Personalized robot emotion representation through retrieval of memories

Thi Le Quyen Dang, Sungmoon Jeong, Nak Young Chong

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Scopus citations

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.

Original languageEnglish
Title of host publication2017 3rd International Conference on Control, Automation and Robotics, ICCAR 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages65-70
Number of pages6
ISBN (Electronic)9781509060870
DOIs
StatePublished - 7 Jun 2017
Event3rd International Conference on Control, Automation and Robotics, ICCAR 2017 - Nagoya, Japan
Duration: 22 Apr 201724 Apr 2017

Publication series

Name2017 3rd International Conference on Control, Automation and Robotics, ICCAR 2017

Conference

Conference3rd International Conference on Control, Automation and Robotics, ICCAR 2017
Country/TerritoryJapan
CityNagoya
Period22/04/1724/04/17

Keywords

  • Developmental architecture
  • Human-robot interaction
  • Robot emotion
  • Social referencing
  • Social sharing

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