Universal Reading: Digital Reading Experience Enhancement for People with Dyslexia

Master thesis (2024)

Authors

X. Yu Industrial Design Engineering

Contributors

J.S. Love Human-Centred Artificial Intelligence - IDE (mentor)
C. Schneegass Human Information Communication Design - IDE (graduation committee member)
Faculty
Industrial Design Engineering
More Info
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Published Date

07-08-2024

Language

English

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Faculty

Industrial Design Engineering

Abstract

This report outlines the design of an interactive reading assistance system aimed at enhancing reading efficiency and experience for individuals with dyslexia.
The design process is divided into four phases: Discover, Define, Develop, and Deliver.
The Discover phase includes literature and technical research. To achieve the design goal, eye-tracking technology combined with AI generation was identified as an ideal combination for intuitive information exchange and analysis during the research.
After finishing the design definition, the research involved a comprehensive iterative design process, incorporating insights from functional tests, user interviews, an expert interview, and a technical focus group. A notable innovation is the use of reading data from eye movements, integrated with AI to provide real-time personalized reading assistance.The powerful capabilities of AI bring unlimited possibilities for the system's flexibility. To this end, a comprehensive strategic roadmap and system map were also designed to ensure the feasibility of the project.
Despite its innovative approach, the project faced challenges, including workload constraints and technical hurdles, which affected the thoroughness of verification and validation. These limitations highlight areas for further development and refinement. By addressing the challenges, this project has the potential to influence broader accessibility practices in digital reading.