46 citations · 73 across the 8 of their papers we have counts for
8 papers
Augmented Co-Speech Gesture Generation: Including Form and Meaning Features to Guide Learning-Based Gesture Synthesis
Hendric Voß, Stefan Kopp
Due to their significance in human communication, the automatic generation of co-speech gestures in artificial embodied agents has received a lot of attention. Although modern deep…
AQ-GT: a Temporally Aligned and Quantized GRU-Transformer for Co-Speech Gesture Synthesis
Hendric Voß, Stefan Kopp
The generation of realistic and contextually relevant co-speech gestures is a challenging yet increasingly important task in the creation of multimodal artificial agents. Prior met…
Addressing Data Scarcity in Multimodal User State Recognition by Combining Semi-Supervised and Supervised Learning
Hendric Voß, Heiko Wersing, Stefan Kopp
Detecting mental states of human users is crucial for the development of cooperative and intelligent robots, as it enables the robot to understand the user's intentions and desires…
Towards autonomous artificial agents with an active self: modeling sense of control in situated action
Sebastian Kahl, Sebastian Wiese, Nele Russwinkel +1
In this paper we present a computational modeling account of an active self in artificial agents. In particular we focus on how an agent can be equipped with a sense of control and…
Resonating Minds -- Emergent Collaboration Through Hierarchical Active Inference
Jan Pöppel, Sebastian Kahl, Stefan Kopp
Working together on complex collaborative tasks requires agents to coordinate their actions. Doing this explicitly or completely prior to the actual interaction is not always possi…
Satisficing Mentalizing: Bayesian Models of Theory of Mind Reasoning in Scenarios with Different Uncertainties
Jan Pöppel, Stefan Kopp
The ability to interpret the mental state of another agent based on its behavior, also called Theory of Mind (ToM), is crucial for humans in any kind of social interaction. Artific…