@inproceedings{20b23d7eeec14950b2e2a9f8f554ceff,
title = "Modeling of honest signals for human robot interaction",
abstract = "Recent studies have shown that human beings unconsciously use signals that represent their thoughts and/or intentions when communicating with each other. These signals are known as honest signals. This study involves the use of a sociometer to capture multimodal data resulting from the interaction between humans. These data are then used to model the interaction using a multimodal hierarchical Dirichlet process hidden Markov model, which is then implemented in the robot. The model enables robots to generate honest signals and to interact in a natural manner.",
keywords = "Honest signals, Multimodal categorization, Robot behavior design, Unsupervised learning",
author = "Muhammad Attamimi and Yusuke Katakami and Kasumi Abe and Takayuki Nagai and Tomoaki Nakamura",
note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 11th Annual ACM/IEEE International Conference on Human-Robot Interaction, HRI 2016 ; Conference date: 07-03-2016 Through 10-03-2016",
year = "2016",
month = apr,
day = "12",
doi = "10.1109/HRI.2016.7451783",
language = "English",
series = "ACM/IEEE International Conference on Human-Robot Interaction",
publisher = "IEEE Computer Society",
pages = "415--416",
booktitle = "HRI 2016 - 11th ACM/IEEE International Conference on Human Robot Interaction",
address = "United States",
}