Y
Yue-Ting Siu
Researcher at San Francisco State University
Publications - 13
Citations - 152
Yue-Ting Siu is an academic researcher from San Francisco State University. The author has contributed to research in topics: Video production & Computer science. The author has an hindex of 6, co-authored 12 publications receiving 82 citations. Previous affiliations of Yue-Ting Siu include University of California, Berkeley.
Papers
More filters
Journal ArticleDOI
Guiding Novice Web Workers in Making Image Descriptions Using Templates
TL;DR: Two methods of employing novice Web workers to author descriptions of science, technology, engineering, and mathematics images to make them accessible to individuals with visual and print-reading disabilities are compared.
Journal ArticleDOI
Enactivism and ethnomethodological conversation analysis as tools for expanding Universal Design for Learning: the case of visually impaired mathematics students
TL;DR: In this paper, the authors argue for the utility of two additional frameworks to enhance UDL efforts: enactivism, a cognitive-sciences view of learning, knowing, and reasoning as modal activity; and ethnomethodological conversation analysis, which investigates participants' multimodal methods for coordinating action and meaning.
Proceedings ArticleDOI
Human-in-the-Loop Machine Learning to Increase Video Accessibility for Visually Impaired and Blind Users
Beste F. Yuksel,Pooyan Fazli,Umang Mathur,Vaishali Bisht,Soo Jung Kim,Joshua Junhee Lee,Seung Jung Jin,Yue-Ting Siu,Joshua A. Miele,Ilmi Yoon +9 more
TL;DR: The HILML approach facilitates human-machine collaboration to produce high quality video descriptions while keeping a low barrier to entry for volunteer describers and was significantly faster and easier to use for first-time video describers compared to a human-only control condition with no machine learning assistance.
Journal ArticleDOI
Teachers of Students with Visual Impairments and Their Use of Assistive Technology: Measuring the Proficiency of Teachers and Their Identification with a Community of Practice.
Yue-Ting Siu,Valerie S. Morash +1 more
TL;DR: An instrument that measures the assistive technology proficiency of teachers of students with visual impairments and their identification with a community of practice that values technology is presented.
Proceedings ArticleDOI
Increasing Video Accessibility for Visually Impaired Users with Human-in-the-Loop Machine Learning
Beste F. Yuksel,Soo Jung Kim,Seung Jung Jin,Joshua Junhee Lee,Pooyan Fazli,Umang Mathur,Vaishali Bisht,Ilmi Yoon,Yue-Ting Siu,Joshua A. Miele +9 more
TL;DR: A Human-in-the-Loop Machine Learning (HILML) approach to video description is developed by automating video text generation and scene segmentation while allowing humans to edit the output.