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I studied a Masters in Human-Computer Interaction at the University of Birmingham. I have written research papers with a focus on Human-AI interaction, behavioural studies, persuasive and ubiquitous technologies. My final dissertation was on Adaptive Gamified Learning.
I am curious about how people interact with technology, (both novel and mainstream), and have a proven track record of user research (qualitative and quantitative), experiment design, user testing and data analysis.
Outside of my academic work, I have spent some time at The Honeycomb Works building a behaviour change tool that is driven by technology, design-thinking and evidence-based research particularly surrounding DEI and organisational culture change.
The increasing complexity of AI systems has led to the blackbox problem. However, Explainable AI research has been heavily inclined towards the technical, machine-centred approach, with inadequate emphasis on the human users of AI systems and how to make AI decisions more understandable for them. This paper investigated the current state of the art of Human-centred Explainable AI (HCXAI).
While many Task Management applications promise to improve the productivity of remote workers, it remains unclear how effective they are. Using a mixed-methods diary study and semi-structured interviews, this research investigated the productivity needs and challenges of remote knowledge workers and how they use Task Management tools.
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