Dr Aisling O'Kane
BASc, MSc, PhD
Current positions
Associate Professor of Human-Computer Interaction for Health
School of Computer Science
Contact
Press and media
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Research interests
My research focuses on understanding how health and wellbeing technologies are used (and not used!) in the wild. I employ qualitative and participatory design approaches to studies of interactive technologies such as fitness apps, medical devices, and wearable technologies. Past and current studies include the examination of the use of Type 1 Diabetes devices, mobile phone apps for running, wearables in the gym, hearing aids, and high tech wearable baby monitors. I have also started to examine the practices and the trends of people designing, building and sharing do-it-yourself health and wellbeing technologies, particularly for Type 1 Diabetes.
Projects and supervisions
Research projects
The opportunities for using physiological data in AI-based closed-loop systems for young adults with T1D in the UK
Principal Investigator
Role
Co-Investigator
Description
Type 1 diabetes (T1D) is a chronic condition characterised by insufficient insulin production, necessitating insulin injections for blood glucose control [1]. Recent advancements in T1D technology are leading to the…Managing organisational unit
School for Policy StudiesDates
01/12/2023 to 01/06/2024
Transforming the Objective Real-world measUrement of Symptoms (TORUS)
Principal Investigator
Role
Co-Investigator
Managing organisational unit
Department of Electrical & Electronic EngineeringDates
01/10/2023 to 30/09/2028
ESRC Centre for Sociodigital Futures
Principal Investigator
Role
Co-Investigator
Managing organisational unit
School of Sociology, Politics and International StudiesDates
01/05/2022 to 30/04/2027
8030 EPSRC via Southampton TAS_PP_00034 - COdesigning Trustworthy Autonomous Diabetes Systems
Principal Investigator
Managing organisational unit
Department of Computer ScienceDates
01/05/2021 to 30/06/2022
InnovateUK ML4D: Machine Learning for Enhanced Diabetes Self-Care
Principal Investigator
Description
Innovate UK: Digital health technology catalyst round 2, collaboration between Quin Technologies Ltd and University of BristolManaging organisational unit
Department of Computer ScienceDates
01/11/2018 to 30/04/2020
Thesis supervisions
Aging in place together
Supervisors
Publications
Recent publications
11/05/2024“I think it saved me. I think it saved my heart”
CHI 2024 - Proceedings of the 2024 CHI Conference on Human Factors in Computing Sytems
Using and Appropriating Technology to Support The Menopause Journey in the UK
CHI 2024 - Proceedings of the 2024 CHI Conference on Human Factors in Computing Systems
A Quantitative Report on Type 2 Diabetes Care in Port Harcourt: Insights into Socio-demographic Influences and Design Opportunities (Preprint)
Artificial intelligence for collective intelligence
The Knowledge Engineering Review
Explainable Machine Learning for Real-Time Hypoglycemia and Hyperglycemia Prediction and Personalized Control Recommendations
Journal of Diabetes Science and Technology