Search Results for author: Stefan Kopp

Found 12 papers, 0 papers with code

Addressing Data Scarcity in Multimodal User State Recognition by Combining Semi-Supervised and Supervised Learning

no code implementations8 Feb 2022 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.

Machine Learning

Towards autonomous artificial agents with an active self: modeling sense of control in situated action

no code implementations10 Dec 2021 Sebastian Kahl, Sebastian Wiese, Nele Russwinkel, Stefan Kopp

In particular we focus on how an agent can be equipped with a sense of control and how it arises in autonomous situated action and, in turn, influences action control.

Decision Making

Resonating Minds -- Emergent Collaboration Through Hierarchical Active Inference

no code implementations2 Dec 2021 Jan Pöppel, Sebastian Kahl, Stefan Kopp

The results indicate that belief resonance and active inference allow for quick and efficient agent coordination, and thus can serve as a building block for collaborative cognitive agents.

Satisficing Mentalizing: Bayesian Models of Theory of Mind Reasoning in Scenarios with Different Uncertainties

no code implementations23 Sep 2019 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.

A predictive processing model of perception and action for self-other distinction

no code implementations23 Oct 2018 Sebastian Kahl, Stefan Kopp

During interaction with others, we perceive and produce social actions in close temporal distance or even simultaneously.

Enabling robust and fluid spoken dialogue with cognitively impaired users

no code implementations WS 2017 Ramin Yaghoubzadeh, Stefan Kopp

We present the flexdiam dialogue management architecture, which was developed in a series of projects dedicated to tailoring spoken interaction to the needs of users with cognitive impairments in an everyday assistive domain, using a multimodal front-end.

Dialogue Management Management +1

ALICO: a multimodal corpus for the study of active listening

no code implementations LREC 2014 Hendrik Buschmeier, Zofia Malisz, Joanna Skubisz, Marcin Wlodarczak, Ipke Wachsmuth, Stefan Kopp, Petra Wagner

The Active Listening Corpus (ALICO) is a multimodal database of spontaneous dyadic conversations with diverse speech and gestural annotations of both dialogue partners.

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