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Daylon Walden

dblp:374/9461 · DBLP profile ↗
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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

TopicWeightPapersLastEvidence papers
Interaction techniques and input
gesture input
0.812024
Designing Haptic Feedback for Sequential Gestural Inputs · CHI 2024
Haptics and multimodal interaction › haptic feedback
haptic feedback design
0.812024
Designing Haptic Feedback for Sequential Gestural Inputs · CHI 2024
Interaction techniques and input › gesture input
mid-air gestures
0.812024
Designing Haptic Feedback for Sequential Gestural Inputs · CHI 2024
Accessibility and assistive technology
older adults
0.212024
Designing Haptic Feedback for Sequential Gestural Inputs · CHI 2024

Methods — techniques the papers use, named apart from their topics

user study · 0.8
YearPublicationVenuePosition
2024 Designing Haptic Feedback for Sequential Gestural Inputs
abstract
This 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
CHI5