Literature Reviews
Reviewed research papers, articles, and publications relevant to digital accessibility.
138 results found tagged machine learning.
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AIDE: An Automatic Image Description Engine for Review Imagery
This paper from Wayfair presents AIDE, a multimodal machine learning system that automatically generates contextual alt-text for user-submitted review images in e-commerce — a category of imagery that is particularly inaccessible because it is user-g…
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Laying a Foundation for the Graphical Course Map
This paper from the University of Utah presents ENABLE, a system that transforms traditional linear, text-based learning management system (LMS) course presentations into interactive graphical course maps. The authors argue that current LMS platforms…
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Using Web Interaction to Monitor Parkinson's Disease Progression through Behavioural Inferences on the Web
This doctoral consortium paper from the University of Manchester proposes a novel approach to monitoring Parkinson's Disease (PD) progression using passive smartphone data collection and web interaction analysis, replacing the intrusive wearable devi…
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Supporting the selection of web content modality based on user interactions logs
This paper explores using machine learning to automatically detect whether a web user is employing assistive technology based solely on their interaction patterns during a single pageview, without requiring explicit profile configuration or customiza…
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Computer vision-based analysis of web page structure for assistive interfaces
This doctoral consortium paper proposes a novel approach to understanding web page structure by analyzing rendered page images using computer vision, rather than relying on the DOM tree or source code as most existing web page segmentation methods do…
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Using data from social media websites to inspire the design of assistive technology
This doctoral consortium paper proposes using social media data as a low-cost, scalable method to inform the design of assistive technology, addressing limitations of traditional user research approaches. The author argues that designing assistive te…
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A Task Assignment Strategy for Crowdsourcing-Based Web Accessibility Evaluation System
This paper addresses a practical challenge in scaling web accessibility evaluation: how to effectively assign manual evaluation tasks to volunteer crowdsource workers with varying levels of expertise. While automated tools can check many accessibilit…
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WAEM: A Web Accessibility Evaluation Metric Based on Partial User Experience Order
This paper introduces WAEM (Web Accessibility Experience Metric), a novel accessibility metric that derives checkpoint weights from actual user experience data rather than from WCAG priority levels. The authors demonstrate that existing metrics like …
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Active Learning for Web Accessibility Evaluation
This paper introduces "active-prediction," a semi-supervised machine learning method that addresses a fundamental bottleneck in web accessibility evaluation: the prohibitive cost of evaluating all pages in a large website. Current practice relies on …
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Detecting Autism Based on Eye-Tracking Data from Web Searching Tasks
This paper investigates whether eye-tracking data collected during everyday web tasks can be used to distinguish between people with and without autism, potentially enabling a low-cost, accessible screening approach. The study collected gaze data fro…