Markel Vigo

Markel Vigo is a Reader in Health Informatics and Human Computer Systems at The University of Manchester, Department of Computer Science. His research focuses on usable decision-making in data-intensive environments, such as physical activity tracking and interactive dashboards. He employs mixed methods to study human behavior when interacting with these systems, leveraging human-centred methodologies to isolate behavioral patterns. These patterns inform computational user models of usability, engagement, and knowledge acquisition, which support AI-driven interventions for decision-making. His current work includes exploring eXplainable AI (XAI) in healthcare settings and AI's role in enhancing workforce learning and performance.

Markel Vigo is a Reader in Computer Science at The University of Manchester, specializing in Human Computer Interaction, User Modeling, Health Informatics, and Accessibility. His research explores the intersection of technology and user experience, particularly in healthcare contexts. He investigates how web accessibility can be improved through user-centered design, automated evaluation tools, and inclusive technologies. His work also addresses challenges in AI explainability, patient portal design, and the impact of interface design on health outcomes. Vigo's research emphasizes the importance of user feedback and real-world usability in developing accessible and effective digital systems.