17 citations · 30 across the 6 of their papers we have counts for
6 papers
What Clinicians Need: Designing, Developing and Evaluating an AI-Based Decision Support System for Autism Assessment
Ulrike Schäfer, William Saakyan, Matthias Norden +5
AI methods promise to support autism spectrum condition (ASC) diagnostics in adults, a complex and time-consuming process, that is characterized by a shortage of specialized clinic…
Designing Value-Centered Consent Interfaces: A Mixed-Methods Approach to Support Patient Values in Data-Sharing Decisions
David Leimstädtner, Peter Sörries, Claudia Müller-Birn
In the digital health domain, ethical data collection practices are crucial for ensuring the availability of quality datasets that drive medical advancement. Data donation, allowin…
"Am I Private and If So, how Many?" - Communicating Privacy Guarantees of Differential Privacy with Risk Communication Formats
Daniel Franzen, Saskia Nuñez von Voigt, Peter Sörries +2
Decisions about sharing personal information are not trivial, since there are many legitimate and important purposes for such data collection, but often the collected data can reve…
Unfolding Values through Systematic Guidance: Conducting a Value-Centered Participatory Workshop for a Patient-Oriented Data Donation
David Leimstädtner, Peter Sörries, Claudia Müller-Birn
Routinely collected clinical patient data posits a valuable resource for data-driven medical innovation. Such secondary data use for medical research purposes is dependent on the p…
Coding IxD: Enabling Interdisciplinary Education by Sparking Reflection
Peter Sörries, Judith Glaser, Claudia Müller-Birn +2
Educating students from diverse disciplinary backgrounds is challenging. In this article, we report on our interdisciplinary course coding interaction and design (Coding IxD), whic…
Situated Case Studies for a Human-Centered Design of Explanation User Interfaces
Claudia Müller-Birn, Katrin Glinka, Peter Sörries +2
Researchers and practitioners increasingly consider a human-centered perspective in the design of machine learning-based applications, especially in the context of Explainable Arti…