Name
Title | ||
|---|---|---|
Evaluating Wrist-Based Haptic Feedback for Non-Visual Target Finding and Path Tracing on a 2D Surface. |
Abstract | ||
|---|---|---|
Precisely guiding a blind person's hand can be useful for a range of applications from tracing printed text to learning and understanding shapes and gestures. In this paper, we evaluate wrist-worn haptics as a directional hand guide. We implemented and evaluated the following haptic wristband variations: (1) four versus eight vibromotor designs; (2) vibration from only a single motor at a time versus from two adjacent motors using interpolation. To evaluate our designs, we conducted two studies: Study 1 (N=13, 2 blind) showed that participants could non-visually find targets and trace paths more quickly and accurately with single-motor feedback than with interpolated feedback, particularly when only four motors were used. Study 2 (N=14 blind or visually impaired participants) found that single-motor feedback with four motors was faster, more accurate, and most preferred compared to similar feedback with eight motors. We derive implications for the design of wrist-worn directional haptic feedback and discuss future work.
|
Year | DOI | Venue |
|---|---|---|
2017 | 10.1145/3132525.3132538 | ASSETS |
Keywords | Field | DocType |
Haptic feedback, haptic wristband, blind user, wearable computing, accessibility | Computer science,Gesture,Interpolation,Artificial intelligence,Haptic technology,Tracing,Computer vision,Wrist,Wearable computer,Simulation,Path tracing,Vibration,Multimedia | Conference |
ISBN | Citations | PageRank |
978-1-4503-4926-0 | 2 | 0.39 |
References | Authors | |
21 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jonggi Hong | 1 | 41 | 4.24 |
| Alisha Pradhan | 2 | 5 | 4.48 |
| Jon Froehlich | 3 | 2516 | 207.07 |
| Leah Findlater | 4 | 1668 | 101.05 |