Research Interests

Human-Centered AI and Human-AI Collaboration
Designing AI systems that support human agency, understanding, creativity, and meaningful collaboration.

Human-in-the-Loop AI and Decision Support
Studying how people interpret, trust, question, and rely on AI recommendations in complex decision-making contexts.

AI Ethics, AI Governance, and Responsible AI
Examining how intelligent systems can be designed, evaluated, and governed to promote transparency, accountability, fairness, and social responsibility.

Responsible AI Design and Interaction Design
Developing design principles for AI interfaces that reduce over-trust, automation bias, misuse, and unintended behavioural effects.

Trust, Anthropomorphism, and User Perception of AI
Investigating how AI design cues shape perceived intelligence, agency, credibility, empathy, and trustworthiness.

Behavioural Decision-Making and Cognitive Science
Exploring how people reason under uncertainty, process information, and make decisions with data, visualisations, and intelligent systems.

UX Research, HCI Methods, and Behavioural Experimentation
Using experiments, user studies, mixed methods, psychometrics, and statistical modelling to evaluate human interaction with digital systems.