Demo Data from VLDB 2026 / reviewers in the wild / expert
H. T. M. A. Riyadh
dblp:257/1240
· DBLP profile ↗
2ranked-venue papers
2as first author
2since 2021 · last 2026
0000-0003-2545-8088ORCID · corroborated
Domains — the database's venue-derived domains; a paper can count in several
Security and privacy · 1 · 1 first-author · 1 since 2021Human-computer interaction and ubiquitous computing · 1 · 1 first-author · 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 |
Usable security · 100% | |
| Human-computer interaction and pervasive computing
1 paper |
Usability and user experience research · 100% |
Topics — the 1 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Usable security › usable privacy › privacy decision-making
privacy calculus |
0.3 | 1 | 2026 | From Discovery to Decisions: Archetypal Journeys of Mobile App Users and Their Implications on Privacy · CHI 2026 |
Methods — techniques the papers use, named apart from their topics
thematic analysis · 2.0interview study · 2.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2026 | From Discovery to Decisions: Archetypal Journeys of Mobile App Users and Their Implications on PrivacyabstractMobile permission decisions are often studied at the moment a permission request appears. However, our study shows that users’ choices are shaped much earlier, across a multi-stage journey that begins with app-need recognition and unfolds through app discovery, exploration, selection, installation, and first use. Drawing on interviews with 19 U.S. Android users, we map this process and identify four archetypal journeys that explain how early cues, such as discovery sources, app type, and social trust, shape later permission behavior. These insights align with theoretical models like Privacy Calculus, showing how users weigh perceived benefits and risks at each step, and complement Contextual Integrity theory, explaining how social norms and information flows shape expectations and constrain privacy agency across steps. We contribute an empirically grounded framework that clarifies why permission outcomes vary across contexts. Our results reframe mobile privacy as a sequential, path-dependent process, offering implications for future design and research. H. T. M. A. Riyadh, Divyanshu Bhardwaj 0001, Maria Victoria Hellenthal, Alexander Hart, Katharina Krombholz, Sven Bugiel |
CHI | 1 |
| 2024 | Usable Authentication in Virtual Reality: Exploring the Usability of PINs and Gestures
H. T. M. A. Riyadh, Divyanshu Bhardwaj 0001, Adrian Dabrowski, Katharina Krombholz |
ACNS (3) | 1 |