Show simple item record

dc.contributor.authorYaneva, Victoria
dc.date.accessioned2020-08-28T15:15:50Z
dc.date.available2020-08-28T15:15:50Z
dc.date.issued2018-08-02
dc.identifier.citationYaneva, V. (2018) Autism and the web: using web-searching tasks to detect autism and improve web accessibility, ACM SIGACCESS Accessibility and Computing, 121.en
dc.identifier.issn1558-2337en
dc.identifier.doi10.1145/3264631.3264633en
dc.identifier.urihttp://hdl.handle.net/2436/623548
dc.descriptionThis is an accepted manuscript of an article published by ACM in ACM SIGACCESS Accessibility and Computing on 02/08/2018, available online: https://doi.org/10.1145/3264631.3264633 The accepted version of the publication may differ from the final published version.en
dc.description.abstractPeople with autism consistently exhibit different attention-shifting patterns compared to neurotypical people. Research has shown that these differences can be successfully captured using eye tracking. In this paper, we summarise our recent research on using gaze data from web-related tasks to address two problems: improving web accessibility for people with autism and detecting autism automatically. We first examine the way a group of participants with autism and a control group process the visual information from web pages and provide empirical evidence of different visual searching strategies. We then use these differences in visual attention, to train a machine learning classifier which can successfully use the gaze data to distinguish between the two groups with an accuracy of 0.75. At the end of this paper we review the way forward to improving web accessibility and automatic autism detection, as well as the practical implications and alternatives for using eye tracking in these research areas.en
dc.formatapplication/pdfen
dc.languageen
dc.language.isoenen
dc.publisherAssociation for Computing Machinery (ACM)en
dc.relation.urlhttps://dl.acm.org/doi/10.1145/3264631.3264633en
dc.titleAutism and the web: using web-searching tasks to detect autism and improve web accessibilityen
dc.typeJournal articleen
dc.identifier.eissn1558-1187
dc.identifier.journalACM SIGACCESS Accessibility and Computingen
dc.date.updated2020-07-30T16:55:20Z
dc.date.accepted2018-07-01
rioxxterms.funderUniversity of Wolverhamptonen
rioxxterms.identifier.projectUOW28082020VYen
rioxxterms.versionAMen
rioxxterms.licenseref.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/en
rioxxterms.licenseref.startdate2020-08-28en
dc.source.issue121
dc.source.beginpage1
dc.source.endpage1
dc.description.versionPublished version
refterms.dateFCD2020-08-28T15:12:12Z
refterms.versionFCDAM
refterms.dateFOA2020-08-28T15:15:51Z


Files in this item

Thumbnail
Name:
Yaneva_Newsletter_Paper_2018.pdf
Size:
473.2Kb
Format:
PDF

This item appears in the following Collection(s)

Show simple item record

https://creativecommons.org/licenses/by-nc-nd/4.0/
Except where otherwise noted, this item's license is described as https://creativecommons.org/licenses/by-nc-nd/4.0/