Auditor: a webpage accessibility validator for people with autism spectrum disorders

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dc.contributor.advisor Lucchese, Claudio it_IT
dc.contributor.author Rossi, Margherita <1992> it_IT
dc.date.accessioned 2019-07-05 it_IT
dc.date.accessioned 2019-11-20T07:10:14Z
dc.date.available 2019-11-20T07:10:14Z
dc.date.issued 2019-07-10 it_IT
dc.identifier.uri http://hdl.handle.net/10579/15521
dc.description.abstract During the last years some standards have been established in order to make the Web accessible for anyone. Following these guidelines, different webpages validators have been developed, to help Web programmers and users understanding if a page is accessible by people with disabilities. Many disabilities have been considered, e.g., auditory, cognitive, neurological, physical, speech, and visual disabilities, and we can find many validators around the Web, but there is no specific validator for people with autism spectrum disorders (ASD). The problem of ASD is that it involves different types of difficulties, e.g., in text and images understanding, as well as problems looking at animated objects or listening to specific sounds, etc., it is thus difficult to develop a general validator. Presently, there are many theoretical guidelines for the development of websites for people with ASD, but no specific validator exists. Following the existing guidelines we have developed a validator which can be used by users to understand if a page is accessible for people with ASD. Moreover, it indicates to website developers which are the critical issues that make the website non-accessible. it_IT
dc.language.iso en it_IT
dc.publisher Università Ca' Foscari Venezia it_IT
dc.rights © Margherita Rossi, 2019 it_IT
dc.title Auditor: a webpage accessibility validator for people with autism spectrum disorders it_IT
dc.title.alternative Auditor: a webpage accessibility validator for people with autism spectrum disorders it_IT
dc.type Master's Degree Thesis it_IT
dc.degree.name Informatica - computer science it_IT
dc.degree.level Laurea magistrale it_IT
dc.degree.grantor Dipartimento di Scienze Ambientali, Informatica e Statistica it_IT
dc.description.academicyear 2018/2019_sessione_estiva it_IT
dc.rights.accessrights openAccess it_IT
dc.thesis.matricno 842790 it_IT
dc.subject.miur INF/01 INFORMATICA it_IT
dc.description.note it_IT
dc.degree.discipline it_IT
dc.contributor.co-advisor it_IT
dc.date.embargoend it_IT
dc.provenance.upload Margherita Rossi (842790@stud.unive.it), 2019-07-05 it_IT
dc.provenance.plagiarycheck Claudio Lucchese (claudio.lucchese@unive.it), 2019-07-08 it_IT


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