VLDB 2026 Research / reviewers in the wild / expert
Daylon Walden
dblp:374/9461
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2024
0009-0001-6070-3571ORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Human-computer interaction and ubiquitous computing · 1 · 1 since 2021
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 · 61% Haptics and multimodal interaction · 30% Accessibility and assistive technology · 9% |
Topics — the 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Interaction techniques and input
gesture input |
0.8 | 1 | 2024 | Designing Haptic Feedback for Sequential Gestural Inputs · CHI 2024 |
Haptics and multimodal interaction › haptic feedback
haptic feedback design |
0.8 | 1 | 2024 | Designing Haptic Feedback for Sequential Gestural Inputs · CHI 2024 |
Interaction techniques and input › gesture input
mid-air gestures |
0.8 | 1 | 2024 | Designing Haptic Feedback for Sequential Gestural Inputs · CHI 2024 |
Accessibility and assistive technology
older adults |
0.2 | 1 | 2024 | Designing Haptic Feedback for Sequential Gestural Inputs · CHI 2024 |
Methods — techniques the papers use, named apart from their topics
user study · 0.8
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2024 | Designing Haptic Feedback for Sequential Gestural InputsabstractThis work seeks to design and evaluate haptic feedback for sequential gestural inputs, where mid-air hand gestures are used to express system commands. Nine haptic patterns are first designed leveraging metaphors. To pursue efficient interaction, we examine the trade-off between pattern duration and recognition accuracy and find that durations as short as 0.3s-0.5s achieve roughly 80%-90% accuracy. We then examine the haptic design for sequential inputs, where we vary when the feedback for each gesture is provided, along with pattern duration, gesture sequence length, and age. Results show that providing haptic patterns right after detected hand gestures leads to significantly more efficient interaction compared with concatenating all haptic patterns after the gesture sequence. Moreover, the number of gestures had little impact on performance, but age is a significant predictor. Our results suggest that immediate feedback with 0.3s and 0.5s pattern duration would be recommended for younger and older users respectively. Shan Xu 0004, Sarah Sykes, Parastoo Abtahi, Tovi Grossman, Daylon Walden, Michael Glueck, Carine Rognon |
CHI | 5 |