Human-Centred Computing

The work on Human-centred Computing in our unit advances research on fair and inclusive AI systems that adapt to diverse user needs rather than requiring users to adapt to technology. Our research aims to answer three key questions: 1. How can we build online information systems that better serve users, whose interests are not in the mainstream? 2. How can we gain a deeper understanding of users and the interplay between user needs and user behavior, 3. What are the factors that impact the amplification of polarization and biases online and how can we design intelligent systems that alleviate such phenomena? By integrating psychological and sociological models, we develop human-centered systems that ensure equitable access to information, learning resources, and societal participation for people with disabilities or special needs.

Involved researchers: Elisabeth Lex