A Mobile Application for Displaying More Accessible eBooks for People with Dyslexia

Rello, Luz; Kanvinde, Gaurang; Baeza-Yates, Ricardo

doi:10.1016/j.procs.2012.10.026

Cited by 30 publications

(21 citation statements)

References 13 publications

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“…Based on the research work of Schavio and Buson (2014) and Rello, Kanvinde, and Baeza-Yates (2012a), a list of typographic variables associated with people who read with difficulty was created: (a) typeface, (b) type size, leading, and tracking, (c) line length, (d) colour scheme, (e) text alignment, and (f) text navigation method.…”

Section: Typographic Variablesmentioning

confidence: 99%

Impact of digital text variables on legibility for persons with dyslexia

et al. 2019

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In a world with different readers with varying needs, the idea that readers might be given the option of text formatting their own text in advance seems very appealing. In this research, differences between reading speed, reading comprehension, and reading comfort were compared with the pre-set and self-set texts. The respondents read paragraphs and identified illogical words contained therein, while reading two comparable blocks of self-set and pre-set texts. The differences in the number of paragraphs read and the mistakes made in a limited timeframe were compared using a web test that was based on the Tinker's test. The results showed that the respondents encounter different difficulties while reading digital text. We statistically proved that people with dyslexia chose larger type sizes more frequently than people without dyslexia, whereas no such statistically significant trend was observed for all other variables (typeface, tracking, and leading). We did not observe any significant differences between the reading speed associated with pre-set and self-set texts; however, the reading speed was higher in the group of people without dyslexia. A significant difference was observed in reading comprehension, because reading comprehension was better in the case of self-set text used.

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Section: Typographic Variablesmentioning

confidence: 99%

Impact of digital text variables on legibility for persons with dyslexia

et al. 2019

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“…It facilitates the researchers' observation process. In another experimental study by Rello et al (2012), an eye tracker (Tobii T50) was used for recordings when the participant read in silence the passages. The eye tracking data was then analyzed using Tobii Studio and the R 2.14.1 statistical software.…”

Section: Eye-tracking Technologiesmentioning

confidence: 99%

“…Fifteen out of twenty-five studies (Abdullah et al, 2009;Al-Edaily et al, 2013;Arendal & Brandt, 2005;Chiang & Liu, 2011;Diraa et al, 2009;Hornickel, 2012;Khakhar & Madhvanath, 2010;Malekian & Askari, 2013;Moe & Wright, 2013;Ndombo et al, 2013;Rekha et al, 2013;Rello & Baeza-Yates, 2014;Rello et al, 2012;Schiavo & Buson, 2014;Tzouveli et al, 2008) indicate that the use of assistive technologies to improve reading among learners with dyslexia. It is noticeable that reading can be improved either directly or indirectly.…”

Section: Readingmentioning

confidence: 99%

A Research Review: How Technology Helps to Improve the Learning Process of Learners with Dyslexia

Jing¹,

Chen²

2017

JCSHD

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Dyslexia is a language disorder that leads to difficulty with words and it is the most common type of learning disability. This article presents a systematic review on the current state of assistive technologies used in improving the learning process of learners with dyslexia. A total of 25 journals articles and international conference papers published between 2000 and 2014 were included in the review. The research articles were collected from 12 databases and analyzed based on the qualitative cyclical process. A majority of the studies focused on children and adolescents. Four main themes on the types of technologies used in aiding the learning process of learners with dyslexia are derived and discussed. These include text-to-speech, eye-tracking, virtual learning environments, and games. The text-to-speech technology is the most common type of technology used by learners with dyslexia. In terms of the roles played by the assistive technologies, another four emerging themes are identified, which cover the roles of aiding reading, writing, memory, and mathematics. The review also discovers that a majority of these studies focus on the use of technologies for improving the reading ability of learners with dyslexia. Keywords: Assistive technology; Dyslexia; Research review; Learning

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“…Stakeholders must evaluate the prototype iteratively. To design the app appropriately, it is necessary to consider look and feel empirical guidelines taken from (Rello et al, 2012).…”

Section: App Designmentioning

confidence: 99%

Accessible Mobile Application to Support Self Testing for Anticoagulated Patients using a Personal Health Record - Appliying Good Practices

Casado-Rivas

López

Fernández

et al. 2014

Proceedings of the International Conference on Health Informatics

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Full adoption of Information Technologies in the healthcare domain is a reality. New paradigms as mobile computing can support a big amount of healthcare needs. The aim of this research work is to present the application of good practices in the design of healthcare information technology following a methodological approach for apps in mobile environments involving fictitious users based on knowledge of real users in the app design. Real users' needs have been extracted from empirical researches, guidelines and standards, favoring an outstanding role to users. In order to illustrate the approach and provide a resource to designers, a case study showing how to obtain an accessible design is introduced. The mobile app considered supports a Personal Health Record and self testing for anticoagulated patients who are often elderly. The access characteristics of the elderly and their possible disabilities are essential aspects to keep in mind in the design of a mobile user interface. To address users' needs on the healthcare mobile applications it has been concluded that the requirement elicitation must take into account functional requirements concerning aspects that characterize a disease, and accessibility requirements related to special needs of patients suffering a disease.

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A Mobile Application for Displaying More Accessible eBooks for People with Dyslexia

Cited by 30 publications

References 13 publications

Impact of digital text variables on legibility for persons with dyslexia

Impact of digital text variables on legibility for persons with dyslexia

A Research Review: How Technology Helps to Improve the Learning Process of Learners with Dyslexia

Accessible Mobile Application to Support Self Testing for Anticoagulated Patients using a Personal Health Record - Appliying Good Practices

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