Dmitri S. Katz

Orcid: 0000-0003-1345-7539

According to our database1, Dmitri S. Katz authored at least 12 papers between 2016 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2023
Co-designing opportunities for Human-Centred Machine Learning in supporting Type 1 diabetes decision-making.
Int. J. Hum. Comput. Stud., May, 2023

2021
Co-Designing Personal Health? Multidisciplinary Benefits and Challenges in Informing Diabetes Self-Care Technologies.
Proc. ACM Hum. Comput. Interact., 2021

Machine Learning Explanations as Boundary Objects: How AI Researchers Explain and Non-Experts Perceive Machine Learning.
Proceedings of the Joint Proceedings of the ACM IUI 2021 Workshops co-located with 26th ACM Conference on Intelligent User Interfaces (ACM IUI 2021), 2021

2020
Model-Based Reinforcement Learning for Type 1Diabetes Blood Glucose Control.
CoRR, 2020

Model-Based Reinforcement Learning for Type 1 Diabetes Blood Glucose Control.
Proceedings of the First International AAI4H, 2020

2019
Supporting diabetes self-management with ubiquitous computing technologies: a user-centered inquiry.
PhD thesis, 2019

2018
Designing for Diabetes Decision Support Systems with Fluid Contextual Reasoning.
Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems, 2018

Data, Data Everywhere, and Still Too Hard to Link: Insights from User Interactions with Diabetes Apps.
Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems, 2018

2017
More Than Numbers: Designing Effective Diabetes Decision Support.
Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems, 2017

2016
Designing, developing, and evaluating the future internet of personal health.
Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2016 ACM International Symposium on Wearable Computers, 2016

Investigating the viability of automated, intuitive, and contextual insights for chronic disease self-management using ubiquitous computing technologies.
Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2016 ACM International Symposium on Wearable Computers, 2016

Questioning the Reflection Paradigm for Diabetes Mobile Apps.
Proceedings of the eHealth 360°, 2016


  Loading...