Name
Title | ||
|---|---|---|
Empirical Investigation of Users' Preferred Timing Parameters for American Sign Language Animations |
Abstract | ||
|---|---|---|
To make it easier to add American Sign Language (ASL) to websites, which would increase information accessibility for many Deaf users, we investigate software to semi-automatically produce ASL animation from an easy-to-update script of the message, requiring us to automatically select the speed and timing for the animation. While we can model speed and timing of human signers from video recordings, prior work has suggested that users prefer animations to be slower than videos of humans signers. However, no prior study had systematically examined the multiple parameters of ASL timing, which include: sign duration, transition time, pausing frequency, pausing duration, and differential signing rate. In an experimental study, 16 native ASL signers provided subjective preference judgements during a side-by-side comparison of ASL animations in which each of these five parameters was varied. We empirically identified and report users' preferences for each of these individual timing parameters of ASL animation.
|
Year | DOI | Venue |
|---|---|---|
2020 | 10.1145/3334480.3382989 | CHI '20: CHI Conference on Human Factors in Computing Systems
Honolulu
HI
USA
April, 2020 |
Keywords | DocType | ISBN |
American Sign Language, Accessibility for Deaf or Hard-of-Hearing, Natural Language Processing, Speed, Timing, Human Computer Interaction | Conference | 978-1-4503-6819-3 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Sedeeq Al-khazraji | 1 | 3 | 2.80 |
| Becca Dingman | 2 | 1 | 3.07 |
| Matt Huenerfauth | 3 | 428 | 51.83 |