Co-designing opportunities for Human-Centred Machine Learning in supporting Type 1 diabetes decision-making

Author:

Stawarz KatarzynaORCID,Katz Dmitri,Ayobi Amid,Marshall Paul,Yamagata Taku,Santos-Rodriguez Raul,Flach PeterORCID,O’Kane Aisling Ann

Publisher

Elsevier BV

Subject

Hardware and Architecture,Human-Computer Interaction,General Engineering,Education,Human Factors and Ergonomics,Software

Reference139 articles.

1. Trends and trajectories for explainable, accountable and intelligible systems: an HCI research agenda;Abdul,2018

2. Power to the people: The role of humans in interactive machine learning;Amershi;AI Mag.,2014

3. Computer vision-based carbohydrate estimation for type 1 patients with diabetes using smartphones;Anthimopoulos;J. Diabetes Sci. Technol.,2015

4. Support for the inclusion of personal value preferences in decision support systems;Ariail;J. Manag. Inf. Decis. Sci.,2015

5. Mobile health applications to assist patients with diabetes: lessons learned and design implications;Arsand;J. Diabetes Sci. Technol.,2012

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