Projekte von Ronja Hannebohm, M.A.
TRR 318-2 - Project B01: A dialog-based approach to explaining machine-learning models
B01 explores how dialog-based explanations of machine learning (ML) models function in real-world organizational contexts, accounting for organizational structures, roles, and communication styles, focusing on the predictive policing domain. An experimental evaluation showed that dialog-based explanations significantly enhance users’ understanding ...
Laufzeit: 01/2026 - 06/2029
TRR 318-2 - Project A06: Explaining the multimodal display of stress in clinical explanations
We investigated the influence of stress and mental health conditions in explanatory settings. We determined how signals related to understanding differ intra-individually under stress and inter-individually for people with social interaction conditions. In the second phase, we will develop techniques to train clinicians to detect signs of stress ...
Laufzeit: 01/2026 - 06/2029
TRR 318-2 - Project A04: Co-constructing duality-enhanced explanations
Technical artifacts can be explained via their Architecture (e.g., structure and mechanisms) and their Relevance (e.g., functions and goals)—summarized as Duality. We will analyze human-human explanations of digital artifacts with respect to duality-related monitoring and multimodal scaffolding and how it is tailored to EEs’ social roles, and ...
Laufzeit: 01/2026 - 06/2029
TRR 318-2 - Project C05: Creating explanations in collaborative human–machine knowledge exploration
C05 investigates how humans and AI systems can jointly explore a decision space to make an explainable and well-founded decision. We focus on diagnostic decision-making in medicine and combine empirical studies on physicians' exploration strategies and cognitive biases, as well as on assessments of ex-planations and argument strength, with the ...
Laufzeit: 01/2026 - 06/2029
TRR 318-2 - Project C04: Metaphors as an explanation tool
Explanations of abstract explananda (such as AI systems) need metaphors to relate new, abstract knowledge to more concrete concepts. In the first phase, we studied how metaphors highlight and hide aspects to foster understanding, how to model their agency structure, and how they are used for explaining. In the second, we will investigate how to ...
Laufzeit: 01/2026 - 06/2029
TRR 318-2 - Project C03: Interpretable machine learning—Explaining change
C03 develops methods to explain how and why machine learning models adapt over time. Our project makes AI systems more transparent in dynamic settings by designing efficient, expressive explanations. This includes novel approaches for real-time explanation and higher-order Shapley interactions. In the second funding period, we aim for ex-ante ...
Laufzeit: 01/2026 - 06/2029
TRR 318-2 - Project C02: Interactive learning of explainable, situation-adapted decision models
C02 aims to optimize ML-based decision support systems and human-AI interaction in order to improve decision-making. We focus on explainable and transparent models that take the decision context into account. We are focusing on prescriptive decision-making with partial feedback, where we not only consider the long-term impact of decisions but also ...
Laufzeit: 01/2026 - 06/2029
TRR 318-2 - Project C01: Explanations for healthy distrust in large language models
Since ML models have limitations, human ability to question and distrust their decisions is crucial for human-AI-interaction. C01 established a common terminology for distrust, demonstrated that distrust is not easily fostered, and developed novel machine learning algorithms to identify and explain model uncertainty. We will now develop ...
Laufzeit: 01/2026 - 06/2029
TRR 318-2 - Project WIKO: Questions about explainable technology
WIKO integrates AI explanation research with public outreach, now focusing on advancing eXplainable AI (XAI) Literacy to foster understanding and reflection on transparent AI. Through self conceptualized and conducted Co-Construction workshops (CCWS), participants from different public sectors actively engage with AI systems, promoting critical ...
Laufzeit: 01/2026 - 06/2029
TRR 318-2 - Project INF: Retrieval-augmented information provision
INF provides foundations for all projects. These include services and infrastructure for data access, evaluation, and management as well as cross-cutting research questions. In the first funding period, the focus was on assessing the quality of explanations, modeling explanatory dialog sequences as well as ontology and tool development. In the ...
Laufzeit: 01/2026 - 06/2029