Demo Data from VLDB 2026 / reviewers in the wild / expert
Hasitha Rajapakse
dblp:211/2963
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2018
—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 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Interaction techniques and input
gesture input |
0.3 | 1 | 2018 | GestAKey: Touch Interaction on Individual Keycaps · CHI 2018 |
Interaction techniques and input › text entry
keyboard interaction |
0.3 | 1 | 2018 | GestAKey: Touch Interaction on Individual Keycaps · CHI 2018 |
Methods — techniques the papers use, named apart from their topics
log study · 0.3controlled experiment · 0.3
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2018 | GestAKey: Touch Interaction on Individual KeycapsabstractConventionally, keys on a physical keyboard have only two states: "released'' and "pressed''. As such, various techniques, such as hotkeys, are designed to enhance the keyboard expressiveness. Realizing that user inevitably perform touch actions during keystrokes, we propose GestAKey, leveraging location and motion of the touch on individual keycaps to augment the functionalities of existing keystrokes. With a log study, we collected touch data for both normal usage (typing and hotkeys) and while performing touch gestures (location and motion), which are analyzed to assess the viability of augmenting keystrokes with simultaneous gestures. A controlled experiment was conducted to compare GestAKey with existing keyboard interaction techniques, in terms of efficiency and learnability. The results show that GestAKey has comparable performance with hotkey. We further discuss the insights of integrating such touch modality into existing keyboard interaction, and demonstrate several usage scenarios. Yilei Shi, Haimo Zhang, Hasitha Rajapakse, Nuwan Tharaka Perera, Tomás Vega Galvez, Suranga Nanayakkara |
CHI | 3 |