Publications

The following includes the recent publications in our lab (including outcomes with other collaborators).

1. Pillai, A. (n.d.). Accessible Usability Scale (AUS). In Fable. https://makeitfable.com/accessible-usability-scale/.

2. Ge, K., & Seo, J. (2024). StereoMath: An Accessible and Musical Equation Editor. Proceedings of the 26th International ACM SIGACCESS Conference on Computers and Accessibility, 1–5. https://doi.org/10.1145/3663548.3688487

3. Kamath, S. S., Zeidieh, A., Khan, O., Sethi, D., & Seo, J. (2024). Playing Without Barriers: Crafting Playful and Accessible VR Table-Tennis with and for Blind and Low-Vision Individuals. Proceedings of the 26th International ACM SIGACCESS Conference on Computers and Accessibility, 1–5. https://doi.org/10.1145/3663548.3688526

4. Seo, J. Y., O’Modhrain, S., Xia, Y., Kamath, S. S., Lee, B., & Coughlan, J. (2024). Designing Born-Accessible Courses in Data Science and Visualization: Challenges and Opportunities of a Remote Curriculum Taught by Blind Instructors to Blind Students. EuroVis 2024 - Education Papers. https://doi.org/10.2312/EVED.20241053

5. Seo, J., Kamath, S. S., Zeidieh, A., Venkatesh, S., & McCurry, S. (2024). MAIDR Meets AI: Exploring Multimodal LLM-Based Data Visualization Interpretation by and with Blind and Low-Vision Users. Proceedings of the 26th International ACM SIGACCESS Conference on Computers and Accessibility, 1–31. https://doi.org/10.1145/3663548.3675660

6. Seo, J., Xia, Y., Lee, B., Mccurry, S., & Yam, Y. J. (2024). MAIDR: Making Statistical Visualizations Accessible with Multimodal Data Representation. Proceedings of the CHI Conference on Human Factors in Computing Systems, 1–22. https://doi.org/10.1145/3613904.3642730

7. Seo, J., & Rogge, M. (2023). Coding Non-Visually in Visual Studio Code: Collaboration Towards Accessible Development Environment for Blind Programmers. Proceedings of the 25th International ACM SIGACCESS Conference on Computers and Accessibility, 1–9. https://doi.org/10.1145/3597638.3614550

8. Sharif, A., McCall, A. L., & Bolante, K. R. (2022). Should I Say “Disabled People” or “People with Disabilities”? Language Preferences of Disabled People Between Identity- and Person-First Language. Proceedings of the 24th International ACM SIGACCESS Conference on Computers and Accessibility, 1–18. https://doi.org/10.1145/3517428.3544813

9. Spiel, K., Gerling, K., Bennett, C. L., Brulé, E., Williams, R. M., Rode, J., & Mankoff, J. (2020). Nothing About Us Without Us: Investigating the Role of Critical Disability Studies in HCI. Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems, 1–8. https://doi.org/10.1145/3334480.3375150

10. Virani, A. (2020). Building the Accessible Usability Scale - A Walkthrough. In Fable. https://makeitfable.com/article/building-the-accessible-usability-scale/.

11. Bennett, C. L., Brady, E., Branham, S. M., & Yam, Y. J. (2018). Interdependence as a Frame for Assistive Technology Research and Design. Proceedings of the 20th International ACM SIGACCESS Conference on Computers and Accessibility, 161–173. https://doi.org/10.1145/3234695.3236348

12. Nowell, L. S., Norris, J. M., White, D. E., & Moules, N. J. (2017). Thematic Analysis: Striving to Meet the Trustworthiness Criteria. International Journal of Qualitative Methods, 16(1), 1609406917733847. https://doi.org/10.1177/1609406917733847

13. Caine, K. (2016). Local Standards for Sample Size at CHI. Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems, 981–992. https://doi.org/10.1145/2858036.2858498

14. Faulkner, L. (2003). Beyond the five-user assumption: Benefits of increased sample sizes in usability testing. Behavior Research Methods, Instruments, & Computers, 35(3), 379–383. https://doi.org/10.3758/BF03195514