Work

Does crowdsourced transcription data increase accessibility for blind and low vision users?

Year: 2024

Type: conference-paper

Abstract: Many crowdsourcing and citizen science projects are conducted collaboratively by galleries, libraries, archives and museums (GLAMs) and research teams, and result in transcription data that could be helpful to blind and low vision users. Through usability and accessibility testing with blind and low vision scholarly users, we identify changes to GLAM systems and data sharing that can increase crowdsourcing, citizen science, and GLAM data discovery and utility for many blind and low vision users.

Source: ARPHA proceedings

DOI: 10.3897/ap.e127213

Authors: Victoria Van Hyning, M.A. Jones, J. Bern Jordan

Institution: University of Maryland, College Park

Language: English

Topic: Digital Accessibility for Disabilities

Subfield: Human Factors and Ergonomics

Field: Social Sciences

Domain: Social Sciences

SDG: Reduced inequalities

Open Access status: gold

Estimated APC paid: $80