Demo Data from SIGIR 2026 / reviewers in the wild / expert
Brian Kemler
dblp:167/8334
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2015
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Human-computer interaction and ubiquitous computing · 1
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 |
Ubiquitous computing and smart environments · 100% | |
| Network and information security
1 paper |
Privacy and data protection · 100% |
Topics — the 2 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Ubiquitous computing and smart environments › automotive computing
automotive sensing |
0.2 | 1 | 2015 | Attitudes toward vehicle-based sensing and recording · UbiComp 2015 |
Privacy and data protection
privacy perceptions |
0.2 | 1 | 2015 | Attitudes toward vehicle-based sensing and recording · UbiComp 2015 |
Methods — techniques the papers use, named apart from their topics
survey · 0.4interview study · 0.4
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2015 | Attitudes toward vehicle-based sensing and recordingabstractVehicles increasingly include features that rely on hi-tech sensors and recording; however, little is known of public attitudes toward such recording. We use two studies, an online survey (n=349) and an interview-based study (n=15), to examine perceptions of vehicle-based sensing and recording. We focus on: 1) how vehicle-based recording and sensing may differ from perceptions of current recording; 2) factors that impact comfort with vehicle-based recording for hypothetical drivers versus bystanders; and 3) perceptions of potential privacy-preserving techniques. We find that vehicle-based recording challenges current mental models of recording awareness. Comfort tends to depend on perceived benefits, which can vary by stakeholder type. Perceived privacy in spaces near cars can also impact comfort and reflect mental models of private spaces as well as the range of potentially sensitive activities people perform in and near cars. Privacy-preserving techniques may increase perceived comfort but may require addressing trust and usability issues. Manya Sleeper, Sebastian Schnorf, Brian Kemler, Sunny Consolvo |
UbiComp | 3 |