sami iyengar

To address challenges faced by neurodivergent users in digital reading environments, my team and I designed a prototype for a browser-based study assistant tool that aims to reduce cognitive overload and improve reading comprehension. Through user research with individuals who identify as neurodivergent (including ADHD, dyslexia, and sensory processing disorders), we identified recurring frustrations with conventional reading tools, like overwhelming wall-of-text layouts, distracting page elements, and a lack of customization options. Our solution allows users to input any online text and receive a reformatted, accessible version tailored to their sensory needs, including adjustable font settings, spacing options, and features like text chunking, highlighting, and auditory playback of highlighted sections. We also incorporated background music options like white noise or classical music to help users sustain attention.

Grounded in accessibility principles and supported by a thematic analysis of our interview responses, the design prioritizes simplicity and user agency. Instead of applying one-size-fits-all algorithms, the tool gives users control over how they process content, offering both manual and optional automated features. The tool is designed as a lightweight browser extension or web app, inspired by open-source accessibility efforts, with a strong ethical stance against exploitative data practices. Our prototype offers an empathetic, flexible alternative to traditional screen readers or productivity tools, reflecting a more inclusive understanding of how neurodivergent users engage with digital information.