Wirksamkeit von scaling up Maßnahmen der personalen und materialen Strategie
Early childhood mathematics education is an integral component of the vocational training of early childhood educators. To support vocational school teachers in the high-quality implementation of this field in their practice the professional development course ‘EmMa-Fachschule’ (early childhood educators do mathematics – vocational school) ...
Duration: 07/2021 - 10/2025
TRR 318 - Constructing Explainability
In unserer digitalen Gesellschaft nehmen die algorithmischen Ansätze (wie das maschinelle Lernen) rasant an Komplexität zu. Diese erschwert es den Bürger:innen, die Assistenz nachzuvollziehen und die von Algorithmen vorgeschlagenen Entscheidungen zu akzeptieren. Als Antwort auf diese gesellschaftliche Herausforderung hat die Forschung begonnen, ...
Duration: 07/2021 - 12/2025
TRR 318 - Project A01: Adaptive explanation generation
While explaining something, people generally take their conversation partner’s reactions into account and adapt their explanation accordingly. In Project A01, researchers from linguistics, psychology, and computer science are studying two components of this adjustment: cognitive adaptivity and interactive adaptivity. In cognitive adaptivity, the ...
Duration: 07/2021 - 12/2025
TRR 318 - Project A02: Monitoring the understanding of explanations
When something is being explained to someone, the explainee signals their understanding – or lack thereof – to the explainer with verbal expressions and other non-verbal means of communication, such as gestures and facial expressions. By nodding, the explainee can signal that they have understood. Nodding, however, can also be meant as a request to ...
Duration: 07/2021 - 12/2025
TRR 318 - Project A03: Co-constructing explanations with emotional alignment between AI-explainer and human explainee
Emotional reactions in social interactions are unavoidable. The underlying assumption of Project A03 is that emotional cues by the explainee are an important feedback for the explainer. Also, emotions bias the human process of understanding which is reflected in the questions that an explainee asks. Therefore, the investigations will focus on how ...
Duration: 07/2021 - 12/2025
TRR 318 - Project A04: Integrating the technical model into the partner model in explanations of digital artifacts
Project A04 investigates the different perspectives on the contents of explanations, i.e. what an explanation is about, and how they may change in the course of an explanatory interactive dialogue. An explanation about a technical artifact (which might be a hammer as well as a digital game) can encompass two different perspectives: On the one hand, ...
Duration: 07/2021 - 12/2025
TRR 318 - Project A05: Contextualized and online parametrization of attention in human–robot explanatory dialog
In Project A05, researchers from the areas of linguistics, psychology, and computer science are investigating attention in human-robot explanatory dialog. They are addressing questions including: where do humans focus their attention when a robot explains a task to them? How can robots direct their counterpart’s attention to achieve the goal of the ...
Duration: 07/2021 - 12/2025
TRR 318 - Project B01: A dialog-based approach to explaining machine learning models
In Project B01, researchers are working on an artificial intelligence (AI) based system that can properly respond to questions at the level of language. In medicine, for example, the system should be able to explain a proposed treatment to a doctor and respond to patients’ questions and concerns regarding their treatment plan. The computer ...
Duration: 07/2021 - 12/2025
TRR 318 - Project C01: Healthy distrust in explanations
The focus is on crucial overarching properties of decisions and explanations. The aim is to investigate the important question of how a person’s critical attitude towards an AI system can be supported by fostering a healthy distrust in intelligent systems, and whether and how this attitude can be reinforced by means of explainable machine learning ...
Duration: 07/2021 - 12/2025
TRR 318 - Project C02: Interactive learning of explainable, situation-adapted decision models
The focus of Project C02 investigates a novel approach through which the space of possible models explaining a certain decision can be explored interactively by a user until a model is found that satisfies the needs of the user in terms of the trade-off between accuracy and model complexity. The project defines and explores a refinement relation ...
Duration: 07/2021 - 12/2025