Applied Informatics Group

Flexible User-Robot Interaction

Three strands of research for the goal of more flexible HRI.

In the long-term, non-expert users should be able to tell their preferences and demands to a robot that assists them in a non-technical way. This requires a high degree of interactional flexibility. However, compared to human-human interaction, current human-robot (teaching/learning) interaction (HRI) is still very rigid. In this project, we work on making HRI more flexible in three main strands of research.

  • Together with the FLOWERS team lead by Pierre-Yves Oudeyer at INRIA Bordeaux - Sud-Ouest, we study how humans in unfamiliar, constrained situations (similar to HRI) negotiate meaning. We use a new experimental setup, the CoCo game.

    The CoCo game setup
  • In collaboration with Softbank Robotics Europe, we investigate how state-of-the-art machine learning algorithms cope with human feedback.
  • The goal of this research strand is to transfer the concept of pragmatic frames from developmental linguistics to HRI in a smart home environment as the cognitive service robotics apartment (CITEC project). In particular, we study the use of non-anthropomorphic system interaction signals in the context of pragmatic frames.

 

Recent Best Paper/Poster Awards

Goal Babbling of Acoustic-Articulatory Models with Adaptive Exploration Noise
Philippsen A, Reinhart F, Wrede B (2016)
International Conference on Development and Learning and on Epigenetic Robotics (ICDL-EpiRob) 
PUB | PDF

 

Are you talking to me? Improving the robustness of dialogue systems in a multi party HRI scenario by incorporating gaze direction and lip movement of attendees
Richter V, Carlmeyer B, Lier F, Meyer zu Borgsen S, Kummert F, Wachsmuth S, Wrede B (2016)
International Conference on Human-agent Interaction (HAI) 

 

"Look at Me!": Self-Interruptions as Attention Booster?
Carlmeyer B, Schlangen D, Wrede B (2016)
International Conference on Human Agent Interaction (HAI)
PUB | DOI

 

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