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Designing user interfaces for content simplification aimed at people with cognitive impairments.
Moreno, Lourdes; Petrie, Helen; Martínez, Paloma; Alarcon, Rodrigo.
Afiliación
  • Moreno L; Computer Science Department, Universidad Carlos III de Madrid, Leganés, Spain.
  • Petrie H; Department of Computer Science, University of York, York, United Kingdom.
  • Martínez P; Computer Science Department, Universidad Carlos III de Madrid, Leganés, Spain.
  • Alarcon R; Computer Science Department, Universidad Carlos III de Madrid, Leganés, Spain.
Univers Access Inf Soc ; : 1-19, 2023 Mar 24.
Article en En | MEDLINE | ID: mdl-37361672
ABSTRACT
Cognitive accessibility aims to make content more accessible for people with cognitive impairments, such as the elderly and people with intellectual and learning disabilities. In this sense, it is possible to design an accessible user interface from a cognitive point of view. As a contribution, this article presents cognitive accessibility design patterns and their application in designing the Easier web system's user interface. The Easier web system provides a tool that assists in the understanding and readability of text content geared towards people with intellectual disabilities. It detects complex words and offers easier replacements and other resources such as a definition of the complex word. In addition to applying the design patterns, user tests with people with intellectual disabilities and older people have been carried out to evaluate the cognitive accessibility of the Easier system's interface. The results indicate that people with cognitive impairments know how to use the interfaces and have a satisfactory experience. In addition, a design proposal to provide a glossary mechanism to be used in web interfaces with simplified texts is presented and validated.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Idioma: En Revista: Univers Access Inf Soc Año: 2023 Tipo del documento: Article País de afiliación: España

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Idioma: En Revista: Univers Access Inf Soc Año: 2023 Tipo del documento: Article País de afiliación: España