Project OverviewMy project aims to improve how 24-hour movement behaviour from accelerometers are communicated and visualised. As these data grow more multidimensional, clear and interpretable visualisations become essential for effective understanding and decision-making. Through quantitative, qualitative, and design-based approaches, I will develop principles, frameworks, and tools that make data visualisations more accessible, accurate, and inclusive for diverse audiences in movement behaviour research.First StudyVisualising accelerometer-based 24/7 human movement behaviour data – an umbrella review and framework development. My first project is an umbrella review that maps how accelerometer-derived metrics of 24-hour movement behaviour are currently visualised and communicated. Reviews are analysed to identify outcome metrics, followed by a thematic analysis and complementary web searches to find visualisation types. Based on these findings, a communication framework grounded in the sender–receiver model to guide the effective visualisation of movement behaviour data is developed to provide a structured overview of existing visualisation practices. This project lays the foundation for future research on how different audiences perceive and interpret such visualisations.Second StudyPerceptions and preferences of visualisations of accelerometer-based 24/7 movement behaviour data. My second project investigates how different visualisation techniques affect the interpretation and clarity of 24-hour movement behaviour data among movement behaviour researchers and health professionals. It examines how visual characteristics such as complexity, design style, and abstraction, shape users’ understandings, perceptions and preferences. Combining quantitative and qualitative approaches, the project aims to determine which visualisation formats most effectively communicate movement behaviour data to this audience.Third StudyDeveloping a tool for Interpretable Data Communication. This project focuses on creating an evidence-based framework and digital tool to help researchers choose effective visualisations for 24-hour movement behaviour data. Building on findings from the previous projects, it integrates visualisation design principles into a recommendation system that promotes transparency, reproducibility, and audience-sensitive communication. The project involves designing and evaluating the framework and developing some sort of tool that suggests suitable visualisations based on dataset characteristics and communication objectives. |