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Visualising the Sensemaking Space

Background This project closely relates to the Visual Analytics for Sensemaking project. Please check that project webpage for the introduction on sensemaking. A published paper describing the idea and a link to a online demo are available on this page. The goal of this project is to understand how users make sense of data by […]

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Human-AI Teaming

Background Extracting required information from documents is a common task in may research areas such as Human-Computer Interaction (HCI), Psychology, Sociology, Law, and Business. For example, in a study to understand the the decision making process in the England appeal court, the researchers need to analysis count documents like this. The needed information includes the […]

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Visual Analytic for Sensemaking

Background The goal of this project is to understand how users (general public or domain experts) make sense of data using data visualisation and/or machine learning, and build tools to support them. ‘Sensemaking’ is a bit broader than what is usually known as ‘data analysis’, as shown in the diagram below (the ‘Pirolli-Card model’): Searching […]

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Human-Centred Data Science

Background While there are some efforts to automate the process of build machine learning model (commonly known as ‘AutoML’), there are many tasks in the different stages of a data science pipeline (see the diagram below) cannot be fully automated. For example, for ‘Data Wrangling’ a decision has to be made which dataset to get. […]