Data sensemaking in self-tracking: Towards a new generation of self-tracking tools

A Coşkun, A Karahanoğlu - International Journal of Human …, 2023 - Taylor & Francis
Abstract Human-Computer Interaction (HCI) researchers have been increasingly interested
in investigating self-trackers' experience with self-tracking tools (STT) to get meaningful …

DiaTrend: A dataset from advanced diabetes technology to enable development of novel analytic solutions

T Prioleau, A Bartolome, R Comi, C Stanger - Scientific Data, 2023 - nature.com
Objective digital data is scarce yet needed in many domains to enable research that can
transform the standard of healthcare. While data from consumer-grade wearables and …

It's like an educated guessing game: Parents' strategies for collaborative diabetes management with their children

YJ Cha, A Wou, A Saxena, J Lee… - Proceedings of the …, 2023 - dl.acm.org
Children with Type 1 Diabetes (T1D) face many challenges with keeping their blood glucose
levels within a healthy range because they cannot manage their illness by themselves. To …

Glucomine: A case for improving the use of wearable device data in diabetes management

A Bartolome, S Shah, T Prioleau - Proceedings of the ACM on Interactive …, 2021 - dl.acm.org
The growing popularity of wearable devices for continuous sensing has made personal
health data increasingly available, yet methods for data interpretation are still a work in …

Investigating temporal patterns of glycemic control around holidays

P Belsare, B Lu, A Bartolome… - 2022 44th Annual …, 2022 - ieeexplore.ieee.org
Maintaining good glycemic control is a central part of diabetes care. However, it can be a
tedious task because many factors in daily living can affect glycemic control. To support …

Theory-driven visual design to support reflective dietary practice via mHealth: A design science approach

N Leipold, H Hauptmann, M Boehm… - AIS Transactions on …, 2023 - aisel.aisnet.org
Abstract Design for reflection in human-computer interaction (HCI) has evolved from
focusing on an abstract and outcome-driven design subject towards exposing procedural or …

Hybrid Visualisation Recommender System of Patient-Generated Complex Diabetes Data

LS Low - 2023 - figshare.swinburne.edu.au
This research introduces MTViz, a novel hybrid visualisation recommender system
leveraging machine learning models to predict data analysis tasks and rule-based heuristics …

A Task-Driven Visualization Framework for Diabetes Management

LS Low, WT Vong, BCS Loh, PHH Then - ASEAN Australian Engineering …, 2022 - Springer
Diabetes are chronic diseases that require patients to regularly manage their own health
conditions. The goal is to have their blood glucose levels under control by making frequent …