TRR 318 - Project C05: Creating explanations in collaborative human–machine knowledge exploration
Overview
Project C05 is concerned with developing the
foundations of systems that interactively support users in exploring a decision
domain to reach a decision that is explainable and accountable. The focus is on
modeling the use of interventional and counterfactual inferences over domain
knowledge in an explorative decision-making process. On this basis, a human
expert can then be made accountable for her/his decisions. Methodologically,
the project brings together semantic models that formalize domain knowledge, probabilistic
graphical models (both directed and undirected), and decision process models to
support generating both a reasonable decision and a good explanation for it at.
Key Facts
- Project type:
- Forschung
- Project duration:
- 07/2021 - 12/2025
More Information
Publications
Implementing a computational cognitive process model of medical diagnostic reasoning
D. Battefeld, S. Kopp, in: Proceedings of KogWis 2025: Conference of the German Cognitive Science Society, 2025.
A User Study Evaluating Argumentative Explanations in Diagnostic Decision Support
F. Liedeker, O. Sanchez-Graillet, M. Seidler, C. Brandt, J. Wellmer, P. Cimiano, in: n.d.
An Empirical Investigation of Users' Assessment of XAI Explanations: Identifying the Sweet-Spot of Explanation Complexity
F. Liedeker, C. Düsing, M. Nieveler, P. Cimiano, in: 2024.
ASCODI: An XAI-based interactive reasoning support system for justifiable medical diagnosing
D. Battefeld, F. Liedeker, P. Cimiano, S. Kopp, in: Proceedings of the 1st Workshop on Multimodal, Affective and Interactive EXplainable AI (MAI-XAI), 2024.
Revealing the Dynamics of Medical Diagnostic Reasoning as Step-by-Step Cognitive Process Trajectories
Show all publications
D. Battefeld, S. Mues, T. Wehner, P. House, C. Kellinghaus, J. Wellmer, S. Kopp, in: Proceedings of the 46th Annual Conference of the Cognitive Science Society, 2024.