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Design and in pandemic validation of correlation visualisation for sleep data analytics

Resource type
Thesis type
(Thesis) M.Sc.
Date created
2021-06-17
Authors/Contributors
Abstract
Sleep plays an important role in the overall health and well-being of a child. The relationship between sleep and daytime behaviours of children with sleep disorders is understood poorly; different aspects of a child's routine may interact with each other to contribute to sleep disorders. To diagnose, monitor and successfully treat many medical conditions pertaining to sleep, it becomes imperative to analyse the many aspects of a child's daytime and sleep behaviours. We built a visual analytic tool for studying the correlation between different variables pertaining to the daily life of the child. The tool allows clinicians to explore how the different aspects of a child's behaviour and activities affect their sleep and overall well-being. This tool is developed as an extension of an existing tool SWAPP, which allows caregivers and clinicians to log and monitor the child's everyday data. Later, we performed a remote usability study on the tool to demonstrate the efficacy of the tool. Finally, we generated actionable guidelines for improving the tool from the results of the study.
Document
Identifier
etd21452
Copyright statement
Copyright is held by the author(s).
Permissions
This thesis may be printed or downloaded for non-commercial research and scholarly purposes.
Supervisor or Senior Supervisor
Thesis advisor: Shaw, Chris
Language
English
Download file Size
input_data\21392\etd21452.pdf 3.69 MB

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