TY - GEN
T1 - From Awareness to Action
T2 - 2025 CHI Conference on Human Factors in Computing Systems, CHI 2025
AU - Ye, Jingzhou
AU - Li, Yao
AU - Zou, Wenting
AU - Wang, Xueqiang
N1 - Publisher Copyright:
© 2025 Copyright held by the owner/author(s). Publication rights licensed to ACM.
PY - 2025/4/26
Y1 - 2025/4/26
N2 - 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.
AB - 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.
UR - https://www.scopus.com/pages/publications/105005708554
UR - https://www.scopus.com/pages/publications/105005708554#tab=citedBy
U2 - 10.1145/3706598.3713493
DO - 10.1145/3706598.3713493
M3 - Conference contribution
AN - SCOPUS:105005708554
T3 - Conference on Human Factors in Computing Systems - Proceedings
BT - CHI 2025 - Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems
PB - Association for Computing Machinery
Y2 - 26 April 2025 through 1 May 2025
ER -