Project

Reading the Reader

Per Bækgaard – Associate Professor, Department of Applied Mathematics and Computer Science (DTU-Compute), DTU

Grant amount: DKK 7,893,196

Impairment or loss of vision affect more than 400 million people globally and can lead to social and professional exclusion, as well as a large economic productivity loss. This project aims to improve the reading abilities of visually impaired people by using advanced AI methods (deep learning) to analyse the reader’s individual reading patterns and challenges. Data will be recorded from eye trackers and other biometrical sensors and the patterns learned by the AI will be used to dynamically adjust the font size, height, width, type, spacing, etc. to help the reader optimize the reading experience and outcome (e.g., reading speed). Additional outcomes of the project may be improved diagnosis of reading disabilities, monitoring of long-term progression in reading ability as well as personalized coping strategies for the visually impaired.

Read more about Sofie Beier here: https://kglakademi.dk/nyheder/ny-bevilling-skal-hjaelpe-millioner-af-mennesker-til-bedre-laeseoplevelse (in Danish)