人机交互中增强共情的机器人面部表情框架

Ung Park, Minso Kim, Youngeun Jang, GiJae Lee, Kanggeon Kim, Igil Kim, Jong-suk Choi
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引用次数: 4

摘要

社交机器人基于社交智能与人类进行交互,其相关应用正在跨领域开发,并日益融入现代社会。在这方面,社交智能和互动是社交机器人的关键词。社交智力指的是控制与他人互动或思想和感情的能力;原始共情,即通过感知情感信号而产生共情的能力,是社会智能的组成部分之一,本研究将其应用于机器人。我们提出,如果社交机器人可以根据用户的情绪状态创造面部表情,则可以提高社交机器人的移情能力。此外,我们提出了一个机器人面部表情的框架。这些面部表情可以在各种社交机器人平台中重复使用,以实现这样的策略。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Robot Facial Expression Framework for Enhancing Empathy in Human-Robot Interaction
A social robot interacts with humans based on social intelligence, for which related applications are being developed across diverse fields to be increasingly integrated in modern society. In this regard, social intelligence and interaction are the keywords of a social robot. Social intelligence refers to the ability to control interactions or thoughts and feelings of relationships with other people; primal empathy, which is the ability to empathize by perceiving emotional signals, among the components of social intelligence was applied to the robot in this study. We proposed that the empathic ability of a social robot can be improved if the social robot can create facial expressions based on the emotional state of a user. Moreover, we suggested a framework of facial expressions for robots. These facial expressions can be repeatedly used in various social robot platforms to achieve such a strategy.
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