My research at Queen Mary University of London bridges human-computer and human-robot interaction to build accessible and inclusive technologies. I use both quantitative (biometrics, eye tracking, EMG) and qualitative (focus groups, thematic analysis) data to understand how neurodivergent and disabled people interact with robotic systems and technology generally.

I want to help to bridge the gap between those with disabilities and the technology they interact with. As an autistic person, I hope to do that, at least in part, for other autistic and neurodivergent individuals around the world. I’m particularly keen to build connections between neurodivergent people and researchers through the MINDS network, which I have established alongside my supervisor, Dr Ekaterina Ivanova.

Recent Publications

• Gill, D., 2026. Lived Experience Report: A Neurodivergent Neurodivergence-Technology Researcher, in: Maciel, C., Spano, D.L., Ardito, C., Freire, A., Prates, R. (Eds.), Blending Experiences in Interaction Design. Springer Nature Switzerland, Cham, pp. 315–319. https://doi.org/10.1007/978-3-032-22934-2_25
• Gill, D., 2024. MINDS – Mutual Inclusion through Neurodiversity in Science. Presented at the DMRN+24: Digital Music Research Network, Queen Mary University of London, p. 16.

For a full list of recent outputs, click here.