Chronic Care in a Life Transition: Challenges and Opportunities for Artificial Intelligence to Support Young Adults With Type 1 Diabetes Moving to University

Sam James; Miranda E G Armstrong; Zahraa S Abdallah; Aisling Ann O'Kane

doi:10.1145/3544548.3580901

Chronic Care in a Life Transition: Challenges and Opportunities for Artificial Intelligence to Support Young Adults With Type 1 Diabetes Moving to University

Sam James, Miranda E G Armstrong, Zahraa S Abdallah, Aisling Ann O'Kane

Research output: Chapter in Book/Report/Conference proceeding › Conference Contribution (Conference Proceeding)

12 Citations (Scopus)

135 Downloads (Pure)

Abstract

Self-managing a chronic condition involves adapting management strategies to life's continual change. Among these changes, moments of significant life transition can render routine self-management practices obsolete without significant modification to the new context. In this study, we examine one significant life transition for young adults living with Type 1 Diabetes, the move from home to university, to understand how near future AI-enhanced technologies might provide opportunities and challenges for supporting care. From interviews with 24 students in the UK who had moved away from their childhood homes, we used sensemaking literature to frame the process of initial disruption to the rebuilding of self-care practices around a new lifestyle and support networks. By studying a significant life transition, we uncover implications for the design of T1D technology, particularly closed-loop systems, through AI enhancements and human-centred design approaches, then extrapolate for other significant life transitions and chronic conditions.

Original language	English
Title of host publication	CHI '23: Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems
Publisher	Association for Computing Machinery (ACM)
Number of pages	16
ISBN (Electronic)	9781450394215
DOIs	https://doi.org/10.1145/3544548.3580901
Publication status	Published - 19 Apr 2023
Event	CHI '23: CHI Conference on Human Factors in Computing Systems - Congress Center Hamburg (CCH), Congresspl. 1, 20355 Hamburg, Hamburg, Germany Duration: 23 Apr 2023 → 28 Apr 2023 https://chi2023.acm.org/

Publication series

Name	Proceedings of the ACM on Human-Computer Interaction
Publisher	Association for Computing Machinery (ACM)
ISSN (Print)	2573-0142

Conference

Conference	CHI '23
Abbreviated title	CHI '23
Country/Territory	Germany
City	Hamburg
Period	23/04/23 → 28/04/23
Internet address	https://chi2023.acm.org/

Bibliographical note

Funding Information:
Huge thanks go to the participants for their time and engagement, the Juvenile Diabetes Research Foundation (JDRF) for their help in participant recruitment and Will and Harry for their valuable insights. This work was supported by the Engineering and Physical Sciences Research Council (EPSRC) Digital Health and Care Centre for Doctoral Training (CDT) at the University of Bristol (UKRI Grant No. EP/S023704/1), Innovate UK Digital Catalyst Award - Digital Health ML4Diabetes, and the UKRI Trustworthy Autonomous Systems Hub (Grant code: RITM0372366) COTADS.

Publisher Copyright:
© 2023 ACM.

Research Groups and Themes

Bristol Interaction Group

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1145/3544548.3580901

Full-text PDF (accepted manuscript)
This is the accepted author manuscript (AAM). The final published version (version of record) is available online via Association for Computing Machinery (ACM) at https://doi.org/10.1145/3544548.3580901. Please refer to any applicable terms of use of the publisher.
Accepted author manuscript, 470 KBLicence: CC BY

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Cite this

James, S., Armstrong, M. E. G., Abdallah, Z. S., & O'Kane, A. A. (2023). Chronic Care in a Life Transition: Challenges and Opportunities for Artificial Intelligence to Support Young Adults With Type 1 Diabetes Moving to University. In CHI '23: Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems (Proceedings of the ACM on Human-Computer Interaction). Association for Computing Machinery (ACM). https://doi.org/10.1145/3544548.3580901

James, Sam ; Armstrong, Miranda E G ; Abdallah, Zahraa S et al. / Chronic Care in a Life Transition : Challenges and Opportunities for Artificial Intelligence to Support Young Adults With Type 1 Diabetes Moving to University. CHI '23: Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems. Association for Computing Machinery (ACM), 2023. (Proceedings of the ACM on Human-Computer Interaction).

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title = "Chronic Care in a Life Transition: Challenges and Opportunities for Artificial Intelligence to Support Young Adults With Type 1 Diabetes Moving to University",

abstract = "Self-managing a chronic condition involves adapting management strategies to life's continual change. Among these changes, moments of significant life transition can render routine self-management practices obsolete without significant modification to the new context. In this study, we examine one significant life transition for young adults living with Type 1 Diabetes, the move from home to university, to understand how near future AI-enhanced technologies might provide opportunities and challenges for supporting care. From interviews with 24 students in the UK who had moved away from their childhood homes, we used sensemaking literature to frame the process of initial disruption to the rebuilding of self-care practices around a new lifestyle and support networks. By studying a significant life transition, we uncover implications for the design of T1D technology, particularly closed-loop systems, through AI enhancements and human-centred design approaches, then extrapolate for other significant life transitions and chronic conditions.",

author = "Sam James and Armstrong, {Miranda E G} and Abdallah, {Zahraa S} and O'Kane, {Aisling Ann}",

note = "Funding Information: Huge thanks go to the participants for their time and engagement, the Juvenile Diabetes Research Foundation (JDRF) for their help in participant recruitment and Will and Harry for their valuable insights. This work was supported by the Engineering and Physical Sciences Research Council (EPSRC) Digital Health and Care Centre for Doctoral Training (CDT) at the University of Bristol (UKRI Grant No. EP/S023704/1), Innovate UK Digital Catalyst Award - Digital Health ML4Diabetes, and the UKRI Trustworthy Autonomous Systems Hub (Grant code: RITM0372366) COTADS. Publisher Copyright: {\textcopyright} 2023 ACM.; CHI '23 : CHI Conference on Human Factors in Computing Systems, CHI '23 ; Conference date: 23-04-2023 Through 28-04-2023",

