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Diab Lozano, IsamAuthorSuárez-Figueroa McCorresponding AuthorRuckhaus EAuthorFirst steps in the development of a support application for easy-to-read adaptation
Publicated to:Universal Access In The Information Society. 23 (1): 365-377 - 2024-01-01 23(1), DOI: 10.1007/s10209-022-00946-z
Authors: Suárez-Figueroa MC; Diab I; Ruckhaus E; Cano I
Affiliations
Abstract
The application of the easy-to-read (E2R) methodology is one of the ways to achieve cognitive accessibility and specifically, it is a path that guarantees the right of access to information of people with reading comprehension difficulties and thus improves their daily life. This methodology includes a set of guidelines and recommendations whose goal is to present clear and easily understood documents. Such guidelines are used in the manual processes of (a) adapting existing documents and (b) producing new materials. These processes are very time and human-resource consuming, due to the need of involving E2R experts as well as people with cognitive disabilities. In order to alleviate such manual processes, we are currently investigating the development of methods, based on Artificial Intelligence (AI) techniques, to support the E2R adaptation of documents in a (semi)-automatic fashion. The main goal of this research is to help E2R experts in their daily tasks of (a) assessing a particular document with respect to the E2R guidelines and (b) transforming such a document according to the E2R methodology. In this paper we present our initial efforts toward the development of an AI-based application for supporting the E2R adaptation of documents. These efforts are the elicitation of E2R needs and informal requirements and the design of an application called FACILE.
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Quality index
Bibliometric impact. Analysis of the contribution and dissemination channel
The work has been published in the journal Universal Access In The Information Society due to its progression and the good impact it has achieved in recent years, according to the agency Scopus (SJR), it has become a reference in its field. In the year of publication of the work, 2024 there are still no calculated indicators, but in 2023, it was in position , thus managing to position itself as a Q2 (Segundo Cuartil), in the category Information Systems. Notably, the journal is positioned en el Cuartil Q3 for the agency WoS (JCR) in the category Computer Science, Cybernetics.
From a relative perspective, and based on the normalized impact indicator calculated from the Field Citation Ratio (FCR) of the Dimensions source, it yields a value of: 3.45, which indicates that, compared to works in the same discipline and in the same year of publication, it ranks as a work cited above average. (source consulted: Dimensions Jul 2025)
Specifically, and according to different indexing agencies, this work has accumulated citations as of 2025-07-16, the following number of citations:
- Scopus: 8
- Google Scholar: 6
Impact and social visibility
Leadership analysis of institutional authors
There is a significant leadership presence as some of the institution’s authors appear as the first or last signer, detailed as follows: First Author (SUAREZ DE FIGUEROA BAONZA, M. CARMEN) .
the author responsible for correspondence tasks has been SUAREZ DE FIGUEROA BAONZA, M. CARMEN.