From Awareness to Action: The Effects of Experiential Learning on Educating Users about Dark Patterns

要旨

Dark patterns (DPs) refer to unethical user interface designs that deceive users into making unintended decisions, compromising their privacy, safety, financial security, and more. Prior research has mainly focused on defining and classifying DPs, as well as assessing their impact on users, while legislative and technical efforts to mitigate them remain limited. Consequently, users are still exposed to DP risks, making it urgent to educate them on avoiding these harms. However, there has been little focus on developing educational interventions for DP awareness. This study addresses this gap by introducing DPTrek, an experiential learning (EL) platform that educates users through simulated real-world DP cases. Both qualitative and quantitative evaluations show the effectiveness of DPTrek in helping users identify and manage DPs. The study also offers insights for future DP education and research, highlighting challenges such as user-unfriendly taxonomies and the lack of practical mitigation solutions.

受賞
Best Paper
著者
Jingzhou Ye
The University of Central Florida, Orlando, Florida, United States
Yao Li
University of Central Florida, Orlando, Florida, United States
Wenting Zou
The Pennsylvania State University, State college, Pennsylvania, United States
Xueqiang Wang
University of Central Florida, Orlando, Florida, United States
DOI

10.1145/3706598.3713493

論文URL

https://dl.acm.org/doi/10.1145/3706598.3713493

動画

会議: CHI 2025

The ACM CHI Conference on Human Factors in Computing Systems (https://chi2025.acm.org/)

セッション: Dark Patterns and Content Moderation

G304
6 件の発表
2025-04-30 23:10:00
2025-05-01 00:40:00
日本語まとめ
読み込み中…