Disability-first Dataset Creation: Lessons from Constructing a Dataset for Teachable Object Recognition with Blind and Low Vision Data Collectors
Lida Theodorou, Daniela Massiceti, Luisa Zintgraf, Simone Stumpf, Cecily Morrison, Edward Cutrell, Matthew Tobias Harris, Katja Hofmann · 2021 · Proceedings of the 23rd International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS '21)
This paper presents a disability-first approach to constructing a machine learning dataset for teachable object recognition, developed through the ORBIT (Objects that Recognize Blind Individuals in Their environment) project. The authors argue that while AI for accessibility is…
disability-first design · dataset creation · teachable object recognition · blind and low vision · machine learning