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dc.contributor.advisorKrogstie, John
dc.contributor.authorJohansen, Thea Hove
dc.contributor.authorKirkerød, Maja
dc.date.accessioned2017-09-11T14:00:28Z
dc.date.available2017-09-11T14:00:28Z
dc.date.created2017-06-01
dc.date.issued2017
dc.identifierntnudaim:16673
dc.identifier.urihttp://hdl.handle.net/11250/2454100
dc.description.abstractDyslexia is a disability that has accumulated more and more attention over the latest years. Being able to detect dyslexia early on is vital for decreasing the negative effects dyslexia has on people diagnosed with this disability. This master's thesis deals with creating a graphical user interface of an existing application meant to be used as a screening tool in the process of detecting dyslexia. This is done by identifying a target user group, creating and testing prototypes, and implementing a finished design. The result of this process has been an application with a fully functional graphical user interface (GUI). The GUI has a System Usability Scale (SUS) score of 92.7, and increased usability compared to the original application. This master's thesis has provided this application with a user interface that allows anyone with basic reading skills to test themselves for a risk of having dyslexia. Hopefully, when this application is deployed, the average age of dyslexia detection will be lowered significantly, with the help of our user interface design.
dc.languageeng
dc.publisherNTNU
dc.subjectDatateknologi, Interaksjonsdesign og spillteknologi
dc.titleMagno: An Application for Detection of Dyslexia - Dyslexia and Interface Design
dc.typeMaster thesis


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