How People Recognize Dark Pattern in E-Commerce?

Authors

  • Hafidza Safara Zahratunnisa University of Indonesia
  • Imairi Etiveni
  • Betty Purwandari
  • Erisva Hakiki Purwaningsih

DOI:

https://doi.org/10.21609/jsi.v21i1.1479

Keywords:

Dark Patterns, Ethical Issues, User Interface, E-Commerce, Indonesia

Abstract

In the digital era, many manipulative design tactics, commonly referred to as ‘dark patterns’, have emerged. These tactics are designed to hide, mislead, deceive, and even exploit users while using an application. This study explores the dynamics of user perception and their ability to recognize these dark patterns. The study involved evaluating 11 participants through in- depth interviews and exposure to 12 screenshots from Indonesian e-commerce platforms containing these design tactics. Not all participants were able to recognize dark patterns in the screenshots. Those who were able often attributed their awareness to personal experience, highlighting the importance of experiential learning in identifying and understanding deceptive interface elements. However, factors such as unclear interface information, user trust in the interface, and the blending of marketing strategies with dark patterns contribute to the difficulty users experience in recognizing these manipulative tactics. Beyond Indonesia, the findings of this study have broader implications for countries with similar digital ecosystems or socio- economic contexts. Understanding how dark patterns are perceived by users in Indonesia can provide valuable insights for countries with comparable characteristics, particularly in terms of digital literacy levels, trust in online platforms, and regulatory frameworks, where similar manipulative tactics may be prevalent, necessitating a focus on improving understanding of manipulative tactics when interacting with e-commerce applications. This analysis underscores the urgency of increasing user awareness to prevent fraud in design manipulation in e- commerce applications, thereby avoiding user harm. The implications of this study advocate a focus on improving understanding of manipulative tactics when interacting with e-commerce applications, urging digital product practitioners to apply ethical and transparent design principles to improve user satisfaction. There is a need for stricter regulations and clear guidelines to protect consumers from unethical manipulative tactics.

Downloads

Download data is not yet available.

References

Adar, E., Tan, D. S., & Teevan, J. (2013). Benevolent Deception in Human Computer Interaction. Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, 1863–1872. https://doi.org/10.1145/2470654.2466246
Bongard-Blanchy, K., Rossi, A., Rivas, S., Doublet, S., Koenig, V., & Lenzini, G. (2021). ”I Am Definitely Manipulated, Even When I Am Aware of It. It’s Ridiculous!”—Dark Patterns from the End-User Perspective. Proceedings of the 2021 ACM Designing
Interactive Systems Conference, 763–776. https://doi.org/10.1145/3461778.3462086 Brigull, H. (2010). Deceptive Patterns—Home. https://www.deceptive.design/
Di Geronimo, L., Braz, L., Fregnan, E., Palomba, F., & Bacchelli, A. (2020). UI Dark
Patterns and Where to Find Them: A Study on Mobile Applications and User Perception. Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems, 1–14. https://doi.org/10.1145/3313831.3376600
Dmitry, N., & Yerkebulan, B. (2022). Clustering of Dark Patterns in the User Interfaces of Websites and Online Trading Portals (E-Commerce). In Mathematics (Vol. 10, Issue 18). https://doi.org/10.3390/math10183219
Google and Temasek. (2020). Laporan e-Conomy SEA 2023—Google. https://economysea.withgoogle.com/intl/id_id/home/
Gray, C. M., Kou, Y., Battles, B., Hoggatt, J., & Toombs, A. L. (2018). The Dark (Patterns) Side of UX Design. Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems, 1–14. https://doi.org/10.1145/3173574.3174108
Gray, C. M., Sanchez Chamorro, L., Obi, I., & Duane, J.-N. (2023). Mapping the Landscape of Dark Patterns Scholarship: A Systematic Literature Review. Companion Publication of the 2023 ACM Designing Interactive Systems Conference, 188–193. https://doi.org/10.1145/3563703.3596635
Gunawan, J., Pradeep, A., Choffnes, D., Hartzog, W., & Wilson, C. (2021). A Comparative Study of Dark Patterns Across Web and Mobile Modalities. Proc. ACM Hum.- Comput. Interact., 5(CSCW2). https://doi.org/10.1145/3479521
Heeks, R., Gomez-Morantes, J. E., Graham, M., Howson, K., Mungai, P., Nicholson, B., & Van Belle, J.-P. (2021). Digital platforms and institutional voids in developing countries: The case of ride-hailing markets. World Development, 145, 105528. https://doi.org/10.1016/j.worlddev.2021.105528
Karagoel, I., & Nathan-Roberts, D. (2021). Dark Patterns: Social Media, Gaming, and E- Commerce. Proceedings of the Human Factors and Ergonomics Society Annual Meeting, 65(1), 752–756. https://doi.org/10.1177/1071181321651317
Keleher, M., Westin, F., Nagabandi, P., & Chiasson, S. (2022). How Well Do Experts Understand End-Users’ Perceptions of Manipulative Patterns? Nordic Human- Computer Interaction Conference. https://doi.org/10.1145/3546155.3546656
Kim, W. G., Pillai, S. G., Haldorai, K., & Ahmad, W. (2021). Dark patterns used by online travel agency websites. Annals of Tourism Research, 88, 103055. https://doi.org/10.1016/j.annals.2020.103055
Lestari, D. (2019). Measuring e-commerce adoption behaviour among gen-Z in Jakarta, Indonesia. Economic Analysis and Policy, 64, 103–115. https://doi.org/10.1016/j.eap.2019.08.004
Luguri, J., & Strahilevitz, L. J. (2021). Shining a Light on Dark Patterns. Journal of Legal Analysis, 13(1), 43–109. https://doi.org/10.1093/jla/laaa006
Mathur, A. (2021). Identifying and Measuring Manipulative User Interfaces at Scale on the Web. In Conference on Human Factors in Computing Systems—Proceedings. https://doi.org/10.1145/3411763.3457782
Mildner, T., & Savino, G.-L. (2021). Ethical User Interfaces: Exploring the Effects of Dark Patterns on Facebook. Extended Abstracts of the 2021 CHI Conference on Human Factors in Computing Systems. https://doi.org/10.1145/3411763.3451659
Moser, C., Schoenebeck, S. Y., & Resnick, P. (2019). Impulse Buying: Design Practices and Consumer Needs. Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems, 1–15. https://doi.org/10.1145/3290605.3300472
Narayanan, A., Mathur, A., Chetty, M., & Kshirsagar, M. (2020). Dark Patterns: Past, Present, and Future: The Evolution of Tricky User Interfaces. Queue, 18(2), 67–92. https://doi.org/10.1145/3400899.3400901
Tarhini, A., Alalwan, A. A., Shammout, A. B., & Al-Badi, A. (2019). An analysis of the factors affecting mobile commerce adoption in developing countries: Towards an integrated model. Review of International Business and Strategy, 29(3), 157–179. https://doi.org/10.1108/RIBS-10-2018-0092
Voigt, C., Schlögl, S., & Groth, A. (2021). Dark Patterns in Online Shopping: Of Sneaky Tricks, Perceived Annoyance and Respective Brand Trust. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics): Vol. 12783 LNCS (pp. 143–155). https://doi.org/10.1007/978-3-030-77750-0_10

Downloads

Published

2025-03-26

How to Cite

Zahratunnisa, H. S., Etiveni, I. ., Purwandari, B., & Purwaningsih, E. H. (2025). How People Recognize Dark Pattern in E-Commerce?. Jurnal Sistem Informasi, 21(1), 82–97. https://doi.org/10.21609/jsi.v21i1.1479