Clara-Maria Barth
|
|
Clara-Maria Barth Ph.D. Student of the groups ZPAC and IVDA
|
Research
My research focus is the user-centered design and development of personalized digital health solutions for people with chronic conditions. I believe personalization should go beyond basic customizations and simplistic categorizations of people, instead taking advantage of increasingly abundant individual data, ubiquitous technologies and AI. My approach is to leverage user-centered design methods, machine learning and interactive data visualization at runtime.
If you are interested in working with health data, be it from a human-centered design or data-science perspective, please contact me.
Short Bio
I finished my Master's Degree in Informatics at the University of Zurich in August 2023. My major was People-Oriented Computing, and my minor was Informatics. I wrote my Master's thesis at the ZPAC group: "Well, it depends... Investigating the Needs and Expectations for Blood Glucose Predictions in People with Type 1 Diabetes".
I worked as a HiWi at theIVDA group from November 2021 until July 2023. Where my focus was time-stamped event sequences see publication here and human-centered ranking of multivariate items see publication here. From Mai until August 2023 I was working as a HiWi at theZPAC group, focussing on blood glucose prediction in people with type 1 diabetes.
August 1st 2023 I started my Ph.D. supervised by Prof. Dr. Elaine May Huang and Prof. Dr. Jürgen Bernard with a scholarship from the DSI.
Current Projects
Find my current projects here
Publications
ZORA Publication List
Download Options
Publications
-
IVESA - Visual Analysis of Time-Stamped Event Sequences. IEEE Transactions on Visualization and Computer Graphics, 31(4):2235-2256.
-
"It's like a glimpse into the future": Exploring the Role of Blood Glucose Prediction Technologies for Type 1 Diabetes Self-Management. In: CHI '24: CHI Conference on Human Factors in Computing Systems, Honolulu HI USA, 11 May 2024 - 16 May 2024. ACM Digital library, online.
-
How applicable are attribute-based approaches for human-centered ranking creation?. Computers & Graphics, 114:45-58.
-
A Data-Centric Methodology and Task Typology for Time-Stamped Event Sequences. In: VIS Workshop on Evaluation and Beyond -- Methodological Approaches for Visualization (BELIV), Oklahoma City, USA, 16 October 2022 - 21 October 2022. IEEE, 66-76.