Hernisa Kacorri|Matt Huenerfauth|Sarah Ebling|Kasmira Patel|Kellie Menzies|Mackenzie Willard
Regression Analysis of Demographic and Technology-Experience Factors Influencing Acceptance of Sign Language Animation
Carnegie Mellon University|Rochester Institute of Technology|University of Zurich|Rochester Institute of Technology|Rochester Institute of Technology|Rochester Institute of Technology
software automating creation linguistically accurate naturallooking animations american sign language asl could increase information accessibility many people deaf compared recording updating videos human asl signers technology automatically producing animation easytoupdate script would make maintaining asl content websites efficient sign language animation researchers evaluate systems collecting subjective judgments comprehensionquestion responses deaf participants survey n 62 multipleregression analysis identified relationships demographic technologyexperience characteristics participants b subjective objective scores collected evaluation sign language animation systems relationships experimentally verified subsequent user study 57 participants demonstrated specific subpopulations higher comprehension subjective scores viewing sign language animations evaluation study finding indicates researchers collect report set specific characteristics participants publications describing evaluation studies technology practice yet currently standard among researchers working field addition investigating relationship participant characteristics study results also released survey questions asl english used measure participant characteristics encourage reporting data future studies reporting would enable researchers field better interpret compare results studies different participant pools