Estudo comparativo da experiência de usuários cegos e videntes no design Web responsivo e não responsivo
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Data
2015-11-18
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Universidade Federal de Goiás
Resumo
Accessing information on the web is still a challenge for people who have some kind of
visual impairment. Researches report that only applying the Web Content Accessibility
Guidelines is insufficient; there is a need for more judicious investigation about the user
experience in accessible applications. With emergence the of new trends in web design,
including responsive design and flat design, it is imperative to investigate the impacts of
these new forms of information transmission on the Web. This study aims to identify,
classify and compare the differences and similarities of the user experience in Responsive
Design with flat and minimalist elements, considering blind and sighted users, correlating
emotional impact, usability and performance. Therefore, a case study was conducted,
adopting an exploratory approach using the Affect Grid and PANAS methods. The data
extraction were made by the Usability and UX questionnaires. Indicators were used
for the analysis qualitative and quantitative, which help in understanding the pragmatic
phenomena of UX. The results show that in blind users, the average of disorder in
responsive websites, increases 20% (twenty percent) when compared to unresponsive.
The sighted users, the average irritation, shame, determination and dynamism are higher
in responsive websites when compared to unresponsive. Thus, responsive Websites had
a median time of completion of the tasks significantly higher than the unresponsive. We
conclude that in all subgroups which have been compared by this approach, blind users
had significantly lower average value in the range of pleasure in responsive websites when
compared to sighted users, making the UX of the blind users worse in responsiveWebsites
compared to unresponsive.
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NOGUEIRA, T. C. Estudo comparativo da experiência de usuários cegos e videntes no design Web responsivo e não responsivo. 2015. 131 f. Dissertação (Mestrado em Ciência da Computação) - Universidade Federal de Goiás, Goiânia, 2015.