Applying psychology to technology design
I specialise in applying concepts from psychology and cognitive science to the design of automated systems and decision support. These concepts include cognitive biases, emotion regulation theories, metacognition, and behaviour change theories.

“Technology design” means the whole system architecture, not just “user experience” or “web or app design” (although they are important). The design includes the processes and data behind the user experience. For example: What data is collected and how? What data analysis processes are applied? What algorithms (if any) are used to decide what information is presented to the user?

A broader view of AI
AI is more than just machine learning and generative AI. For example, it also includes logic-based reasoning and planning. Many useful methods exist that could be combined with current machine learning approaches, resulting in more reliable and environment-friendly solutions.

Participatory design
Participatory methods play a key role in ethical automated decisions. The experiences and concerns of disadvantaged people need to be understood and reflected in the data, algorithms and architecture of the system. For more details, see this substack post.

Example applications
I am particularly focusing on decision support to navigate complex systems (such as public policy decisions or infrastructure management). My other interests include countering disinformation and interventions for mental health or behaviour change.