Demo Data from VLDB 2026 / reviewers in the wild / expert
Yolanda Thiel
dblp:393/3990 · also Yolanda Maira Thiel
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2025
0009-0009-8576-4942ORCID · 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 |
Human-AI interaction · 100% | |
| Network and information security
1 paper |
Usable security · 100% |
Topics — the 1 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Usable security › deception
dark patterns |
0.3 | 1 | 2025 | "Create a Fear of Missing Out" - ChatGPT Implements Unsolicited Deceptive Designs in Generated Websites Without Warning · CHI 2025 |
Methods — techniques the papers use, named apart from their topics
user study · 1.7GPT-4 · 1.7
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2025 | "Create a Fear of Missing Out" - ChatGPT Implements Unsolicited Deceptive Designs in Generated Websites Without WarningabstractWith the recent advancements in Large Language Models (LLMs), web developers increasingly apply their code-generation capabilities to website design. However, since these models are trained on existing designerly knowledge, they may inadvertently replicate bad or even illegal practices, especially deceptive designs (DD). This paper examines whether users can accidentally create DD for a fictitious webshop using GPT-4. We recruited 20 participants, asking them to use ChatGPT to generate functionalities (product overview or checkout) and then modify these using neutral prompts to meet a business goal (e.g., “increase the likelihood of us selling our product”). We found that all 20 generated websites contained at least one DD pattern (mean: 5, max: 9), with GPT-4 providing no warnings. When reflecting on the designs, only 4 participants expressed concerns, while most considered the outcomes satisfactory and not morally problematic, despite the potential ethical and legal implications for end-users and those adopting ChatGPT’s recommendations. Veronika Krauß, Mark McGill, Thomas Kosch, Yolanda Thiel, Jan Gugenheimer |
CHI | 4 |