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

Author: 
Date created: 
2021-06-17
Identifier: 
etd21452
Keywords: 
Data analytics
Health informatics
Visual analytics
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 type: 
Thesis
Rights: 
This thesis may be printed or downloaded for non-commercial research and scholarly purposes. Copyright remains with the author.
File(s): 
Supervisor(s): 
Chris Shaw
Department: 
Communication, Art & Technology: School of Interactive Arts and Technology
Thesis type: 
(Thesis) M.Sc.
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