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

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

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Iteration, Iteration, Iteration: How Restructuring Data Can Reveal Complex Relationships Between Chronic Illnesses and the Apps Intended to Support Them . / Field, Hannah; Thomas, Lisa; Tsekleves, Emmanuel.
HCI International 2023 Posters - 25th International Conference on Human-Computer Interaction, HCII 2023, Proceedings. ed. / Constantine Stephanidis; Margherita Antona; Stavroula Ntoa; Gavriel Salvendy. Cham: Springer, 2023. p. 68-75 (Communications in Computer and Information Science; Vol. 1834 CCIS).

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

Harvard

Field, H, Thomas, L & Tsekleves, E 2023, Iteration, Iteration, Iteration: How Restructuring Data Can Reveal Complex Relationships Between Chronic Illnesses and the Apps Intended to Support Them . in C Stephanidis, M Antona, S Ntoa & G Salvendy (eds), HCI International 2023 Posters - 25th International Conference on Human-Computer Interaction, HCII 2023, Proceedings. Communications in Computer and Information Science, vol. 1834 CCIS, Springer, Cham, pp. 68-75. https://doi.org/10.1007/978-3-031-35998-9_10

APA

Field, H., Thomas, L., & Tsekleves, E. (2023). Iteration, Iteration, Iteration: How Restructuring Data Can Reveal Complex Relationships Between Chronic Illnesses and the Apps Intended to Support Them . In C. Stephanidis, M. Antona, S. Ntoa, & G. Salvendy (Eds.), HCI International 2023 Posters - 25th International Conference on Human-Computer Interaction, HCII 2023, Proceedings (pp. 68-75). (Communications in Computer and Information Science; Vol. 1834 CCIS). Springer. https://doi.org/10.1007/978-3-031-35998-9_10

Vancouver

Field H, Thomas L, Tsekleves E. Iteration, Iteration, Iteration: How Restructuring Data Can Reveal Complex Relationships Between Chronic Illnesses and the Apps Intended to Support Them . In Stephanidis C, Antona M, Ntoa S, Salvendy G, editors, HCI International 2023 Posters - 25th International Conference on Human-Computer Interaction, HCII 2023, Proceedings. Cham: Springer. 2023. p. 68-75. (Communications in Computer and Information Science). doi: 10.1007/978-3-031-35998-9_10

Author

Field, Hannah ; Thomas, Lisa ; Tsekleves, Emmanuel. / Iteration, Iteration, Iteration : How Restructuring Data Can Reveal Complex Relationships Between Chronic Illnesses and the Apps Intended to Support Them . HCI International 2023 Posters - 25th International Conference on Human-Computer Interaction, HCII 2023, Proceedings. editor / Constantine Stephanidis ; Margherita Antona ; Stavroula Ntoa ; Gavriel Salvendy. Cham : Springer, 2023. pp. 68-75 (Communications in Computer and Information Science).

Bibtex

@inproceedings{754a4d963bbf48f49335c6e43c15dfd7,
title = "Iteration, Iteration, Iteration: How Restructuring Data Can Reveal Complex Relationships Between Chronic Illnesses and the Apps Intended to Support Them ",
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{\textquoteright}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.",
keywords = "Symptom tracking apps, iterated analysis",
author = "Hannah Field and Lisa Thomas and Emmanuel Tsekleves",
year = "2023",
month = jul,
day = "9",
doi = "10.1007/978-3-031-35998-9_10",
language = "English",
isbn = "9783031359972",
series = "Communications in Computer and Information Science",
publisher = "Springer",
pages = "68--75",
editor = "Constantine Stephanidis and Margherita Antona and Stavroula Ntoa and Gavriel Salvendy",
booktitle = "HCI International 2023 Posters - 25th International Conference on Human-Computer Interaction, HCII 2023, Proceedings",

}

RIS

TY - GEN

T1 - Iteration, Iteration, Iteration

T2 - How Restructuring Data Can Reveal Complex Relationships Between Chronic Illnesses and the Apps Intended to Support Them

AU - Field, Hannah

AU - Thomas, Lisa

AU - Tsekleves, Emmanuel

PY - 2023/7/9

Y1 - 2023/7/9

N2 - 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.

AB - 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.

KW - Symptom tracking apps

KW - iterated analysis

U2 - 10.1007/978-3-031-35998-9_10

DO - 10.1007/978-3-031-35998-9_10

M3 - Conference contribution/Paper

SN - 9783031359972

T3 - Communications in Computer and Information Science

SP - 68

EP - 75

BT - HCI International 2023 Posters - 25th International Conference on Human-Computer Interaction, HCII 2023, Proceedings

A2 - Stephanidis, Constantine

A2 - Antona, Margherita

A2 - Ntoa, Stavroula

A2 - Salvendy, Gavriel

PB - Springer

CY - Cham

ER -