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Miranda Elaine Glynis Armstrong

dblp:344/9143 · also Miranda Armstrong · DBLP profile ↗
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2ranked-venue papers
0as first author
2since 2021 · last 2025
0000-0001-8946-5776ORCID · verified

Domains — the database's venue-derived domains; a paper can count in several

Human-computer interaction and ubiquitous computing · 2 · 2 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Human-computer interaction and pervasive computing
2 papers
Health and well-being technologies · 78% Wearable and physiological sensing · 15% Ubiquitous computing and smart environments · 4%

Topics — the 5 heaviest of 7, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Health and well-being technologies › chronic illness management
chronic disease self-management
1.522025
Integrating Technology into Self-Management Ecosystems: Young Adults with Type 1 Diabetes in the UK using Smartwatches · CHI 2025
Chronic Care in a Life Transition: Challenges and Opportunities for Artificial Intelligence to Support Young Adults With Type 1 Diabetes Moving to University · CHI 2023
Health and well-being technologies › chronic illness management
type 1 diabetes management
1.522025
Integrating Technology into Self-Management Ecosystems: Young Adults with Type 1 Diabetes in the UK using Smartwatches · CHI 2025
Chronic Care in a Life Transition: Challenges and Opportunities for Artificial Intelligence to Support Young Adults With Type 1 Diabetes Moving to University · CHI 2023
Health and well-being technologies › chronic illness management › self-management
health self-management
0.912025
Integrating Technology into Self-Management Ecosystems: Young Adults with Type 1 Diabetes in the UK using Smartwatches · CHI 2025
Wearable and physiological sensing › smart wearable
smartwatch
0.912025
Integrating Technology into Self-Management Ecosystems: Young Adults with Type 1 Diabetes in the UK using Smartwatches · CHI 2025
Design research and methods
user-centered design
0.212023
Chronic Care in a Life Transition: Challenges and Opportunities for Artificial Intelligence to Support Young Adults With Type 1 Diabetes Moving to University · CHI 2023

Methods — techniques the papers use, named apart from their topics

interviews · 1.5thematic analysis · 0.9focus groups · 0.9sensemaking · 0.7
YearPublicationVenuePosition
2025 Integrating Technology into Self-Management Ecosystems: Young Adults with Type 1 Diabetes in the UK using Smartwatches
abstract
Self-managing chronic conditions typically involves a diverse network of individuals and devices, forming a self-management ecosystem. For this ecosystem to be effective, components need to work together cohesively. The rapid advancement of technology means new devices need to be repeatedly integrated into existing self-management ecosystems. To examine this process, we used the case study of young adults with type 1 diabetes (T1D) in the UK who were given a smartwatch. Over six months, interviews and focus groups were performed to explore their smartwatch use alongside T1D management. Thematic analysis highlighted that smartwatches have potential as a display, interface and data source in T1D management, which is of particular importance as artificial intelligence plays a growing role in self-management ecosystems. It also emphasised the need for customisation, flexibility and adaptability, and automation in the design of technology to promote integration into existing self-management ecosystems for both T1D and other chronic conditions.
Sam Gordon James, Miranda Elaine Glynis Armstrong, Zahraa Said Abdallah, Harry Emerson, Aisling Ann O'Kane
CHI2
2023 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.
Sam Gordon James, Miranda Elaine Glynis Armstrong, Zahraa Said Abdallah, Aisling Ann O'Kane
CHI2