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Please use this identifier to cite or link to this item: http://hdl.handle.net/10119/16206

Title: Robot Social Emotional Development through Memory Retrieval
Authors: Bui, Ha-Duong
Dang, Thi Le Quyen
Chong, Nak Young
Issue Date: 2019-11
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Magazine name: 2019 7th International Conference on Robot Intelligence Technology and Applications (RiTA)
Start page: 46
End page: 51
DOI: 10.1109/RITAPP.2019.8932912
Abstract: Robot emotion representation is gaining increasing attention to facilitate long-term human-robot interaction (HRI) in recent years. In particular, human-like robot emotion elicited through HRI is of great use in creating trust between humans and robots. In attempting to represent robot emotions that lead to gaining social acceptance, psychological studies of human emotion have been extensively performed. Among the various factors that affect the way people express their emotional competencies, we conjecture that two factors, social interaction and experience, can be considered important to elicit human emotions, and therefore can be used to represent robot emotions. We believe that social and developmental interaction paradigms, such as social sharing and social referencing, can shape robot emotions toward promoting social acceptance. Besides, the robot’s previous experience can be a key factor contributing to robot personality formation and development. In this paper, we not only focus on the modeling of two eliciting factors affecting the formation of robot emotion but also examine the decline of memory retention over time. Specifically, the relationship between emotion and memory is investigated to design a filter for the memory consolidation process and memory forgetting mechanism. The mechanism is used to enhance robot memory performance based on emotional salience and time parameters. Experiments were performed with a humanoid robot Pepper having verbal and non-verbal interactions with 24 human subjects. Participants rate their perception of the robot in terms of human-likeness, likeability, safety, and emotional expressions through a questionnaire. The results showed that most of the participants enjoyed interacting with the robot and they wished they could have more interactions in the future. They perceived safety and responded favorably toward the robot emotional expressions.
Rights: This is the author's version of the work. Copyright (C) 2019 IEEE. 2019 7th International Conference on Robot Intelligence Technology and Applications (RiTA), 2019, 46-51. 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/10119/16206
Material Type: author
Appears in Collections:b11-1. 会議発表論文・発表資料 (Conference Papers)

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