Applied Informatics Group

Tutoring Scenarios

Why do we study tutoring?
Learning in a social context cannot be considered a one-sided process. We look at complex interaction systems. Therefore, we study tutoring situations from sender as well as recipient side.


Motionese Setting


For robotic agents, tutoring enables direct learning.
We hope to get some ideas to help a robot to interact with humans in a more natural way.


Robot directed Interaction


So that in the future a direct learning for a humane explanation is possible for a robot.
ICub Smilling


There is a lot of work to do such as:
detecting the time slots in which the important tutoring is going on (Tutoring Spotter)
keep an interaction going, with a feedback (Feedback System)
get the inside structure of the tutored content (Acoustic Packaging)

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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