Literature Reviews
Reviewed research papers, articles, and publications relevant to digital accessibility.
116 results found tagged crowdsourcing.
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The Future of Urban Accessibility for People with Disabilities: Data Collection, Analytics, Policy, and Tools
This workshop paper frames urban accessibility as a "wicked problem" spanning transportation, urban planning, disability studies, public health, and human geography, and assembles a remarkably diverse team of 28 co-organizers from six countries acros…
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Exploring Community-Driven Descriptions for Making Livestreams Accessible
This paper investigates the feasibility of using livestream community members — sighted viewers who are domain experts in the content being streamed — to provide real-time descriptions that make livestreams accessible to viewers with visual impairmen…
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Case Study: In-the-Field Accessibility Information Collection Using Gamification
This study introduces and evaluates a crowdsourcing platform designed to collect real-world accessibility information for constructing accessibility maps that support people with mobility disabilities. Accessibility maps are critical for safe navigat…
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Accessmonkey: Enabling and Sharing End User Accessibility Improvements
This paper proposes the Accessmonkey Framework, a collaborative platform for creating, sharing, and applying user-generated web accessibility improvements. The system addresses the reality that blind users frequently encounter inaccessible web conten…
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Improving Public Transit Accessibility for Blind Riders by Crowdsourcing Bus Stop Landmark Locations with Google Street View: An Extended Analysis
This paper tackles a fundamental challenge in public transit accessibility: helping blind and low-vision riders locate bus stops, which often lack nonvisual markers or consistent landmark placement. The researchers developed Bus Stop CSI (Crowdsourci…
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Mind Your Crossings: Mining GIS Imagery for Crosswalk Localization
This paper presents a computer vision system for automatically detecting and localizing zebra crosswalks in urban environments by mining existing geospatial image databases, specifically Google satellite imagery and Google Street View. The motivation…