AI Approach to Low Literacy
In a series of ongoing projects within the Goallab, we develop AI technologies to support people with low literacy in navigating complex texts and digital communication. Using portable eye-tracking devices, we study how stress, motivation, and engagement influence reading behaviour. These insights allow us to create adaptive AI tools that respond to users’ needs in real time, making health information more accessible and equitable. This work is part of the ELSA Lab AI Approach to Low-Literacy and the Open Living Lab AI for Health Equity, where we collaborate with patients, advocacy groups, and AI developers to design ethically responsible and inclusive healthcare solutions.
Involved researchers
- I am a professor in Psychology, interested in human habits, goals, and autonomy. I am involved in several projects studying basic and applied questions, such as intentionality, Human-AI interactions and health
- I am a visiting assistant professor from the Computer Science department. I am interested in using machine learning techniques for researching human text understanding, speech classification, and physiological responses
- I am an assistant professor in psychology, focusing on social cognition and human-AI interaction. In the Goallab, I work on projects about literacy, autonomy, and inclusive AI in healthcare
Collaboration partners
Funding
This project is funded by .