Demo Data from EDBT 2026 / reviewers in the wild / expert
Mona Henz
dblp:362/7455
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2025
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Security and privacy · 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.
| Network and information security
1 paper |
Privacy and data protection · 100% | |
| Human-computer interaction and pervasive computing
1 paper |
User interface design and tools · 100% |
Topics — the 2 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Privacy and data protection › privacy compliance › consent
informed consent |
0.9 | 1 | 2025 | Let's Get Visual - Testing Visual Analogies and Metaphors for Conveying Privacy Policies and Data Handling Information · SP 2025 |
Privacy and data protection › privacy policy
privacy policy comprehension |
0.9 | 1 | 2025 | Let's Get Visual - Testing Visual Analogies and Metaphors for Conveying Privacy Policies and Data Handling Information · SP 2025 |
Methods — techniques the papers use, named apart from their topics
between-subjects study · 1.7
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2025 | Let's Get Visual - Testing Visual Analogies and Metaphors for Conveying Privacy Policies and Data Handling InformationabstractWith EU-GDPR and related regulations, the respon-sibility to make privacy-related decisions such as to provide informed consent to data handling practices mainly rests with the user. However, current lengthy privacy policies and often deceptive cookie notices rarely facilitate truly informed consent. Related work on privacy icons or structuring privacy policies aims to enhance users' understanding but achieve mixed results. In a between-subjects study with N=379 participants we thus explored the potential of embedding privacy information in visual metaphors and analogies to support informed decision-making. Additionally, we explored whether dynamic feedback helped users understand the implications of their decisions. While both visual and textual information and feedback appeared to support users' understanding of data handling practices and alignment with personal preferences, with no significant differences between conditions, users per-ceived visualizations as more suitable and aesthetically pleasing than text. This indicates potential for using visual contexts to enhance informed consent not only within existing cookie notices but also in emerging tools such as privacy assistants or related privacy-enhancing technologies. Future work should investigate differences to currently deployed solutions and the effect of perceived pleasantness of design variants on users' understanding and decisions. Verena Zimmermann, Adrienn Toth, Hannah Sievers, Linda Fanconi, Yanis Isenring, Mona Henz, Alina Stöver, Nina Gerber |
SP | 6 |