Yera A., Perona I., Arbelaitz O., Muguerza J., Pérez J. E., Valencia X.
2021 - Human-centric Computing and Information Sciences Vol. 11
Artículo en revista
- Línea investigación:
- Accesibilidad a la Web
- Autores (p.o. de firma):
- Yera A., Perona I., Arbelaitz O., Muguerza J., Pérez J. E., Valencia X.
- Descripción:
The current importance of digital competence makes it essential to enable people with disabilities to use digital devices and applications and to automatically adapt site interactions to their needs. Although most of the current adaptable solutions make use of predefined user profiles, automatic detection of user abilities and disabilities is the foundation for building adaptive systems.This work contributes to diminishing the digital divide for people with disabilities by detecting the web navigation problems of users with physical disabilities based on a two-step strategy. The system is based on web user interaction data collected by the RemoTest platform and a complete data mining process applied to the data. First, the device used for interaction is recognized, and then, the problems the user may be having while interacting with the computer are detected. Identification of the device being used and the problems being encountered will allow the most adequate adaptation to be deployed and thus make the navigation more accessible.
- Editorial:
- KIPS-CSWRG
- Año publicación:
- 2021
- Página inicio:
- 1
- Página fin:
- 16
- ISBN - ISSN:
- 2192-1962
- URL fichero:
- https://doi.org/10.22967/HCIS.2021.11.017
- Indicadores calidad:
- La revista HCIS ha tenido en 2020 un factor de impacto de 5,90 en ISI/JCR Science Edition, ocupando el puesto 25 de 161 revistas (Q1) en la categoría Computer Science, Information Systems. Asimismo, figura en la posición 45 de 280 revistas (Q1) en la categoría Computer Science (miscellaneous) de la clasificación SJR de Elsevier de 2020, con un factor de impacto de 0,776.
- Nombre publicación:
- Human-centric Computing and Information Sciences Vol. 11
- Volumen:
- 11