Effect of a Humanoid’s Active Role during Learning with Embodied Dialogue System
Proceedings of the Workshop "Towards Intelligent Social Robots: Social Cognitive Systems in Smart Environments" at the 26th IEEE International Symposium on Robot and Human Interactive Communication, RO-MAN 2017,
Editors: Amir Aly, Sascha Griffiths, Verena Nitsch, Tadahiro Taniguchi, Stefan Wermter, Adriana Tapus,
- Aug 2017
Associated documents :
When humanoid robots learn complex sensorimotor
abilities from interaction with the environment, often a human
experimenter is required. For a social companion robot, it is
desirable that the learning can also be assisted by non-expert
users. To achieve this aim, we present an embodied dialogue
system which enables a humanoid to take on an active role
during learning by guiding its user with verbal communication
and through the display of emotions. We suggest an experimental
setup for evaluating how the active role affects the learning
result and the subjective evaluation of the humanoid by human
participants.
@InProceedings{KNGW17,
author = {Kerzel, Matthias and Ng, Hwei Geok and Griffiths, Sascha and Wermter, Stefan},
title = {Effect of a Humanoid’s Active Role during Learning with Embodied Dialogue System},
booktitle = {Proceedings of the Workshop "Towards Intelligent Social Robots: Social Cognitive Systems in Smart Environments" at the 26th IEEE International Symposium on Robot and Human Interactive Communication, RO-MAN 2017},
editors = {Amir Aly, Sascha Griffiths, Verena Nitsch, Tadahiro Taniguchi, Stefan Wermter, Adriana Tapus},
number = {},
volume = {},
pages = {},
year = {2017},
month = {Aug},
publisher = {},
doi = {},
}