Iteration, Iteration, Iteration : How Restructuring Data Can Reveal Complex Relationships Between Chronic Illnesses and the Apps Intended to Support Them

Field, Hannah and Thomas, Lisa and Tsekleves, Emmanuel (2023) Iteration, Iteration, Iteration : How Restructuring Data Can Reveal Complex Relationships Between Chronic Illnesses and the Apps Intended to Support Them. In: HCI International 2023 Posters - 25th International Conference on Human-Computer Interaction, HCII 2023, Proceedings :. Communications in Computer and Information Science . Springer, Cham, pp. 68-75. ISBN 9783031359972

Text (Iteration, Iteration, Iteration_ How Restructuring Data can Reveal Complex Relationships Between Chronic Illnesses and the Apps Intended to Support Them)
Iteration_Iteration_Iteration_How_Restructuring_Data_can_Reveal_Complex_Relationships_Between_Chronic_Illnesses_and_the_Apps_Intended_to_Support_Them.pdf - Accepted Version
Available under License Creative Commons Attribution.
Download (10MB)

Abstract

This study intended to gain a broad understanding of how commercial apps may support people with chronic illness management, through the restructuring of data for analysis. The study formed an initial part of a larger PhD project looking into symptom tracking for people with chronic illnesses. The study included apps designed for people with Rheumatoid Arthritis, Crohn’s and Inflammatory Bowel Disease (IBD), Myalgic Encephalomyelitis (ME), and Anxiety conditions (aggregated and including Bi-Polar Disorder, Generalised Anxiety Disorder and Panic Disorder) to give an overview of how apps might engage with different types of chronic illness, all of which feature fatigue as a main symptom. In this paper, we report on the process of creating and using an iterative process to rearrange the data collected in order to reveal more complex relationships between the chronic illnesses and the apps intended to support them.