Integrating Dark Pattern Taxonomies
CoRR(2024)
摘要
The problem of “Dark Patterns" in user interface/user experience (UI/UX)
design has proven a difficult issue to tackle. Malicious and explotitative
design has expanded to multiple domains in the past 10 years and which has in
turn led to multiple taxonomies attempting to describe them. While these
taxonomies holds their own merit, and constitute unique contributions to the
literature, their usefulness as separate entities is limited. We believe that
in order to make meaningful progress in regulating malicious interface design,
we must first form a globally harmonized system (GHS) for the classification
and labeling of Dark Patterns. By leaning on network analysis tools and
methods, this paper synthesizes existing taxonomies and their elements through
as a directed graph. In doing so, the interconnectedness of Dark patterns can
be more clearly revealed via community (cluster) detection. Ultimately, we hope
that this work can serve as the inspiration for the creation of a glyph-based
GHS for the classification of Dark Patterns.
更多查看译文
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要