Privacy of data visualisation and restriction of data sharing

Ching-Chan Lin


Supervised by Parisa Eslambolchilar; Moderated by Yuhua Li

This project aims to investigate privacy issues of personal health data visualisation shared on online health data platforms. When people share their health data visualisation like daily steps and calories on a web platform, their personal information could be identified by the data trends and analysis. Therefore, this project creates interactive visualisations on a web platform and invites participants to compare them the visualisations and fill in a questionnaire to understand people’s thoughts. The aim of the project is to find out what people think about restricting data sharing options in visualisations and understanding how people want to share data.

Final Report (09/12/2022) [Zip Archive]

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