Fuzzy Model of Dyslexic Users Built with Linguistic Pattern Categories
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F17%3A00096320" target="_blank" >RIV/00216224:14330/17:00096320 - isvavai.cz</a>
Výsledek na webu
<a href="http://www.cicling.org/2017/" target="_blank" >http://www.cicling.org/2017/</a>
DOI - Digital Object Identifier
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Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Fuzzy Model of Dyslexic Users Built with Linguistic Pattern Categories
Popis výsledku v původním jazyce
Dyslexia is a neurobiological cognitive disorder and may be ideal for (neuro) fuzzy approaches for many reasons. Dyslexic users share general problems, but also indi-vidual ones. Additionally, the problems encountered by dyslexic users may diverge over time due to brain plasticity. Therefore, it can be very hard to define the actual needs of dyslexic users and to establish ways of overcoming their reading problems, rather than just avoiding them. Our proposal regarding this is a fuzzy approach that can assist the design of dyslexic user models. To do this we obtain information from individual tests that are a part of the DystexiA web service for dyslexic users.
Název v anglickém jazyce
Fuzzy Model of Dyslexic Users Built with Linguistic Pattern Categories
Popis výsledku anglicky
Dyslexia is a neurobiological cognitive disorder and may be ideal for (neuro) fuzzy approaches for many reasons. Dyslexic users share general problems, but also indi-vidual ones. Additionally, the problems encountered by dyslexic users may diverge over time due to brain plasticity. Therefore, it can be very hard to define the actual needs of dyslexic users and to establish ways of overcoming their reading problems, rather than just avoiding them. Our proposal regarding this is a fuzzy approach that can assist the design of dyslexic user models. To do this we obtain information from individual tests that are a part of the DystexiA web service for dyslexic users.
Klasifikace
Druh
O - Ostatní výsledky
CEP obor
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OECD FORD obor
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Návaznosti výsledku
Projekt
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Návaznosti
S - Specificky vyzkum na vysokych skolach
Ostatní
Rok uplatnění
2017
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů