Zobrazeno 1 - 10
of 98
pro vyhledávání: '"Müller-Birn, Claudia"'
In the digital health domain, ethical data collection practices are crucial for ensuring the availability of quality datasets that drive medical advancement. Data donation, allowing patients to share their clinical data for secondary research use, pr
Externí odkaz:
http://arxiv.org/abs/2407.03808
Explanations in XAI are typically developed by AI experts and focus on algorithmic transparency and the inner workings of AI systems. Research has shown that such explanations do not meet the needs of users who do not have AI expertise. As a result,
Externí odkaz:
http://arxiv.org/abs/2307.09369
Autor:
Glinka, Katrin, Müller-Birn, Claudia
Just as other disciplines, the humanities explore how computational research approaches and tools can meaningfully contribute to scholarly knowledge production. We approach the design of computational tools through the analytical lens of 'human-AI co
Externí odkaz:
http://arxiv.org/abs/2306.12843
Autor:
Franzen, Daniel, von Voigt, Saskia Nuñez, Sörries, Peter, Tschorsch, Florian, Müller-Birn, Claudia
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 reveal sensitive information about individuals. Privacy-preserving technol
Externí odkaz:
http://arxiv.org/abs/2208.10820
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 patient's consent. To gain an understanding of the patients' values and
Externí odkaz:
http://arxiv.org/abs/2207.14681
Educating students from diverse disciplinary backgrounds is challenging. In this article, we report on our interdisciplinary course coding interaction and design (Coding IxD), which is designed for computer science and design students alike. This cou
Externí odkaz:
http://arxiv.org/abs/2205.02713
Autor:
Franzen, Daniel, von Voigt, Saskia Nuñez, Sörries, Peter, Tschorsch, Florian, Müller-Birn, Claudia
Mobility data is essential for cities and communities to identify areas for necessary improvement. Data collected by mobility providers already contains all the information necessary, but privacy of the individuals needs to be preserved. Differential
Externí odkaz:
http://arxiv.org/abs/2204.04061
Autor:
Benjamin, Jesse Josua, Kinkeldey, Christoph, Müller-Birn, Claudia, Korjakow, Tim, Herbst, Eva-Maria
Publikováno v:
Proceedings of the ACM on Human-Computer Interaction, Volume 6, Issue GROUP, January 2022
During a research project in which we developed a machine learning (ML) driven visualization system for non-ML experts, we reflected on interpretability research in ML, computer-supported collaborative work and human-computer interaction. We found th
Externí odkaz:
http://arxiv.org/abs/2109.11849
Publikováno v:
Kultur und Informatik: Extended Reality. Berlin: vwh (2020)
We present an exploratory case study describing the design and realisation of a ''pure mixed reality'' application in a museum setting, where we investigate the potential of using Microsoft's HoloLens for object-centred museum mediation. Our prototyp
Externí odkaz:
http://arxiv.org/abs/2106.13494