Automated Adaptations for Improving the Accessibility of Public E-Services Based on Annotations - Human-Computer Interaction – INTERACT 2021
Conference Papers Year : 2021

Automated Adaptations for Improving the Accessibility of Public E-Services Based on Annotations

Abstract

The COVID-19 pandemic has changed the way we interact with public administration, making indispensable the use of online public services (e-services) to perform required administration procedures. All citizens should be able to interact with public e-services in an autonomous, satisfactory and easy way. However, these services are not always accessible to people with disabilities. In this paper, we present a descriptive model for e-services adaptation based on ontologies, which contains the e-service annotations, user features and techniques required for adapting e-services to the needs of people with disabilities. Based on this model, an automated adaptation system was developed and adapted versions of three different Spanish public e-services aiming at users with low vision were obtained as a proof of concept.
Fichier principal
Vignette du fichier
520518_1_En_22_Chapter.pdf (1.52 Mo) Télécharger le fichier
Origin Files produced by the author(s)

Dates and versions

hal-04215494 , version 1 (22-09-2023)

Licence

Identifiers

Cite

J. Eduardo Pérez, Sandra M. Espín-Tello, Aritz Sala, Myriam Arrue. Automated Adaptations for Improving the Accessibility of Public E-Services Based on Annotations. 18th IFIP Conference on Human-Computer Interaction (INTERACT), Aug 2021, Bari, Italy. pp.373-382, ⟨10.1007/978-3-030-85610-6_22⟩. ⟨hal-04215494⟩
25 View
27 Download

Altmetric

Share

More