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James, S , Armstrong, MEG , Abdallah, ZS & O'Kane, AA 2023, Chronic Care in a Life Transition: Challenges and Opportunities for Artificial Intelligence to Support Young Adults With Type 1 Diabetes Moving to University. in CHI '23: Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems. Proceedings of the ACM on Human-Computer Interaction, Association for Computing Machinery (ACM), CHI '23, Hamburg, Germany, 23/04/23. https://doi.org/10.1145/3544548.3580901

Chronic Care in a Life Transition: Challenges and Opportunities for Artificial Intelligence to Support Young Adults With Type 1 Diabetes Moving to University. / James, Sam ; Armstrong, Miranda E G ; Abdallah, Zahraa S et al.
CHI '23: Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems. Association for Computing Machinery (ACM), 2023. (Proceedings of the ACM on Human-Computer Interaction).

Research output: Chapter in Book/Report/Conference proceeding › Conference Contribution (Conference Proceeding)

TY - GEN

T1 - Chronic Care in a Life Transition

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AU - James, Sam

AU - Armstrong, Miranda E G

AU - Abdallah, Zahraa S

AU - O'Kane, Aisling Ann

N1 - Funding Information: Huge thanks go to the participants for their time and engagement, the Juvenile Diabetes Research Foundation (JDRF) for their help in participant recruitment and Will and Harry for their valuable insights. This work was supported by the Engineering and Physical Sciences Research Council (EPSRC) Digital Health and Care Centre for Doctoral Training (CDT) at the University of Bristol (UKRI Grant No. EP/S023704/1), Innovate UK Digital Catalyst Award - Digital Health ML4Diabetes, and the UKRI Trustworthy Autonomous Systems Hub (Grant code: RITM0372366) COTADS. Publisher Copyright: © 2023 ACM.

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N2 - Self-managing a chronic condition involves adapting management strategies to life's continual change. Among these changes, moments of significant life transition can render routine self-management practices obsolete without significant modification to the new context. In this study, we examine one significant life transition for young adults living with Type 1 Diabetes, the move from home to university, to understand how near future AI-enhanced technologies might provide opportunities and challenges for supporting care. From interviews with 24 students in the UK who had moved away from their childhood homes, we used sensemaking literature to frame the process of initial disruption to the rebuilding of self-care practices around a new lifestyle and support networks. By studying a significant life transition, we uncover implications for the design of T1D technology, particularly closed-loop systems, through AI enhancements and human-centred design approaches, then extrapolate for other significant life transitions and chronic conditions.

AB - Self-managing a chronic condition involves adapting management strategies to life's continual change. Among these changes, moments of significant life transition can render routine self-management practices obsolete without significant modification to the new context. In this study, we examine one significant life transition for young adults living with Type 1 Diabetes, the move from home to university, to understand how near future AI-enhanced technologies might provide opportunities and challenges for supporting care. From interviews with 24 students in the UK who had moved away from their childhood homes, we used sensemaking literature to frame the process of initial disruption to the rebuilding of self-care practices around a new lifestyle and support networks. By studying a significant life transition, we uncover implications for the design of T1D technology, particularly closed-loop systems, through AI enhancements and human-centred design approaches, then extrapolate for other significant life transitions and chronic conditions.

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PB - Association for Computing Machinery (ACM)

Y2 - 23 April 2023 through 28 April 2023

ER -

James S , Armstrong MEG , Abdallah ZS , O'Kane AA. Chronic Care in a Life Transition: Challenges and Opportunities for Artificial Intelligence to Support Young Adults With Type 1 Diabetes Moving to University. In CHI '23: Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems. Association for Computing Machinery (ACM). 2023. (Proceedings of the ACM on Human-Computer Interaction). doi: 10.1145/3544548.3580901

Chronic Care in a Life Transition: Challenges and Opportunities for Artificial Intelligence to Support Young Adults With Type 1 Diabetes Moving to University

Abstract

Publication series

Conference

Bibliographical note

Research Groups and Themes

UN SDGs

Access to Document

Handle.net

Other files and links

Fingerprint

Exploring the role of Smartwatches in Type 1 Diabetes Management

COTADS: 8030 EPSRC via Southampton TAS_PP_00034 - COdesigning Trustworthy Autonomous Diabetes Systems

Cite this

Chronic Care in a Life Transition: Challenges and Opportunities for Artificial Intelligence to Support Young Adults With Type 1 Diabetes Moving to University

Abstract

Publication series

Conference

Bibliographical note

Research Groups and Themes

UN SDGs

Access to Document

Handle.net

Other files and links

Fingerprint

Projects

Exploring the role of Smartwatches in Type 1 Diabetes Management

COTADS: 8030 EPSRC via Southampton TAS_PP_00034 - COdesigning Trustworthy Autonomous Diabetes Systems

Cite this