American Sign Language web survey

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jkasenga

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Hi everyone,

I'm currently a senior at Purdue University studying Computer Graphics Technology. For my senior project, I'm working with the usage of American Sign Language in Computer Graphics and have worked with a team of fellow students to create a web survey. The survey is designed to help determine the best method for shading animations of a hand signing in ASL. We hope to use the data we obtain from this survey to help future development of sign language animations and add to their clarity and viability.

Anyone willing to help go through our survey will be greatly appreciated. We've tested our survey with a few people already, but have yet to access a large population that is deaf or hard of hearing. The survey can be accessed from:
Panacea Survey
The duration of the survey will take about 15-20 minutes.

The participation is voluntary and participants must be 18 years or older. Confidentiality will be kept since we will not be asking for any names. Any information given to us will be seen only by the Co-Investigators and Principal Investigator.

We thank you for taking the time to complete the survey. If you have any questions, feel free to contact me at jkasenga@purdue.edu.
 
jkasenga said:
Hi everyone,

I'm currently a senior at Purdue University studying Computer Graphics Technology. For my senior project, I'm working with the usage of American Sign Language in Computer Graphics and have worked with a team of fellow students to create a web survey. The survey is designed to help determine the best method for shading animations of a hand signing in ASL. We hope to use the data we obtain from this survey to help future development of sign language animations and add to their clarity and viability.

Anyone willing to help go through our survey will be greatly appreciated. We've tested our survey with a few people already, but have yet to access a large population that is deaf or hard of hearing. The survey can be accessed from:
Panacea Survey
The duration of the survey will take about 15-20 minutes.

The participation is voluntary and participants must be 18 years or older. Confidentiality will be kept since we will not be asking for any names. Any information given to us will be seen only by the Co-Investigators and Principal Investigator.

We thank you for taking the time to complete the survey. If you have any questions, feel free to contact me at jkasenga@purdue.edu.
Click to expand...

I started taking the survey, but it was very difficult to understand what was being said because of a couple things: first, the speed is too fast. Second, the movements are jerky and it's hard to concentrate on them when that happens. Lastly, the hands do not follow a natural rhythm for movement.

I have one question: How much input did you take from native signers before creating the 3-D modeling?
 
See Vlog
[ame]http://www.youtube.com/watch?v=fmcJvJGxlbQ[/ame]
 
Sorry if it felt that I was just spamming forums to get information from deaf people, but I really wasn't sure how the best way to get the word out about the survey and this seemed like a good place to start.

Just to give you some background about our testing, the model was not created by me. I personally don't understand sign language so I can't really speak to the accuracy of the signs. The letters were made by a fellow Purdue student (whose father is ironically the deaf man in the vlog posted--we've been starting to get our name out there :P). I will say that the animations are likely jerky and unnatural since they were made by me, but that's not the point of our testing. I kept the purpose to myself at first to try and get people to take the survey without knowing, but since we're approaching our target number of testers, I don't feel too bad about sharing that the testing specifically is being done to determine what method of shading is most effective for understanding ASL on a 3D model. Those of you who've looked at it may have notice that you're seeing the same words twice but they look a bit different. They are shaded in different ways (I won't get into any real specifics so as not to make a huge text wall) and we are testing to see if there's a significant difference in the understandability of ASL based on shading method.
 
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