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Glossary

Terms used in accessibility research and practice. Each entry has a definition, common aliases, and category tags.

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Ability Model(also: Ability-Based User Model)
A representation of a user that focuses on what they can do rather than demographic characteristics or disability categories. Unlike traditional user models that capture preferences, background, or impairment labels, ability models document the specific abilities a user has for…
Accessibility First(also: Shift Left Accessibility, Built-In Accessibility)
A design and pedagogical philosophy that treats accessibility as a foundational requirement from the very beginning of a project or course of study, rather than addressing it as an advanced topic or retrofit at the end. The term draws an analogy to building construction:…
Accessibility Retrofitting(also: Retrofitting, Accessibility Remediation)
The process of modifying existing products, websites, buildings, or systems after the fact to make them accessible to people with disabilities. Retrofitting is typically more expensive, time-consuming, and less elegant than designing for accessibility from the start, often…
Age-Sensitive Design(also: Age-Sensitive Creative AI Mediation)
A design stance that treats age-related physical, cognitive, and digital-literacy characteristics as first-class inputs to the system design process rather than as edge cases to be handled after the fact. For interactive and AI-supported tools, age-sensitive design typically…
Assets-Based Design(also: Strengths-Based Design, Asset-Based Approach)
A design philosophy that focuses on the existing strengths, capabilities, resources, and strategies of users rather than defining them primarily by their deficits or limitations. In accessibility and aging contexts, assets-based design means building technology that integrates…
Assistive Technology Abandonment(also: AT Abandonment, Technology Discontinuance)
The phenomenon of users with disabilities ceasing to use an assistive technology device or system after initial adoption. Research identifies several predictors of abandonment, including failure to consider user opinions during design, lack of training, poor device performance,…

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