David Istrati
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Research Interests
David Istrati has a total of 5 co-authors. Here are the top co-authors by number of shared publications:
- Anais Sarrazin
Sonos, San Francisco, CA 94109, USA
1 shared publication - Chenchang Xu
Department of Computer Science, Fu Foundation School of Engineering and Applied Science, Columbia University, New York, NY 10027, USA
1 shared publication - Nicholas A. Giudice
The university of maine
1 shared publication - Stacy A. Doore
Colby College, Waterville, USA
1 shared publication - Yixuan Qiu
John A. Paulson School of Engineering and Applied Sciences, Harvard University, Allston, MA 02134, USA
1 shared publication
Latest Publications
- Open Access
- 18 January 2024
- Published by MDPI AG in Journal of Imaging
- Vol. 10 (1) , 26
Images, Words, and Imagination: Accessible Descriptions to Support Blind and Low Vision Art Exploration and Engagement
The lack of accessible information conveyed by descriptions of art images presents significant barriers for people with blindness and low vision (BLV) to engage with visual artwork. Most museums are not able to easily provide accessible image descriptions for BLV visitors to build a mental representation of artwork due to vastness of collections, limitations of curator training, and current measures for what constitutes effective automated captions. This paper reports on the results of two studies investigating the types of information that should be included to provide high-quality accessible artwork descriptions based on input from BLV description evaluators. We report on: (1) a qualitative study asking BLV participants for their preferences for layered description characteristics; and (2) an evaluation of several current models for image captioning as applied to an artwork image dataset. We then provide recommendations for researchers working on accessible image captioning and museum engagement applications through a focus on spatial information access strategies.
- 18 January 2024
- Published by MDPI AG in Journal of Imaging
- Vol. 10 (1) , 26
Open AccessImages, Words, and Imagination: Accessible Descriptions to Support Blind and Low Vision Art Exploration and Engagement
The lack of accessible information conveyed by descriptions of art images presents significant barriers for people with blindness and low vision (BLV) to engage with visual artwork. Most museums are not able to easily provide accessible image descriptions for BLV visitors to build a mental representation of artwork due to vastness of collections, limitations of curator training, and current measures for what constitutes effective automated captions. This paper reports on the results of two studies investigating the types of information that should be included to provide high-quality accessible artwork descriptions based on input from BLV description evaluators. We report on: (1) a qualitative study asking BLV participants for their preferences for layered description characteristics; and (2) an evaluation of several current models for image captioning as applied to an artwork image dataset. We then provide recommendations for researchers working on accessible image captioning and museum engagement applications through a focus on spatial information access strategies.