Designing Haptic Feedback for Sequential Gestural Inputs

要旨

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.

著者
Shan Xu
Meta, Redmond, Washington, United States
Sarah Sykes
Meta, Redmond, Washington, United States
Parastoo Abtahi
Meta, Toronto, Ontario, Canada
Tovi Grossman
University of Toronto, Toronto, Ontario, Canada
Daylon Walden
Meta, Redmond, Washington, United States
Michael Glueck
Meta, Toronto, Ontario, Canada
Carine Rognon
Meta, Redmond, Washington, United States
論文URL

doi.org/10.1145/3613904.3642735

動画

会議: CHI 2024

The ACM CHI Conference on Human Factors in Computing Systems (https://chi2024.acm.org/)

セッション: Mid-air Haptics

320 'Emalani Theater
4 件の発表
2024-05-14 01:00:00
2024-05-14 02:20:00