I work toward the vision of Experience-Aligned Mediated Reality.
In mediated environments, adaptive interfaces can align people’s subjective experience of technology with their needs, abilities, and preferences by adding, removing, or modifying perceptual information as it reaches the user.
To realise this vision, user interfaces should follow three core principles:
Legibility
Users can understand what matters, what is uncertain, and why information is filtered, revealed, or clarified.
Contextuality
Mediation fits the user’s abilities and goals, the task, the environment, the system state, and the social context.
Contestability
Users can inspect, correct, and shape adaptive behaviour when mediation affects what they perceive, trust, or decide.
I develop this vision through empirical and technical research on interfaces that mediate how people perceive and interact with emerging technologies. Across three connected research areas, my work studies mediated interaction with emerging technologies, human experience alignment, and scalable interface optimization and evaluation.
Legibility Making automated vehicle perception visible and interpretable through real-time mediated reality.
Contextuality Analysing how interface behaviour changes across mixed-immersive study contexts.
Contestability Enabling users to guide optimization of automated vehicle visualizations through feedback.
