Emotional Bodily Expressions for Culturally Competent Robots through Long Term Human-Robot Interaction

Generating emotional bodily expressions for culturally competent robots has been gaining increased attention to enhance the engagement and empathy between robots and humans in a multi-culture society. In this paper, we propose an incremental learning model for selecting the user's representativ...

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Bibliographic Details
Published in2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) pp. 2008 - 2013
Main Authors Viet Tuyen, Nguyen Tan, Jeong, Sungmoon, Chong, Nak Young
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.10.2018
Subjects
Collision avoidance
Neurons
Robot kinematics
Self-organizing feature maps
Training
Trajectory
Online AccessGet full text
ISSN2153-0866
DOI10.1109/IROS.2018.8593974

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Summary:Generating emotional bodily expressions for culturally competent robots has been gaining increased attention to enhance the engagement and empathy between robots and humans in a multi-culture society. In this paper, we propose an incremental learning model for selecting the user's representative or habitual emotional behaviors which place emphasis on individual users' cultural traits identified through long term interaction. Furthermore, a transformation model is proposed to convert the obtained emotional behaviors into a specific robot's motion space. To validate the proposed approach, the models were evaluated by two example scenarios of interaction. The experimental results confirmed that the proposed approach endows a social robot with the capability to learn emotional behaviors from individual users, and to generate its emotional bodily expressions. It was also verified that the imitated robot motions are rated emotionally acceptable by the demonstrator and recognizable by the subjects from the same cultural background with the demonstrator.
ISSN:2153-0866
DOI:10.1109/IROS.2018.8593974