Coercive design strategies. Manipulative user interfaces. Interface sludge. Consumer deception. “Dark” patterns. Tricky patterns. Malicious patterns. Deceptive patterns. Interface deception and its ilk.

Interface deception refers to elements designed into the user interface that steer user decision-making and behaviour in ways that benefit shareholders but typically harm users, even simply by reducing user agency. We are tackling this modern and wide-scale ethical design challenge with cultural sensitivity.

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Overview

Discovering and Dismantling Dark Patterns in Everyday Interfaces

Our goals are threefold: untangle the nature of interface deception from a human-centred perspective; discover how interface deception is perceived by professionals and the public alike; and explore how interface deception can be redressed. We are carrying out exploratory and confirmatory research on global populations. We are developing and evaluating education, prevention, and protection platforms. The contributions will be a human-centered risk-benefit framework grounded in case studies from the real world, culturally-sensitive knowledge about interface deception, and a suite of methods for enabling a future free of deception.

Timeline

October 2024 to March 2028 due to JST regulations and my move to Cambridge, the grant was cancelled in January 2026

Principal Investigators & Collaborators

Prof. Katie Seaborn (Science Tokyo)
Prof. Tomohiro Nagashima (Saarland University)

Funding & Web

JST PRESTO・さきがけProject Website

Discovering and Dismantling Dark Patterns in Everyday Interfaces

Outcomes

Publications

2909664 wicked patterns 1 apa 50 date desc 1 1 1151 https://aspirelab.io/wp-content/plugins/zotpress/
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Zhang, G. X., & Seaborn, K. (2025). Deceptively Intimate: The Threat of Romantic Mechanics in Video Games. Companion Proceedings of the Annual Symposium on Computer-Human Interaction in Play, CHI PLAY Companion ’25, 222–224. https://doi.org/10.1145/3744736.3749332 Cite
Zhang, G. X., Wang, Y., Nakajima, T. L., & Seaborn, K. (2025). First Contact with Dark Patterns and Deceptive Designs in Chinese and Japanese Free-to-Play Mobile Games. Proc. ACM Hum.-Comput. Interact., 9(6), GAMES025:730-GAMES025:755. https://doi.org/10.1145/3748620 Cite Download
Seaborn, K., Gray, C. M., Gunawan, J., Mildner, T., Schäfer, R., Sanchez Chamorro, L., & Nakamura, S. (2025). Global and Transdisciplinary Perspectives on Dark Patterns and Deceptive Design Practice: ダークパターンとひとをだますデザインに関する国際的かつ学際的な交流. Proceedings of the Extended Abstracts of the CHI Conference on Human Factors in Computing Systems, CHI EA ’25, 1–6. https://doi.org/10.1145/3706599.3716294 Cite Download
Kojima, M., Seaborn, K., Kinoshita, Y., & Nakamura, S. (2025). ダークパターン・ディセプティブデザインに対する、日本の消費者のソーシャルメディアにおける反応について (Japanese consumer reactions on social media to dark patterns and deceptive design). 第 213回 ヒューマンコンピュータインタラクション研究会. 第 213回 ヒューマンコンピュータインタラクション研究会. https://www.sighci.jp/events/sig/213 Cite
Chang, W. J., Seaborn, K., & Adams, A. A. (2024). Theorizing deception: A scoping review of theory in research on dark patterns and deceptive design. Extended Abstracts of the 2024 CHI Conference on Human Factors in Computing Systems, CHI EA ’24, Article No. 321. https://doi.org/10.1145/3613905.3650997 Cite Download
Seaborn, K., Itagaki, T., Watanabe, M., Wang, Y., Geng, P., Fujii, T., Mandai, Y., Kojima, M., & Yoshida, S. (2024). Deceptive, disruptive, no big deal: Japanese people react to simulated dark commercial patterns. Extended Abstracts of the 2024 CHI Conference on Human Factors in Computing Systems, CHI EA ’24, Article No. 95. https://doi.org/10.1145/3613905.3651099 Cite Download
Seaborn, K., & Chang, W. J. (2024, May 12). Another subtle pattern: Examining demographic biases in dark patterns and deceptive design research. Mobilizing Research and Regulatory Action on Dark Patterns and Deceptive Design Practices Workshop at CHI Conference on Human Factors in Computing Systems, DDP CHI ’24. DDP CHI ’24. https://chi2024.darkpatternsresearchandimpact.com/ Cite Download
Hidaka, S., Kobuki, S., Watanabe, M., & Seaborn, K. (2023). Linguistic dead-ends and alphabet soup: Finding dark patterns in Japanese apps. Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, CHI ’23, 1–13. https://doi.org/10.1145/3544548.3580942 Cite Download

Open Data

2023
Chang, Seaborn & Adams (2024)
Systematic review of theory-based research papers
Google Sheets
URL
Pre
2022
Hidaka, Kobuki, Watanabe, & Seaborn (2023)
Heuristic analysis of anonymous Japanese Google App Store apps
Google Sheets
URL
Pre

People

Core Team

Katie Seaborn
  • Dr. Katie Seaborn
  • ケイティー・シーボーン博士
  • Principal Investigator
  • 主任研究者
  • Topics:
    Anything and everything
  • Xiaodan Gloria Zhang
  • 張 瀟丹 (チョウ・ショウタン・グロリア)
  • Ph.D. Student
  • 博士課程学生
  • Topics:
    Maldaimonic orientations, gaming contexts
Miu Kojima
  • Miu Kojima
  • 小島未宇
  • Master's Student
  • 修士課程
  • Topics:
    Sentiment analysis and affective responses
  • Yijia Wang
  • ワン・イジャ
  • Ph.D. Student
  • 博士課程学生
  • Topics:
    Kawaii as deception
Jo Yukami
  • Jo Yukami
  • 湯上 晟
  • B4 Student
  • B4学部生
  • Topics:
    Consumer relations and UX
  • Hiroki Kamakura
  • 鎌倉 裕希
  • B4 Student
  • B4学部生
  • Topics:
    Prevalence in e-commerce websites

Uncanny Project Members

Katie Seaborn
  • Dr. Katie Seaborn
  • ケイティー・シーボーン博士
  • Co-Principal Investigator
  • 共同研究者
  • Dr. Tomohiro Nagashima
  • 永嶋知紘博士
  • Co-Principal Investigator
  • 共同研究者
  • Julia Keckeis
  • Researcher and Manager
  • Shintaro Sato
  • 佐藤真太郎
  • Researcher
  • 研究員
  • Dr. Elena Petrovskaya
  • Researcher
  • Mirella Hladký
  • Researcher
  • René Schäfer
  • Researcher
  • Paul Riesch
  • Developer and Assistant Researcher
  • Émilie Fabre
  • Developer
  • Xiaodan Gloria Zhang
  • Assistant Researcher

Calls for Research Participation

研究に参加する



None at this time.