An Autoethnographic Case Study of Generative Artificial Intelligence's Utility for Accessibility
- DOI
- 10.1145/3597638.3614548
- Published
- 2023-10-22
- Container
- The 25th International ACM SIGACCESS Conference on Computers and Accessibility
- Publisher
- ACM
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1145/3597638.3614548,
title = {An Autoethnographic Case Study of Generative Artificial Intelligence's Utility for Accessibility},
author = {Kate S Glazko and Momona Yamagami and Aashaka Desai and Kelly Avery Mack and Venkatesh Potluri and Xuhai Xu and Jennifer Mankoff},
year = {2023},
journal = {The 25th International ACM SIGACCESS Conference on Computers and Accessibility},
doi = {10.1145/3597638.3614548},
url = {https://doi.org/10.1145/3597638.3614548}
}RIS
TY - JOUR TI - An Autoethnographic Case Study of Generative Artificial Intelligence's Utility for Accessibility AU - Kate S Glazko AU - Momona Yamagami AU - Aashaka Desai AU - Kelly Avery Mack AU - Venkatesh Potluri AU - Xuhai Xu AU - Jennifer Mankoff PY - 2023 JO - The 25th International ACM SIGACCESS Conference on Computers and Accessibility DO - 10.1145/3597638.3614548 UR - https://doi.org/10.1145/3597638.3614548 ER -
APA
Glazko, K. S., Yamagami, M., Desai, A., Mack, K. A., Potluri, V., Xu, X., & Mankoff, J. (2023). An Autoethnographic Case Study of Generative Artificial Intelligence's Utility for Accessibility. The 25th International ACM SIGACCESS Conference on Computers and Accessibility. https://doi.org/10.1145/3597638.3614548
Source records
- crossref · retrieved 2026-09-25T19:51:00.386Z