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• A Computer Anxiety Model for Elderly Users Interacting with the Web

  Thiago Donizetti dos Santos, Vagner Figueredo de Santana · 2019 · Proceedings of the 16th International Web for All Conference (W4A)

  This paper presents a model for automatically detecting Computer Anxiety (CA) levels in older adults through analysis of their interaction logs while browsing the web. Computer Anxiety — defined as negative emotions and cognition processes evoked during actual or imagined…

  computer anxiety · older adults · aging · interaction logging · machine learning

• Automatic Identification of Widgets and their Subcomponents Based on a Classification Pipeline for DOM Mutation Records

  Eduardo Henrique Rizo, Renata Pontin de Mattos Fortes, Humberto Lidio Antonelli, Willian Massami Watanabe · 2019 · Proceedings of the 16th International Web for All Conference (W4A)

  This paper presents a machine learning pipeline for automatically classifying web widgets (specifically dropdown menus) and their subcomponents by analyzing DOM mutation records — the dynamic changes that occur in a web page's HTML structure when users interact with it or visual…

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

• Revisiting Blind Photography in the Context of Teachable Object Recognizers

  Kyungjun Lee, Jonggi Hong, Simone Pimento, Ebrima Jarjue, Hernisa Kacorri · 2019 · Proceedings of the 21st International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS)

  This paper introduces a real-time audio-haptic feedback system to help people with visual impairments frame objects in their smartphone camera when training teachable object recognizers. The challenge is that teachable recognizers — which let users train personalized models to…

  blind photography · teachable object recognizer · computer vision · deep learning · visual impairment

• Deep Learning for Automatically Detecting Sidewalk Accessibility Problems Using Streetscape Imagery

  Galen Weld, Esther Jang, Anthony Li, Aileen Zeng, Kurtis Heimerl, Jon E. Froehlich · 2019 · Proceedings of the 21st International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS 2019)

  This paper presents the first application of deep learning to automatically assess sidewalk accessibility from Google Street View (GSV) panoramas, addressing four types of accessibility problems: curb ramps, missing curb ramps, sidewalk obstructions, and surface problems.…

  computer vision · deep learning · sidewalk accessibility · curb ramps · crowdsourcing

• An Intelligent Decision Support System for Stroke Rehabilitation Assessment

  Min Hun Lee · 2019 · Proceedings of the 21st International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS 2019)

  This student research abstract presents an interactive multimodal machine learning approach for automatically assessing upper-limb stroke rehabilitation exercises and supporting therapist decision-making. Physical rehabilitation is critical for people recovering from stroke to…

  stroke rehabilitation · machine learning · human-AI interaction · decision support · motor disability

• App Usage Predicts Cognitive Ability in Older Adults

  Mitchell L. Gordon, Leon Gatys, Carlos Guestrin, Jeffrey P. Bigham, Andrew Trister, Kayur Patel · 2019 · CHI Conference on Human Factors in Computing Systems

  This paper investigates how older adults use smartphones differently from younger adults and whether those differences can be explained by cognitive function. The researchers collected three months of iPhone usage data from 84 healthy older adults (aged 61-76), logging 494,641…

  older adults · cognitive decline · smartphone usage · mobile accessibility · digital biomarkers

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