VLDB 2026 Research / reviewers in the wild / expert
Marion Bartl
dblp:277/5137
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2024
0000-0002-8893-4961ORCID · 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 · 44% Design research and methods · 44% User interface design and tools · 13% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Human-AI interaction › conversational systems
conversational interface |
0.8 | 1 | 2024 | Listening to the Voices: Describing Ethical Caveats of Conversational User Interfaces According to Experts and Frequent Users · CHI 2024 |
Design research and methods
design ethics |
0.8 | 1 | 2024 | Listening to the Voices: Describing Ethical Caveats of Conversational User Interfaces According to Experts and Frequent Users · CHI 2024 |
User interface design and tools › user interface design
dark patterns |
0.2 | 1 | 2024 | Listening to the Voices: Describing Ethical Caveats of Conversational User Interfaces According to Experts and Frequent Users · CHI 2024 |
Methods — techniques the papers use, named apart from their topics
thematic analysis · 0.8interviews · 0.8
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2024 | Listening to the Voices: Describing Ethical Caveats of Conversational User Interfaces According to Experts and Frequent UsersabstractAdvances in natural language processing and understanding have led to a rapid growth in the popularity of conversational user interfaces (CUIs). While CUIs introduce novel benefits, they also yield risks that may exploit people’s trust. Although research looking at unethical design deployed through graphical user interfaces (GUIs) established a thorough understanding of so-called dark patterns, there is a need to continue this discourse within the CUI community to understand potentially problematic interactions. Addressing this gap, we interviewed 27 participants from three cohorts: researchers, practitioners, and frequent users of CUIs. Applying thematic analysis, we construct five themes reflecting each cohort’s insights about ethical design challenges and introduce the CUI Expectation Cycle, bridging system capabilities and user expectations while considering each theme’s ethical caveats. This research aims to inform future development of CUIs to consider ethical constraints while adopting a human-centred approach. Thomas Eßmeyer, Orla Cooney, Anna-Maria Meck, Marion Bartl, Gian-Luca Savino, Philip R. Doyle, Diego Garaialde, Leigh Clark, John Sloan, Nina Wenig, Rainer Malaka, Jasmin Niess |
CHI | 4 |