Modeling and Improving the Acquisition of Written Language for People with Dyslexia

• Research unit: INNOSUISSE
• Project number: 8970.1;3 PFES-ES

Short description (German)

Modeling and Improving the Acquisition of Written Language for People with Dyslexia

Short description (English)

Modeling and Improving the Acquisition of Written Language for People with Dyslexia

Abstract (German)

This CTI project between ETH Zurich and Dybuster AG will investigate and develop a new generation of multimedia, computer-based training concepts for people with dyslexia. The resulting software will make the acquisition of written language and correct orthographic writing significantly more effective and will provide a new opportunity to overcome the social disadvantages associated with dyslexia. Scientifically, we willl investigate novel information-theoretic models for dyslexia including learning, memorizing and aging of acquired orthography. Our research will draw upon previously developed models whose effectiveness was proven experimentally in a user study in 2006. A substantial part of the technological development will be devoted to an ASP online model to distribute and maintain the software as well as to phoneme-grapheme mappings. All results will be integrated into the Dybuster learning software and will eventually result in a new product release.

Abstract (English)

This CTI project between ETH Zurich and Dybuster AG will investigate and develop a new generation of multimedia, computer-based training concepts for people with dyslexia. The resulting software will make the acquisition of written language and correct orthographic writing significantly more effective and will provide a new opportunity to overcome the social disadvantages associated with dyslexia. Scientifically, we willl investigate novel information-theoretic models for dyslexia including learning, memorizing and aging of acquired orthography. Our research will draw upon previously developed models whose effectiveness was proven experimentally in a user study in 2006. A substantial part of the technological development will be devoted to an ASP online model to distribute and maintain the software as well as to phoneme-grapheme mappings. All results will be integrated into the Dybuster learning software and will eventually result in a new product release.