Demo Data from SIGIR 2026 / reviewers in the wild / expert
Vaibhav Vadgama
dblp:129/2198
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2013
—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 |
Interaction techniques and input · 100% |
Topics — the 1 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Interaction techniques and input › input sensing › gesture recognition
gesture classification |
0.0 | 1 | 2013 | Bending the rules: bend gesture classification for flexible displays · CHI 2013 |
Methods — techniques the papers use, named apart from their topics
gesture elicitation study · 0.2
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2013 | Bending the rules: bend gesture classification for flexible displaysabstractBend gestures have a large number of degrees of freedom and therefore offer a rich interaction language. We propose a classification scheme for bend gestures, and explore how users perform these bend gestures along four classification criterion: location, direction, size, and angle. We collected 36 unique bend gestures performed three times by each participant. The results suggest a strong agreement among participants for preferences of location and direction. Size and angle were difficult for users to differentiate. Finally, users performed and perceived two distinct levels of magnitude. We propose recommendations for designing bend gestures with flexible displays. Kristen Warren, Jessica Lo, Vaibhav Vadgama, Audrey Girouard |
CHI | 3 |