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  • 39th CSUN Assistive Technology Conference - March 18-22, 2024 at the Anaheim Marriott

    The Premier AT Conference

39th Annual CSUN Assistive Technology Conference Has Concluded

Accessible Informed Consent Process in Interactive ASL Apps

Date & Time
Wednesday, March 20, 2024 - 3:20 PM PDT  
Location
Platinum 1  
Description
We present an Accessible Informed Consent Process for Deaf and Hard of Hearing Signers in American Sign Language. This process displays each step of an example of informed consent information in American Sign Language on the mobile device and reads the participant’s ASL responses through the mobile device camera. If the response in ASL is “yes” or “consent” to acknowledge whether they understood that step and to move on to the next step, if they did. They can also respond in ASL with “no” or “repeat” if they did not understand the video. The app also supports recording the participants’ signature in American Sign Language instead of English if they desire to do so. The participant feedback in two studies with diverse deaf and hard-of-hearing signers, including college students, senior citizens and people of color, showed that this interactive informed consent process is culturally and linguistically appropriate for diverse Deaf and Hard-of-Hearing people who rely on American Sign Language and gives them more autonomy as research participants, and to assist researchers in reducing the barriers that often prevent ASL users from participating in research studies.  
Audience
  • Information & Communications Technology
  • Healthcare & Rehabilitation
  • Research & Development
Audience Level
Intermediate  
Session Summary (Abstract)
We present an Accessible Informed Consent (IC) Process for Deaf and Hard-of-Hearing Signers who use American Sign Language. The evaluation showed this is culturally and linguistically appropriate for these signers and gives them more autonomy in IC.  
Primary Topic
Deaf and Hard of Hearing  
Secondary Topics
  • Artificial Intelligence (AI) & Machine Learning (ML)
  • Digital Accessibility
 
Session Type
Journal Track  

Presenters

  • Hannah Benjamin
    New Jersey Institute of Technology
  • Natnail Tolossa
    Rochester Institute of Technology
  • Michaela Brandt
    Gallaudet University
  • Raja Kushalnagar
    Gallaudet University

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