Demo Data from SIGIR 2026 / reviewers in the wild / expert
Stacey Conchie
dblp:361/1928
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2023
0000-0002-0033-7127ORCID · 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.
| 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 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Usable security › usable privacy › privacy behavior
privacy paradox |
0.7 | 1 | 2023 | Un-Paradoxing Privacy: Considering Hopeful Trust · ACM Trans. Comput. Hum. Interact. 2023 |
Methods — techniques the papers use, named apart from their topics
qualitative study · 1.3
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2023 | Un-Paradoxing Privacy: Considering Hopeful TrustabstractExtant literature has proposed an important role for trust in moderating people’s willingness to disclose personal information, but there is scant HCI literature that deeply explores the relationship between privacy and trust in apparent privacy paradox circumstances. Attending to this gap, this article reports a qualitative study examining how people account for continuing to use services that conflict with their stated privacy preferences, and how trust features in these accounts. Our findings undermine the notion that individuals engage in strategic thinking about privacy, raising important questions regarding the explanatory power of the well-known privacy calculus model and its proposed relationship between privacy and trust. Finding evidence of hopeful trust in participants’ accounts, we argue that trust allows people to morally account for their “paradoxical” information disclosure behavior. We propose that effecting greater alignment between people’s privacy attitudes and privacy behavior—or “un-paradoxing privacy”—will require greater regulatory assurances of privacy. Bran Knowles, Stacey Conchie |
ACM Trans. Comput. Hum. Interact. | 2 |