Demo Data from VLDB 2026 / reviewers in the wild / expert
Barbara Schmid
dblp:129/2177
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2013
—ORCID · unresolved
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 |
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 |
|---|---|---|---|---|
Usability and user experience research › evaluation methodology
self-report measures |
0.2 | 1 | 2013 | Investigating self-reporting behavior in long-term studies · CHI 2013 |
Methods — techniques the papers use, named apart from their topics
longitudinal study · 0.2log analysis · 0.2
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2013 | Investigating self-reporting behavior in long-term studiesabstractSelf-reporting techniques, such as data logging or a diary, are frequently used in long-term studies, but prone to subjects' forgetfulness and other sources of inaccuracy. We conducted a six-week self-reporting study on smartphone usage in order to investigate the accuracy of self-reported information, and used logged data as ground truth to compare the subjects' reports against. Subjects never recorded more than 70% and, depending on the requested reporting interval, down to less than 40% of actual app usages. They significantly overestimated how long they used apps. While subjects forgot self-reports when no automatic reminders were sent, a high reporting frequency was perceived as uncomfortable and burdensome. Most significantly, self-reporting even changed the actual app usage of users and hence can lead to deceptive measures if a study relies on no other data sources. Andreas Möller, Matthias Kranz, Barbara Schmid, Luis Roalter, Stefan Diewald |
CHI | 3 |