Research Article

From Attention to Emotion: Psychophysiological Drivers of Online Purchase Decisions

Volume: 12 Number: 2 December 29, 2025
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From Attention to Emotion: Psychophysiological Drivers of Online Purchase Decisions

Abstract

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.

Keywords

Ethical Statement

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.

Thanks

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.

References

  1. Aldayel, M., Ykhlef, M., & Al-Nafjan, A. (2020). Deep learning for EEG-based preference classification in neuromarketing. Applied Sciences, 10(4), 1525.
  2. Alemdag, E., & Cagiltay, K. (2018). A systematic review of eye tracking research on multimedia learning. Computers & Education, 125, 413-428.
  3. Badgett, M., Boyce, M. S., & Kleinberger, H. (2007). Turning shoppers into advocates. IBM Institute for Business Value, 35(3), 352-369.
  4. 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.
  5. Bergstrom, J. R., & Schall, A. (Eds.). (2014). Eye tracking in user experience design. Elsevier.
  6. 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.
  7. Białowąs, S., & Szyszka, A. (2019). Measurement of electrodermal activity in marketing research. Managing Economic Innovations–Methods and Instruments, 73-90.
  8. Boardman, R., & Mccormick, H. (2021). Attention and behaviour on fashion retail websites: An eye-tracking study. Information Technology & People, 35(7), 2219-2240.

Details

Primary Language

English

Subjects

E-Trade, Marketing (Other)

Journal Section

Research Article

Publication Date

December 29, 2025

Submission Date

September 17, 2025

Acceptance Date

November 20, 2025

Published in Issue

Year 2025 Volume: 12 Number: 2

APA
Aydın, M. S., & Şenkayas, H. (2025). From Attention to Emotion: Psychophysiological Drivers of Online Purchase Decisions. Pamukkale Üniversitesi İşletme Araştırmaları Dergisi, 12(2), 628-649. https://doi.org/10.47097/piar.1786046
AMA
1.Aydın MS, Şenkayas H. From Attention to Emotion: Psychophysiological Drivers of Online Purchase Decisions. Pamukkale Business Research. 2025;12(2):628-649. doi:10.47097/piar.1786046
Chicago
Aydın, Mustafa Seçkin, and Hüseyin Şenkayas. 2025. “From Attention to Emotion: Psychophysiological Drivers of Online Purchase Decisions”. Pamukkale Üniversitesi İşletme Araştırmaları Dergisi 12 (2): 628-49. https://doi.org/10.47097/piar.1786046.
EndNote
Aydın MS, Şenkayas H (December 1, 2025) From Attention to Emotion: Psychophysiological Drivers of Online Purchase Decisions. Pamukkale Üniversitesi İşletme Araştırmaları Dergisi 12 2 628–649.
IEEE
[1]M. S. Aydın and H. Şenkayas, “From Attention to Emotion: Psychophysiological Drivers of Online Purchase Decisions”, Pamukkale Business Research, vol. 12, no. 2, pp. 628–649, Dec. 2025, doi: 10.47097/piar.1786046.
ISNAD
Aydın, Mustafa Seçkin - Şenkayas, Hüseyin. “From Attention to Emotion: Psychophysiological Drivers of Online Purchase Decisions”. Pamukkale Üniversitesi İşletme Araştırmaları Dergisi 12/2 (December 1, 2025): 628-649. https://doi.org/10.47097/piar.1786046.
JAMA
1.Aydın MS, Şenkayas H. From Attention to Emotion: Psychophysiological Drivers of Online Purchase Decisions. Pamukkale Business Research. 2025;12:628–649.
MLA
Aydın, Mustafa Seçkin, and Hüseyin Şenkayas. “From Attention to Emotion: Psychophysiological Drivers of Online Purchase Decisions”. Pamukkale Üniversitesi İşletme Araştırmaları Dergisi, vol. 12, no. 2, Dec. 2025, pp. 628-49, doi:10.47097/piar.1786046.
Vancouver
1.Mustafa Seçkin Aydın, Hüseyin Şenkayas. From Attention to Emotion: Psychophysiological Drivers of Online Purchase Decisions. Pamukkale Business Research. 2025 Dec. 1;12(2):628-49. doi:10.47097/piar.1786046

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