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Please use this identifier to cite or link to this item: http://hdl.handle.net/10119/14721

Title: Personalized Robot Emotion Representation through Retrieval of Memories
Authors: Dang, Thi Le Quyen
Jeong, Sungmoon
Chong, Nak Young
Keywords: human-robot interaction
robot emotion
developmental architecture
social sharing
social referencing
Issue Date: 2017-04
Publisher: IEEE
Magazine name: 2017 3rd International Conference on Control, Automation and Robotics (ICCAR)
Start page: 65
End page: 70
DOI: 10.1109/ICCAR.2017.7942662
Abstract: We present a robot emotion representation model by investigating the role of human-inspired social effects and memory retrieval process. Social referencing and social sharing are modeled as human guides to share knowledge and direct or influence robot emotion generation. The robot’s acquired knowledge is consolidated into a developmental memory architecture and used for future retrieval. This model enables robots interacting with their environment to learn from humans and form a human-like emotion generation process which helps to facilitate personalized human-robot interaction.
Rights: Copyright (C) 2017 IEEE. Thi Le Quyen Dang, Sungmoon Jeong, Nak Young Chong, 2017 3rd International Conference on Control, Automation and Robotics (ICCAR), 2017, 65-70. http://dx.doi.org/10.1109/ICCAR.2017.7942662
URI: http://hdl.handle.net/10119/14721
Material Type: author
Appears in Collections:b11-1. 会議発表論文・発表資料 (Conference Papers)

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