HiAvA investigates and develops technologies for enabling multi-user applications in Social VR, mitigating the challenges of social distancing. The goal is to improve upon current solutions by maintaining immersion and social presence even on hardware devices that only allow for limited tracking or rendering. The resulting system should exceed the capabilities of current video communication […]

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A key challenge for interactive artificial agents is to produce communicative multimodal behavior that is communicatively effective and robust in a given, dynamically evolving interaction context. This project investigates the automatic generation of speech and gesture. We develop cognitive, generative models that incorporate information about the realtime interaction context to allow for adaptive multimodal behavior that can steer […]

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The Transregional Collaborative Research Center (TRR 318) „Constructing Explainability“ investigates how explanations of algorithmic decisions can be jointly constructed by the explainer and the explainee. The project C05 investigates how human decision makers and intelligent systems can collaboratively explore a decision problem to make a decision that is accountable and hence explainable. The goal is […]

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The Transregional Collaborative Research Center (TRR 318) „Constructing Explainability“ investigates how explanations of algorithmic decisions can be made more efficient by constructing them jointly by the explainer and the explainee. The project A01 “Adaptive explanation generation” investigates the cognitive and interactive mechanisms of adaptive explanations. The goal of our work is to develop a dynamic, […]

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Autonomous systems using artificial intelligence (AI) to communicate with humans will soon be a part of everyday life. The increasing availability and deployment of such systems can have implications for humans and society at different levels. This project studies those implications with regard to users’ (1) understanding of AI algorithms, (2) communication with machines, and […]

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The COMPAS project aims to develop a computational cognitive model of the execution and control of situated action in an embodied cognitive architecture that allows for (1) a detailed explanation, in computational terms, of the mechanisms and processes underlying the sense of agency; (2) simulation of situated actions along with the subjectively perceived sense of […]

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This projects explores different strategies of how artificial systems could be equipped with a Theory of Mind, i.e. being able to infer hidden mental states of other agents from observable behavior. We are developing models which can learn from past encounters with agents to form models capable of performing such mentalizing in a satisficing way, […]

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