Maeve Hutchinson
Contact details
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About
Overview
Maeve Hutchinson is third-year PhD candidate supervised by Pranava Madhyastha, Radu Jianu, and Aidan Slingsby.
Her research spans data visualization, natural language processing, and human–AI interaction. She is interested in natural language as both a human artefact of visual analytics and a medium through which LLMs can support analytic processes. Her recent projects examine the natural-language traces of analysts' behaviour, focusing on how they articulate visualization design rationale, and the development of human-grounded visualization benchmarks for multimodal LLMs.
Qualifications
- Physics BSc, Imperial College London, United Kingdom
- Data Science MSc, City, University of London, United Kingdom
Research
Title of thesis: Data Visualisation mediated through natural language interaction
February 2023
Summary of research
Researching the use of natural language and other modalities for assisting the data visualisation and analysis process.
Research students
1stsupervisor
- Dr Pranava Madhyastha, Senior Lecturer
2ndsupervisor
- Dr Radu Jianu, Lecturer in Computer Science
- Dr Aidan Slingsby, Senior Lecturer
Publications
Publications by category
Conference papers and proceedings (7)
- Hutchinson, M., Jianu, R., Slingsby, A., Wood, J. and Madhyastha, P. (2025). Capturing Visualization Design Rationale. 2025 IEEE Visualization and Visual Analytics (VIS) 1-7 November.doi:10.1109/vis60296.2025.00052
- Jianu, R., Hutchinson, M., Andrienko, N., Andrienko, G., Elshehaly, M. and Slingsby, A. (2025). Mind-Mapping Data Analysis with LLMs: From Vision to First Steps. Computer Graphics and Visual Computing 11-12 September, Liverpool, UK.doi:10.2312/cgvc.20251221
- Hutchinson, M., Jianu, R., Slingsby, A., Wood, J. and Madhyastha, P. (2025). Chart Question Answering from Real-World Analytical Narratives. Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 4: Student Research Workshop) July.doi:10.18653/v1/2025.acl-srw.50
- Hutchinson, M., Jianu, R., Slingsby, A. and Madhyastha, P. (2024). LLM-Assisted Visual Analytics: Opportunities and Challenges. Computer Graphics & Visual Computing (CGVC) 2024 12-13 September, London, UK.doi:10.2312/cgvc.20241237
- Silkar, D., d'Avila Garcez, A., Bloomfield, R., Weyde, T., Peeroo, K., Singh, N.... Reljan-Delaney, M. (2024). The Misclassification Likelihood Matrix: Some Classes Are More Likely To Be Misclassified Than Others. CGVC 12-13 September, London, United Kingdom.doi:10.2312/cgvc.20241239
- Hutchinson, M., Jianu, R., Slingsby, A. and Madhyastha, P. (2024). From LitVis to Reasoning in Data Visualisation: A Research Plan. Computer Graphics & Visual Computing (CGVC) 2024 12-13 September, London, UK.
- Hutchinson, M., Slingsby, A., Jianu, R. and Madhyastha, P. (2023). Towards Visualisation Specifications from Multilingual Natural Language Queries using Large Language Models. Eurographics 2023 8-12 May, Saarbrücken, Germany.doi:10.2312/evp.20231072
Journal article
- Hutchinson, M., Jianu, R., Slingsby, A. and Madhyastha, P. (2025). Foundation model assisted visual analytics: Opportunities and Challenges. Computers & Graphics, 130, pp. 104246-104246. doi:10.1016/j.cag.2025.104246