research-article

Disability-first Dataset Creation: Lessons from Constructing a Dataset for Teachable Object Recognition with Blind and Low Vision Data Collectors

Authors:

Lida Theodorou,

Daniela Massiceti,

Luisa Zintgraf,

Cecily Morrison,

Edward Cutrell,

Matthew Tobias Harris,

Katja HofmannAuthors Info & Claims

ASSETS '21: Proceedings of the 23rd International ACM SIGACCESS Conference on Computers and Accessibility

Article No.: 27, Pages 1 - 12

https://doi.org/10.1145/3441852.3471225

Published: 17 October 2021 Publication History

Abstract

Artificial Intelligence (AI) for accessibility is a rapidly growing area, requiring datasets that are inclusive of the disabled users that assistive technology aims to serve. We offer insights from a multi-disciplinary project that constructed a dataset for teachable object recognition with people who are blind or low vision. Teachable object recognition enables users to teach a model objects that are of interest to them, e.g., their white cane or own sunglasses, by providing example images or videos of objects. In this paper, we make the following contributions: 1) a disability-first procedure to support blind and low vision data collectors to produce good quality data, using video rather than images; 2) a validation and evolution of this procedure through a series of data collection phases and 3) a set of questions to orient researchers involved in creating datasets toward reflecting on the needs of their participant community.

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Disability-first Dataset Creation: Lessons from Constructing a Dataset for Teachable Object Recognition with Blind and Low Vision Data Collectors

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cover image ACM Conferences

ASSETS '21: Proceedings of the 23rd International ACM SIGACCESS Conference on Computers and Accessibility

October 2021

730 pages

ISBN:9781450383066

DOI:10.1145/3441852

Editors:
Jonathan Lazar
University of Maryland, USA
,
Jinjuan Heidi Feng
Towson University, USA
,
Faustina Hwang
Towson University, USA

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SIGACCESS: ACM Special Interest Group on Accessible Computing

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Published: 17 October 2021

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ASSETS '21: The 23rd International ACM SIGACCESS Conference on Computers and Accessibility

October 18 - 22, 2021

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ASSETS '21 Paper Acceptance Rate 36 of 134 submissions, 27%;

Overall Acceptance Rate 436 of 1,556 submissions, 28%

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