VLDB 2026 Research / reviewers in the wild / expert
Jialun Zhai
dblp:264/7042
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2020
—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 · 87% Wearable and physiological sensing · 13% |
Topics — the 2 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Interaction techniques and input › text entry
eyes-free text entry |
0.4 | 1 | 2020 | BiTipText: Bimanual Eyes-Free Text Entry on a Fingertip Keyboard · CHI 2020 |
Interaction techniques and input
text entry |
0.4 | 1 | 2020 | BiTipText: Bimanual Eyes-Free Text Entry on a Fingertip Keyboard · CHI 2020 |
Methods — techniques the papers use, named apart from their topics
user study · 0.4optimization · 0.4
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2020 | BiTipText: Bimanual Eyes-Free Text Entry on a Fingertip KeyboardabstractWe present a bimanual text input method on a miniature fingertip keyboard, that invisibly resides on the first segment of a user's index finger on both hands. Text entry can be carried out using the thumb-tip to tap the tip of the index finger. The design of our keyboard layout followed an iterative process, where we first conducted a study to understand the natural expectation of the handedness of the keys in a QWERTY layout for users. Among a choice of 67,108,864 design variations, we identified 1295 candidates offering a good satisfaction for user expectations. Based on these results, we computed an optimized bimanual keyboard layout, while considering the joint optimization problems of word ambiguity and movement time. Our user evaluation revealed that participants achieved an average text entry speed of 23.4 WPM. Zheer Xu, Dongyang Zhao, Jiehui Luo, Te-Yen Wu, Jun Gong 0002, Sicheng Yin, Jialun Zhai, Xing-Dong Yang |
CHI | 8 |