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 source code of the system is available on GitHub. The goal of this project […]
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 […]
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 […]
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. […]
Human-AI Teaming 