I design and evaluate how people interact with emerging technologies. My work combines interactive prototyping, user research, and behavioural studies to understand how technology shapes attention, comprehension, and collaboration.
I help organisations turn their ideas into solutions that work for people.
Bridging Worlds: Towards meaningful interactions between humans and intelligent systems
My research is driven by a fundamental question: How do we design interfaces and behaviours that allow humans to trust, understand, and collaborate with increasingly autonomous systems? As we transition from traditional screens to spatial computing and embodied AI, the interaction is no longer just through a flat surface, but through the environment itself.
My work traverses across the intersection of Human-Computer (HCI), Spatial Computing (AR/VR), and Applied AI. I design, develop, and investigate systems that facilitate communication between humans and machines or artefacts, whether that machine is an automated vehicle on a city street, an augmented control room environment, a social robot in a hospital ward, or an artefact in a museum.
INNOVATING HUMAN-CENTRED TECHNOLOGY
I am currently leading technical design efforts at the Erasmus MC and TU Delft Industrial Design Engineering to investigate how applied AI and robotics may facilitate nursing work by alleviateing certain burdens and maximising their contact with patients. In this position, I am the human-computer/robot interaction expert within a transdisciplinary team investiagting how technology can enhance the future of work. In this project, I am applying spatial computing technology and worldbuilding technqiues to design and develop solutions together with the nurses and hospital management.
Positions:
Senior scientific researcher at the Department of Nursing Science, Erasmus Medical Centre.
Postdoctoral researcher at StudioLab, Faculty of Industrial Design Engineering, TU Delft.
Project:
Facing the nursing shortage: innovating for a better future (NURTURE). Collaboration between Convergence and FRAIM. 2024 - 2026.
My PhD investigated how automated vehicles can communicate with pedestrians through augmented reality (AR). I designed and evaluated nine AR interfaces that varied symbols, text, colour and placement (on the road, on the vehicle, or head-locked). I tested how each one affected pedestrians’ understanding, trust and willingness to cross.
The studies moved progressively closer to real-world conditions, from online surveys to a CAVE simulator to AR headset experiments. I also pioneered the use of diminished reality to remove visual obstructions in hazardous scenarios and the use of large language models to streamline qualitative analysis. The result is a set of empirical guidelines for safe, transparent interactions between automated vehicles and pedestrians.
My work was deemed excellent by the European Commission's (European Research Executive Agency) final external review.
Positions:
Marie Curie Early Stage Researcher (ESR) at the Department of Cogntive Robotics, TU Delft.
Visiting PhD Candicdate at the Institute of Transport Studies, University of Leeds.
Project:
Supporting the Interaction of Humans and Automated Vehicles (SHAPE-IT).
Marie Skłodowska-Curie Innovative Training Network.
2020 - 2024.
ENRICHING MUSEUM EXPERIENCES
Another aspect of my research is investigating human perceptual attention during interactions. I have applied various eye-tracking methodologies within the digital heritage domain to enhance museum visitor experience and inform educator and curatorial teams.
In collaboration with Dutch TV (NPO2) programme 'The Secret of the Master', by AVROTROS, I ran a study investigating how visitors visually explore Rembrandt’s The Night Watch (1642) at the Rijksmuseum's Hall of Masters.
Using mobile eye tracking and think-aloud protocols, we analysed where attention was directed and how it changed over time. Viewers initially focused on key faces and prominent figures before exploring finer details, supporting the idea that Rembrandt used light, texture, and composition to guide attention. The study also introduced a robust markerless method for mapping gaze onto large artworks.
