Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Amid Ayobi"'
Publikováno v:
Frontiers in Digital Health, Vol 5 (2023)
Externí odkaz:
https://doaj.org/article/7012bf7b41484a4f8d76da6e63133509
Autor:
Rachel Eardley, Emma L. Tonkin, Ewan Soubutts, Amid Ayobi, Gregory J. L. Tourte, Rachael Gooberman-Hill, Ian Craddock, Aisling Ann O'Kane
Publikováno v:
Proceedings of the ACM on Human-Computer Interaction. 7:1-25
Explaining health technology platforms to non-technical members of the public is an important part of the process of informed consent. Complex technology platforms that deal with safety-critical areas are particularly challenging, often operating wit
Autor:
Ewan Soubutts, Amid Ayobi, Rachel Eardley, Roisin McNaney, Kirsten Cater, Kane, Aisling Ann O.
Publikováno v:
University of Bristol-PURE
Although the use of voice assistants to support older adults at home shows promise, little is known about how the next generation of these devices, which also include displays, can support health and care needs. This question has become more importan
Autor:
Amid Ayobi, Rachel Eardley, Ewan Soubutts, Rachael Gooberman-Hill, Ian Craddock, Aisling Ann O'Kane
Publikováno v:
Proceedings of the ACM on Human-Computer Interaction. 6:1-27
A detailed understanding of the mental health needs of people from refugee backgrounds is crucial for the design of inclusive mental health technologies. We present a qualitative account of the digital mental health experiences of women from refugee
Autor:
Rachel Eardley, Sue Mackinnon, Emma L. Tonkin, Ewan Soubutts, Amid Ayobi, Jess Linington, Gregory J. L. Tourte, Zoe Banks Gross, David J. Bailey, Russell Knights, Rachael Gooberman-Hill, Ian Craddock, Aisling Ann O'Kane
Publikováno v:
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies. 6:1-23
We present a case study that informs the creation of a 'companion guide' providing transparency to potential non-expert users of a ubiquitous machine learning (ML) platform during the initial onboarding. Ubiquitous platforms (e.g., smart home systems
Publikováno v:
Soubutts, E, Czech, E, Ayobi, A, Eardley, R, Cater, K & O'Kane, A A 2023, The Shifting Sands of Labour : Changes in Shared Care Work with a Smart Home Health System . in A Schmidt, K Väänänen, T Goyal, P O Kristensson, A Peters, S Mueller, J R Williamson & M L Wilson (eds), CHI 2023 : Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems ., 490, Conference on Human Factors in Computing Systems-Proceedings, Association for Computing Machinery (ACM), 2023 CHI Conference on Human Factors in Computing Systems, CHI 2023, Hamburg, Germany, 23/04/23 . https://doi.org/10.1145/3544548.3581546
Whilst the use of smart home systems has shown promise in recent years supporting older people's activities at home, there is more evidence needed to understand how these systems impact the type and the amount of shared care in the home. It is import
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::aaf1f3cd80ba68b40d09a05e08ddc057
https://research-information.bris.ac.uk/ws/files/368162008/Shared_Care_Work_with_SMart_Homes.pdf
https://research-information.bris.ac.uk/ws/files/368162008/Shared_Care_Work_with_SMart_Homes.pdf
Autor:
Amid Ayobi, Jacob Hughes, Christopher J Duckworth, Jakub J Dylag, Sam James, Paul Marshall, Matthew Guy, Anitha Kumaran, Adriane Chapman, Michael Boniface, Aisling Ann O'Kane
Publikováno v:
Ayobi, A, Hughes, J, Duckworth, C J, Dylag, J J, James, S, Marshall, P, Guy, M J, Kumaran, A, Chapman, A, Boniface, M & O'Kane, A A 2023, Computational Notebooks as Co-Design Tools : Engaging Young Adults Living with Diabetes, Family Carers, and Clinicians with Machine Learning Models . in CHI 2023-Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems : Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems ., 300, Conference on Human Factors in Computing Systems-Proceedings, Association for Computing Machinery (ACM), CHI '23, Hamburg, Germany, 23/04/23 . https://doi.org/10.1145/3544548.3581424
Engaging end user groups with machine learning (ML) models can help align the design of predictive systems with people's needs and expectations. We present a co-design study investigating the benefits and challenges of using computational notebooks t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c30e5073259dd3cd7358654ba403a682
https://hdl.handle.net/1983/2ecc4266-11a5-46a2-a83d-770d9a28e9d5
https://hdl.handle.net/1983/2ecc4266-11a5-46a2-a83d-770d9a28e9d5
Publikováno v:
Proceedings of the ACM on Human-Computer Interaction. 5:1-26
Stairlifts are a widely-used technology in the home that help people with mobility issues to go up and down stairs. However, it is unclear how stairlifts are experienced by all household members and what this understanding implies for home healthcare
Autor:
Katarzyna Stawarz, Dmitri Katz, Amid Ayobi, Paul Marshall, Taku Yamagata, Raul Santos-Rodriguez, Peter Flach, Aisling Ann O’Kane
Publikováno v:
International Journal of Human-Computer Studies. 173:103003
Autor:
Christopher Duckworth, Matthew J. Guy, Anitha Kumaran, Aisling Ann O’Kane, Amid Ayobi, Adriane Chapman, Paul Marshall, Michael Boniface
Publikováno v:
Duckworth, C, Guy, M J, Kumaran, A, O'Kane, A A, Ayobi, A, Chapman, A, Marshall, P & Boniface, M 2022, ' Explainable Machine Learning for Real-Time Hypoglycemia and Hyperglycemia Prediction and Personalized Control Recommendations ', Journal of Diabetes Science and Technology, pp. 1-11 . https://doi.org/10.1177/19322968221103561
Background: The occurrences of acute complications arising from hypoglycemia and hyperglycemia peak as young adults with type 1 diabetes (T1D) take control of their own care. Continuous glucose monitoring (CGM) devices provide real-time glucose readi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3c4fcce7d3b017fff355c6ea36f8f9e4
https://research-information.bris.ac.uk/ws/files/341408518/Full_text_PDF_final_published_version_.pdf
https://research-information.bris.ac.uk/ws/files/341408518/Full_text_PDF_final_published_version_.pdf