Thesis reading list curation:

Archival Analysis

  1. Kumar V, Barik S, Aggarwal S, Kumar D, Raj V. The use of artificial intelligence for persons with disability: a bright and promising future ahead. Disabil Rehabil Assist Technol. 2024 Aug;19(6):2415-2417. doi: 10.1080/17483107.2023.2288241. Epub 2023 Dec 11. PMID: 38079540.
  2. Emma Goldenthal, Jennifer Park, Sunny X. Liu, Hannah Mieczkowski, Jeffrey T. Hancock, Not All AI are Equal: Exploring the Accessibility of AI-Mediated Communication Technology, Computers in Human Behavior, Volume 125, 2021, 106975, ISSN 0747-5632, https://doi.org/10.1016/j.chb.2021.106975. (https://www.sciencedirect.com/science/article/pii/S0747563221002983)
  3. Radanliev, P., De Roure, D., Novitzky, P., & Sluganovic, I. (2023). Accessibility and inclusiveness of new information and communication technologies for disabled users and content creators in the Metaverse. Disability and Rehabilitation: Assistive Technology, 19(5), 1849–1863. https://doi.org/10.1080/17483107.2023.2241882
  4. Shew, Ashley. (2020). Ableism, Technoableism, and Future AI. IEEE Technology and Society Magazine. 39. 40-85. 10.1109/MTS.2020.2967492.
  5. Leah Findlater, Steven Goodman, Yuhang Zhao, Shiri Azenkot, and Margot Hanley. 2020. Fairness issues in AI systems that augment sensory abilities. SIGACCESS Access. Comput., 125, Article 8 (October 2019), 1 pages. https://doi.org/10.1145/3386296.3386304
  6. Lindsay, Sally. (2010). Disability and the digital divide: Gaps and future directions.
  7. Speculative Everything: Design, Prediction, and Possible Futures by Dunne & Raby
  8. Davis, L.J. (Ed.). (2016). The Disability Studies Reader (5th ed.). Routledge. https://doi.org/10.4324/9781315680668
  9. ' Floyd , F Mueller , M G Petersen , Z Li Technology futures: Towards understanding how to design awe-inspiring futures Int J Hum Comput Stud , volume 170 Posted: 2023-02-01
  10. Mukta Kulkarni, Digital accessibility: Challenges and opportunities, IIMB Management Review, Volume 31, Issue 1, 2019, Pages 91-98, ISSN 0970-3896, https://doi.org/10.1016/j.iimb.2018.05.009, (https://www.sciencedirect.com/science/article/pii/S0970389617301131)
  11. Marianne Kinnula, Netta Iivari, Sumita Sharma, Grace Eden, Markku Turunen, Krishnashree Achuthan, Prema Nedungadi, Tero Avellan, Biju Thankachan, and Rucha Tulaskar. 2021. Researchers’ Toolbox for the Future: Understanding and Designing Accessible and Inclusive Artificial Intelligence (AIAI). In Proceedings of the 24th International Academic Mindtrek Conference (Academic Mindtrek '21). Association for Computing Machinery, New York, NY, USA, 1–4. https://doi.org/10.1145/3464327.3464965
  12. Bedour Alshaigy and Virginia Grande. 2024. Forgotten Again: Addressing Accessibility Challenges of Generative AI Tools for People with Disabilities. In Adjunct Proceedings of the 2024 Nordic Conference on Human-Computer Interaction (NordiCHI '24 Adjunct). Association for Computing Machinery, New York, NY, USA, Article 68, 1–6. https://doi.org/10.1145/3677045.3685493
  13. Cecily Morrison, Martin Grayson, Rita Faia Marques, Daniela Massiceti, Camilla Longden, Linda Wen, and Edward Cutrell. 2023. Understanding Personalized Accessibility through Teachable AI: Designing and Evaluating Find My Things for People who are Blind or Low Vision. In Proceedings of the 25th International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS '23). Association for Computing Machinery, New York, NY, USA, Article 31, 1–12. https://doi.org/10.1145/3597638.3608395
  14. Gregg Vanderheiden and Crystal Yvette Marte. 2024. Will AI allow us to dispense with all or most accessibility regulations? In Extended Abstracts of the 2024 CHI Conference on Human Factors in Computing Systems (CHI EA '24). Association for Computing Machinery, New York, NY, USA, Article 571, 1–9. https://doi.org/10.1145/3613905.3644059