Demo Data from VLDB 2026 / reviewers in the wild / expert
Katherine Xiong
dblp:358/5853
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2024
0000-0003-0856-2123ORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Human-computer interaction and ubiquitous computing · 1 · 1 since 2021
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Human-computer interaction and pervasive computing
1 paper |
User interface design and tools · 67% Design research and methods · 33% |
Topics — the 2 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
User interface design and tools › user interface design
dark patterns |
0.8 | 1 | 2024 | Beyond Dark Patterns: A Concept-Based Framework for Ethical Software Design · CHI 2024 |
Design research and methods
design ethics |
0.8 | 1 | 2024 | Beyond Dark Patterns: A Concept-Based Framework for Ethical Software Design · CHI 2024 |
Methods — techniques the papers use, named apart from their topics
user study · 0.8concept catalog · 0.8
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2024 | Beyond Dark Patterns: A Concept-Based Framework for Ethical Software DesignabstractCurrent dark pattern research tells designers what not to do, but how do they know what to do? In contrast to prior approaches that focus on patterns to avoid and their underlying principles, we present a framework grounded in positive expected behavior against which deviations can be judged. To articulate this expected behavior, we use concepts—abstract units of functionality that compose applications. We define a design as dark when its concepts violate users’ expectations, and benefit the application provider at the user’s expense. Though user expectations can differ, users tend to develop common expectations as they encounter the same concepts across multiple applications, which we can record in a concept catalog as standard concepts. We evaluate our framework and concept catalog through three studies, illustrating their ability to describe existing dark patterns, evaluate nuanced designs, and document common application functionality. Evan Caragay, Katherine Xiong, Jonathan Zong, Daniel Jackson 0001 |
CHI | 2 |