Effect of Ranking and Precision of Results on Users’ Satisfaction with Search-by-Video Sign-language Dictionaries
Abstract
Advances in sign language recognition technology can enable users of American Sign Language (ASL) dictionaries to search for a sign whose meaning is unknown by submitting a video of themselves performing the sign they had encountered, based on their memory of how it appeared. However, the relationship between the performance of sign recognition technology and user satisfaction of such search interaction is unknown. In two Wizard-of-Oz experimental studies, we found that in addition to the position of the desired word in a list of results, the similarity of the other words in the results list also affected user satisfaction.
Type
Publication
In Sign Language Recognition, Translation and Production (SLRTP) Workshop-Extended Abstracts (Vol. 4) at 16th European Conference on Computer Vision
Saad Hassan
Assistant Professor
My research interests include human-computer interaction (HCI), accessibility, and computational social science.
Oliver Alonzo
Assistant Professor at DePaul University
Abraham Glasser
Assistant Professor at Gallaudet University
