Using thematic analysis in healthcare HCI at CHI: A scoping review
CHI papers researching healthcare human-computer interaction (HCI) are increasingly
reporting the use of “thematic analysis”(TA). TA refers to a range of flexible and evolving …
reporting the use of “thematic analysis”(TA). TA refers to a range of flexible and evolving …
Chronic care in a life transition: Challenges and opportunities for artificial intelligence to support young adults with type 1 diabetes moving to university
S James, M Armstrong, Z Abdallah… - Proceedings of the 2023 …, 2023 - dl.acm.org
Self-managing a chronic condition involves adapting management strategies to life's
continual change. Among these changes, moments of significant life transition can render …
continual change. Among these changes, moments of significant life transition can render …
Do people engage cognitively with AI? Impact of AI assistance on incidental learning
KZ Gajos, L Mamykina - … of the 27th International Conference on …, 2022 - dl.acm.org
When people receive advice while making difficult decisions, they often make better
decisions in the moment and also increase their knowledge in the process. However, such …
decisions in the moment and also increase their knowledge in the process. However, such …
Sociocultural dimensions of tracking health and taking care
The field of personal health informatics has received increasing attention within the CSCW
and HCI communities as health tracking becomes more affordable, accessible, and …
and HCI communities as health tracking becomes more affordable, accessible, and …
From reflection to action: Combining machine learning with expert knowledge for nutrition goal recommendations
E G. Mitchell, E M. Heitkemper… - Proceedings of the …, 2021 - dl.acm.org
Self-tracking can help personalize self-management interventions for chronic conditions like
type 2 diabetes (T2D), but reflecting on personal data requires motivation and literacy …
type 2 diabetes (T2D), but reflecting on personal data requires motivation and literacy …
Characteristics of smartphone-based dietary assessment tools: A systematic review
LM König, M Van Emmenis, J Nurmi… - Health Psychology …, 2022 - Taylor & Francis
Smartphones have become popular in assessing eating behaviour in real-life and real-time.
This systematic review provides a comprehensive overview of smartphone-based dietary …
This systematic review provides a comprehensive overview of smartphone-based dietary …
A simple modeling framework for prediction in the human glucose–insulin system
Forecasting blood glucose (BG) levels with routinely collected data is useful for glycemic
management. BG dynamics are nonlinear, complex, and nonstationary, which can be …
management. BG dynamics are nonlinear, complex, and nonstationary, which can be …
Patient-generated health data: dimensions, challenges, and open questions
MC Figueiredo, Y Chen - Foundations and Trends® in …, 2020 - nowpublishers.com
In this review, we present an overview of patient-generated health data (PGHD) research,
focusing on important aspects that inform and define studies in the area. We start by …
focusing on important aspects that inform and define studies in the area. We start by …
A predictive model for next cycle start date that accounts for adherence in menstrual self-tracking
Objective The study sought to build predictive models of next menstrual cycle start date
based on mobile health self-tracked cycle data. Because app users may skip tracking …
based on mobile health self-tracked cycle data. Because app users may skip tracking …
[HTML][HTML] Co-designing opportunities for Human-Centred Machine Learning in supporting Type 1 diabetes decision-making
Abstract Type 1 Diabetes (T1D) self-management requires hundreds of daily decisions.
Diabetes technologies that use machine learning have significant potential to simplify this …
Diabetes technologies that use machine learning have significant potential to simplify this …