Accessible Texts for Autism: An Eye-Tracking Study

2.50
Hdl Handle:
http://hdl.handle.net/2436/609866
Title:
Accessible Texts for Autism: An Eye-Tracking Study
Authors:
Yaneva, Victoria; Temnikova, Irina; Mitkov, Ruslan Prof.
Abstract:
Images are widely used in automatic text simplification systems, Picture Exchange Communication Systems (PECS) and human-produced easy-read documents, in order to make text more accessible for people with various types of disabilities, including Autism Spectrum Disorder (ASD). People with ASD are known to experience difficulties in reading comprehension, as well as to have unusual attention patterns, which makes the development of user-centred tools for this population a challenging task. This paper presents the first study to use eye-tracking technology with ASD participants in order to evaluate text documents. Its aim is two-fold. First, it evaluates the use of images in texts and provides evidence of a significant difference in the attention patterns of participants with and without autism, with the autistic participants focusing on images more than the non-autistic ones. Sets of two types of images, photographs and symbols, are compared to establish which ones are more useful to include in simple documents. Second, the study evaluates human-produced easy-read documents, as a gold standard for accessible documents, on 20 adults with autism. The results provide an understanding of the perceived level of difficulty of easy-read documents according to this population, as well as the preferences of autistic individuals in text presentation. The results are synthesized as set of guidelines for creating accessible text for autism.
Publisher:
Association of Computing Machinery
Journal:
ASSETS '15: Proceedings of the 17th International ACM SIGACCESS Conference on Computers & Accessibility
Issue Date:
19-May-2016
URI:
http://hdl.handle.net/2436/609866
Type:
Other
Language:
en
Sponsors:
University of Wolverhampton
Appears in Collections:
FOSS

Full metadata record

DC FieldValue Language
dc.contributor.authorYaneva, Victoriaen
dc.contributor.authorTemnikova, Irinaen
dc.contributor.authorMitkov, Ruslan Prof.en
dc.date.accessioned2016-05-19T12:02:52Zen
dc.date.available2016-05-19T12:02:52Zen
dc.date.issued2016-05-19en
dc.identifier.urihttp://hdl.handle.net/2436/609866en
dc.description.abstractImages are widely used in automatic text simplification systems, Picture Exchange Communication Systems (PECS) and human-produced easy-read documents, in order to make text more accessible for people with various types of disabilities, including Autism Spectrum Disorder (ASD). People with ASD are known to experience difficulties in reading comprehension, as well as to have unusual attention patterns, which makes the development of user-centred tools for this population a challenging task. This paper presents the first study to use eye-tracking technology with ASD participants in order to evaluate text documents. Its aim is two-fold. First, it evaluates the use of images in texts and provides evidence of a significant difference in the attention patterns of participants with and without autism, with the autistic participants focusing on images more than the non-autistic ones. Sets of two types of images, photographs and symbols, are compared to establish which ones are more useful to include in simple documents. Second, the study evaluates human-produced easy-read documents, as a gold standard for accessible documents, on 20 adults with autism. The results provide an understanding of the perceived level of difficulty of easy-read documents according to this population, as well as the preferences of autistic individuals in text presentation. The results are synthesized as set of guidelines for creating accessible text for autism.en
dc.description.sponsorshipUniversity of Wolverhamptonen
dc.language.isoenen
dc.publisherAssociation of Computing Machineryen
dc.subjectAutismen
dc.subjectReadabilityen
dc.subjectReading Comprehensionen
dc.subjectText Simplifi cationen
dc.subjectEasy-Readen
dc.subjectEye Trackingen
dc.titleAccessible Texts for Autism: An Eye-Tracking Studyen
dc.typeOtheren
dc.identifier.journalASSETS '15: Proceedings of the 17th International ACM SIGACCESS Conference on Computers & Accessibilityen
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