At the Human Quotient Lab, we build effective and inclusive methods, tools, interfaces, and systems to tackle problems of societal importance. Our work lies at the intersection of artificial intelligence (AI), human-computer interaction (HCI), and information retrieval (IR), and spans different domains such as health and wellbeing, the future of work, finance, and education.

Our approach often entails tapping into the ‘human quotient’ to build better AI systems in one of the following ways:

• Considering the computational role of humans for building data-driven AI systems, i.e., using human input to improve AI technologies. One can think of this as AI augmented or supported by humans.

• Considering the interactional role of humans with AI systems, i.e., studying and learning from human interactions with AI systems to better understand how to design, build, and deploy such systems iteratively. One can think of this as AI that assists or supports humans.

Our team comprises of brilliant postdoctoral researchers, excellent PhD candidates with different academic backgrounds, external collaborators, and talented master students following one of the Computer Science tracks at TU Delft. Meet the team that keeps the lab ticking!