Demonstration venue · read-only. Every page can be browsed; the buttons that would change it are switched off. Create an account to run TaxoReview on your own data. A simulation from public publication records: the people listed were not invited and did not agree to review.
? Tutorial for this page

Vaibhav Vadgama

dblp:129/2198 · DBLP profile ↗
← Back
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

TopicWeightPapersLastEvidence papers
Interaction techniques and input › input sensing › gesture recognition
gesture classification
0.012013
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
YearPublicationVenuePosition
2013 Bending the rules: bend gesture classification for flexible displays
abstract
Bend 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
CHI3