Evidence map›Paper›PMID 41809446›Full record

ArticleASSETS. Annual ACM Conference on Assistive Technologies2025

Modeling Accessibility: Characterizing What We Mean by "Accessible".

Kelly Avery Mack, Jennifer Mankoff, Heather D Evans, Jesse J Martinez, James Fogarty, Cynthia L Bennett, Aaleyah Lewis, Leah Findlater, Emma J McDonnell

Abstract read
In one paragraph

Article in ASSETS. Annual ACM Conference on Assistive Technologies, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. "I Don't Trust it, but I Use it": Navigating Trust, Privacy, and Identity in Disabled People's Use of Generative AI.Proceedings of the SIGCHI conference on human factors in computing systems. CHI Conference · 2026
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Kelly Avery MackUniversity of Washington Seattle, Washington, USA.
Jennifer MankoffUniversity of Washington Seattle, Washington, USA.
Heather D EvansUniversity of Washington Seattle, Washington, USA.
Jesse J MartinezUniversity of Washington Seattle, Washington, USA.
James FogartyUniversity of Washington Seattle, Washington, USA.
Cynthia L BennettGoogle New York, New York, USA.
Aaleyah LewisUniversity of Washington Seattle, Washington, USA.
Leah FindlaterUniversity of Washington Seattle, Washington, USA.
Emma J McDonnellUniversity of Washington Seattle, Washington, USA.

Funding

University of Washington Biomedical Informatics and Data Science Research Training ProgramT15LM007442 · NLM · UNIVERSITY OF WASHINGTON · PI JOHN H. GENNARI, Andrea L. Hartzler · 2002 to 2026
$19.6M
ACL HHS 90REGE0026NLM NIH HHS T15 LM007442
6 · The paper itself

Abstract

Accessibility research has a broad mandate: use technology to make the world more accessible to disabled people. Yet, as a field, accessibility research lacks a clear characterization of what "accessibility" is. Furthermore, it has been historically limited in who is designed for, focusing on specific types of disability and often failing to consider how disability intersects with other identities. We set out to explicate what it means to make something accessible, grounded in the lived experiences of a diverse group of 25 disabled people. From our empirical findings, we develop a process for modeling accessibility. First, an individual assesses their experience of inaccess, specifically, the type of barrier they face, the technology repertoire they possess, and the contextual factors that shape how they address accessibility barriers. Then, having assessed an access barrier, they perform consequence calculus, weighing all available options to achieve access and deciding upon the option that best matches their priorities. We highlight the situated nature of access; people's identities, contextual factors, repertoires, and priorities all dictate their experience of accessibility.

Identifiers

PMID41809446
PMCPMC12969287

What OpenQuestion holds

Textmetadata
LicenceCC BY-SA
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.