmetic products. Frontiers in Psychology, 6, 103.
• 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.
• Ozkara, B. Y., & Dogan, V. (2022). Is either peripheral detail (s) or central feature (s) easy to mentally process?: EEG examination of mental workload based on construal level theory. Current Psychology, 41(8), 5185-5194.
• Peña-García, N., Losada-Otálora, M., Auza, D. P., & Cruz, M. P. (2024). Reviews, trust, and customer experience in online marketplaces: The case of Mercado Libre Colombia. Frontiers in Communication, 9, 1460321.
• Pierański, B. (2019). Physiological measurement as a (controversial) research method. Managing Economic Innovations–Methods and Instruments, 38.
• Purves, D., Augustine, G., Fitzpatrick, D., Katz, L., LaMantia, A., McNamara, J., & Williams, S. (2001). Neuroscience 2nd edition. sunderland (ma) sinauer associates. Types of Eye Movements and Their Functions, 3.
• Rose, S., Clark, M., Samouel, P., & Hair, N. (2012). Online customer experience in e-retailing: An empirical model of antecedents and outcomes. Journal of retailing, 88(2), 308-322.
• Rose, S., Hair, N., & Clark, M. (2011). Online customer experience: A review of the business‐to‐consumer online purchase context. International Journal of Management Reviews, 13(1), 24-39.
• Schröter, I., Grillo, N. R., Limpak, M. K., Mestiri, B., Osthold, B., Sebti, F., & Mergenthaler, M. (2021). Webcam eye tracking for monitoring visual attention in hypothetical online shopping tasks. Applied Sciences, 11(19), 9281.
• Stadler, R., Jepson, A. S., & Wood, E. H. (2018). Electrodermal activity measurement within a qualitative methodology: Exploring emotion in leisure experiences. International Journal of Contemporary Hospitality Management, 30(11), 3363-3385.
• Statista (2024). Retail e-commerce sales worldwide from 2022 to 2028. Retrieved 2025, from https://www.statista.com/statistics/379046/worldwide-retail-e-commerce-sales/
• Sung, B., Phau, I., & Duong, V. C. (2021). Opening the ‘black box’of luxury consumers: An application of psychophysiological method. Journal of Marketing Communications, 27(3), 250-268.
• Topoglu, Y., Watson, J., Suri, R., & Ayaz, H. (2019, July). Electrodermal activity in ambulatory settings: A narrative review of literature. In International Conference on Applied Human Factors and Ergonomics (pp. 91-102). Springer, Cham.
• Tuncer, A. İ., Aytekin, B. A., Aydın, M. S., Erdem, N., Depboylu, K., Ulusoy, T. A., ... & Kızılhan, T. (2023). Evaluating the relationship between logo and corporate reputation with psychophysiological data harvesting technique. Business & Management Studies: An International Journal, 11(2), 413-434.
• 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.
• Verhoef, P. C., Lemon, K. N., Parasuraman, A., Roggeveen, A., Tsiros, M., & Schlesinger, L. A. (2009). Customer experience creation: Determinants, dynamics and management strategies. Journal of Retailing, 85(1), 31-41.
• Weidig, J., Weippert, M., & Kuehnl, C. (2024). Personalized touchpoints and customer experience: A conceptual synthesis. Journal of Business Research, 177, 114641.
• Zaltman, G. (2003). How customers think: Essential insights into the mind of the market. Harvard Business Press.