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• Drop-Down Menu Widget Identification Using HTML Structure Changes Classification

  Humberto Lidio Antonelli, Rodrigo Augusto Igawa, Renata Pontin De Mattos Fortes, Eduardo Henrique Rizo, Willian Massami Watanabe · 2018 · ACM Transactions on Accessible Computing (TACCESS)

  This paper addresses a critical gap in web accessibility: the widespread failure of interactive widgets in rich internet applications (RIAs) to implement WAI-ARIA markup, rendering them inaccessible to screen reader users and other assistive technology users. The authors propose…

  ARIA · web accessibility · machine learning · widgets · automated testing

• Artificial Intelligence (AI) for Web Accessibility: Is Conformance Evaluation a Way Forward?

  Shadi Abou-Zahra, Judy Brewer, Michael Cooper · 2018 · Proceedings of the 15th International Web for All Conference (W4A 2018)

  This short paper from three W3C/WAI staff members explores the potential and limitations of applying artificial intelligence to improve web accessibility, proposing accessibility conformance evaluation as a strategic pathway to accelerate AI adoption in this domain. The authors…

  artificial intelligence · web accessibility · WCAG · automated testing · machine learning

• Accessify: An ML Powered Application to Provide Accessible Images on Web Sites

  Shivam Singh, Anurag Bhandari, Nishith Pathak · 2018 · Proceedings of the 15th International Web for All Conference (W4A 2018)

  This demonstration paper presents Accessify, a browser plugin that uses machine learning to automatically generate alternative text descriptions for all images on a website, injecting them into the page’s DOM so screen readers can access them. The system addresses the persistent…

  alternative text · image accessibility · machine learning · browser extension · computer vision

• Semantic Content Analysis Supporting Web Accessibility Evaluation

  Carlos Duarte, Inês Matos, Luís Carriço · 2018 · Proceedings of the 15th International Web for All Conference (W4A)

  This paper addresses a fundamental limitation of automated web accessibility evaluation tools: their inability to assess whether text alternatives actually describe the content they refer to. While tools can detect the presence of an alt attribute on an image, they cannot judge…

  automated testing · alternative text · semantic analysis · machine learning · image recognition

• Reliability Aware Web Accessibility Experience Metric

  Shuyi Song, Jiajun Bu, Chengchao Shen, Andreas Artmeier, Zhi Yu, Qin Zhou · 2018 · Proceedings of the 15th International Web for All Conference (W4A)

  This paper introduces RA-WAEM (Reliability Aware Web Accessibility Experience Metric), a novel approach to measuring website accessibility that incorporates actual user experience from people with disabilities while accounting for the varying reliability of different evaluators.…

  accessibility metrics · user experience · accessibility evaluation · machine learning · web accessibility

• Detecting Autism Based on Eye-Tracking Data from Web Searching Tasks

  Victoria Yaneva, Le An Ha, Sukru Eraslan, Yeliz Yesilada, Ruslan Mitkov · 2018 · Proceedings of the 15th International Web for All Conference (W4A)

  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 from 15 adults with clinically…

  autism · eye tracking · machine learning · web accessibility · cognitive accessibility

• Modeling the Speed and Timing of American Sign Language to Generate Realistic Animations

  Sedeeq Al-khazraji, Larwan Berke, Sushant Kafle, Peter Yeung, Matt Huenerfauth · 2018 · Proceedings of the 20th International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS '18)

  This paper addresses the challenge of generating realistic computer animations of American Sign Language (ASL) by automatically modeling three critical timing parameters: where prosodic pauses should be inserted, how long those pauses should last, and how the signing speed of…

  sign language · ASL · animation · machine learning · Deaf accessibility

• MANA: Designing and Validating a User-Centered Mobility Analysis System

  Boyd Anderson, Shenggao Zhu, Ke Yang, Jian Wang, Hugh Anderson, Chao Xu Tay, Vincent Y. F. Tan, Ye Wang · 2018 · Proceedings of the 20th International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS 2018)

  This paper presents MANA (Mobility ANAlytics), a wearable sensor system designed to measure gait parameters in people with Parkinson's Disease (PD) in clinical and home settings. The system addresses a significant gap in accessible health monitoring: existing gait analysis…

  Parkinson's disease · wearable sensors · gait analysis · inertial measurement units · mobility assessment

• Crowd-AI Camera Sensing in the Real World

  Anhong Guo, Anuraag Jain, Shomiron Ghose, Gierad Laput, Chris Harrison, Jeffrey P. Bigham · 2018 · Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies

  This paper presents Zensors++, a hybrid crowd-AI camera sensing system that allows users to point a networked camera at a scene, define a natural language question about it (such as "Is the coffee machine in use?" or "How many people are in the room?"), and receive continuous,…

  crowdsourcing · computer vision · human computation · machine learning · smart environments

• Screening Dyslexia for English Using HCI Measures and Machine Learning

  Luz Rello, Enrique Romero, Maria Rauschenberger, Abdullah Ali, Kristin Williams, Jeffrey P. Bigham, Nancy Cushen White · 2018 · International Conference on Digital Health

  This paper presents a machine learning approach to screening for dyslexia in English speakers by analyzing how users interact with a linguistic computer-based game called Dytective. More than 10% of the population has dyslexia, but most are diagnosed only after failing in…

  dyslexia · machine learning · screening · serious games · early detection

• Modeling Expertise in Assistive Navigation Interfaces for Blind People

  Eshed Ohn-Bar, João Guerreiro, Dragan Ahmetovic, Kris M. Kitani, Chieko Asakawa · 2018 · Proceedings of the 23rd International Conference on Intelligent User Interfaces (IUI)

  This short IUI paper asks a question most assistive-navigation research leaves unasked: what happens as a blind user becomes an expert on a route? Existing smartphone guidance apps deliver the same instruction set on a user's tenth trip down a corridor as on their first,…

  blind navigation · indoor navigation · turn-by-turn navigation · visual impairment · blindness

11 results.