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Please use this identifier to cite or link to this item: http://hdl.handle.net/10119/15258

Title: Learning Human Behavior for Emotional Body Expression in Socially Assistive Robotics
Authors: Tuyen, Nguyen Tan Viet
Jeong, Sungmoon
Chong, Nak Young
Keywords: human-robot interaction
emotional body expression
imitation learning
Issue Date: 2017-06-28
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Magazine name: 2017 14th International Conference on Ubiquitous Robots and Ambient Intelligence (URAI)
Start page: 45
End page: 50
DOI: 10.1109/URAI.2017.7992882
Abstract: Generating emotional body expressions for socially assistive robots has been gaining increased attention to enhance the engagement and empathy in human-robot interaction. In this paper, we propose a new model of emotional body expression for the robot inspired by social and emotional development of infant from their parents. An infant is often influenced by social referencing, meaning that they perceive their parents' interpretation about emotional situations to form their own interpretation. Similar to the infant development case, robots can be designed to generate representative emotional behaviors using self-organized neural networks trained with various emotional behavior samples from human partners. We demonstrate the validity of our emotional behavior expression through a public human action dataset, which will facilitate the acquisition of emotional body expression of socially assistive robots.
Rights: This is the author's version of the work. Copyright (C) 2017 IEEE. 2017 14th International Conference on Ubiquitous Robots and Ambient Intelligence (URAI), 2017, 45-50. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
URI: http://hdl.handle.net/10119/15258
Material Type: author
Appears in Collections:b11-1. 会議発表論文・発表資料 (Conference Papers)

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