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• The ORBIT India Dataset: Understanding the Challenges of Collecting a Disability-First AI Dataset in Low-Resource Environments

  Gesu India, Martin Grayson, Cecily Morrison, Daniela Massiceti, Simon Robinson, Jennifer Pearson, Matt Jones · 2026 · Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems (CHI '26)

  This paper introduces ORBIT-India, the first teachable object recognition dataset contributed entirely by people who are blind or have low vision in India. It extends the UK/Canada-collected ORBIT dataset (Massiceti et al., 2021) to the Indian context — home of the world's…

  AI · accessibility · datasets · teachable object recognition · vision impairment

• Giving Meaning to Movements: Challenges and Opportunities in Expanding Communication by Pairing Unaided AAC with Speech Generated Messages

  Imran Kabir, Sharon Ann Redmon, Lynn R. Elko, Kevin Williams, Mitchell A. Case, Dawn J. Sowers, Krista Wilkinson, Syed Masum Billah · 2026 · Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems (CHI '26)

  Kabir and colleagues tackle a long-standing split in Augmentative and Alternative Communication (AAC): aided AAC — speech-generating devices, symbol boards, tablet apps — produces standardised, intelligible output but is slow, visually demanding, and awkward when partners are…

  AAC · augmentative and alternative communication · motor impairment · speech impairment · wearable technology

• WebUI: A Dataset for Enhancing Visual UI Understanding with Web Semantics

  Jason Wu, Siyan Wang, Siman Shen, Yi-Hao Peng, Jeffrey Nichols, Jeffrey P. Bigham · 2023 · Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems

  This paper introduces WebUI, a large-scale dataset of approximately 400,000 web pages automatically crawled and paired with visual, semantic, and stylistic metadata extracted from the browser engine. The dataset addresses a critical bottleneck in UI understanding research:…

  machine learning · computer vision · UI modeling · web semantics · transfer learning

• Data Representativeness in Accessibility Datasets: A Meta-Analysis

  Rie Kamikubo, Lining Wang, Crystal Marte, Amnah Mahmood, Hernisa Kacorri · 2022 · Proceedings of the 24th International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS '22)

  This paper conducts a systematic meta-analysis of demographic representativeness in 190 accessibility datasets — datasets sourced from people with disabilities and older adults — spanning from 1984 to 2021. The authors examine how age, gender, and race and ethnicity are…

  AI fairness · datasets · representation · diversity · inclusion

• WLA4ND: a Wearable Dataset of Learning Activities for Young Adults with Neurodiversity to Provide Support in Education

  Hui Zheng, Pattiya Mahapasuthanon, Yujing Chen, Huzefa Rangwala, Anya S Evmenova, Vivian Genaro Motti · 2021 · Proceedings of the 23rd International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS '21)

  This paper introduces WLA4ND (Wearable Learning Activities for Neurodiversity), the first wearable sensor dataset of learning activities collected from young adults with neurodiversity. While existing wearable sensor datasets focus on fitness, daily living, and locomotion…

  neurodiversity · wearable technology · machine learning · activity recognition · inclusive education

• Sharing Practices for Datasets Related to Accessibility and Aging

  Rie Kamikubo, Utkarsh Dwivedi, Hernisa Kacorri · 2021 · The 23rd International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS 2021)

  This paper presents a systematic review of 137 accessibility datasets collected from people with disabilities and older adults over a 35-year period (1984-2020). The authors undertook an extensive two-year search process using a multilayer strategy: open searches on search…

  datasets · machine learning · data sharing · privacy · ethics

• Sign Language Interfaces: Discussing the Field's Biggest Challenges

  Danielle Bragg, Meredith Ringel Morris, Christian Vogler, Raja Kushalnagar, Matt Huenerfauth, Hernisa Kacorri · 2020 · Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems (CHI EA '20)

  This CHI 2020 Special Interest Group (SIG) meeting paper (5 pages) is an organising document rather than a conventional research paper. It convenes HCI and accessibility researchers working on sign-language interfaces around the five calls-to-action laid out in Bragg et al.’s…

  sign language · deaf and hard of hearing · deaf culture · american sign language · research methodology

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