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基于情绪转换和个性模型的机器人情感表达生成。

Robotic Emotional Expression Generation Based on Mood Transition and Personality Model.

出版信息

IEEE Trans Cybern. 2013 Aug;43(4):1290-303. doi: 10.1109/TSMCB.2012.2228851.

DOI:10.1109/TSMCB.2012.2228851
PMID:26502437
Abstract

This paper presents a method of mood transition design of a robot for autonomous emotional interaction with humans. A 2-D emotional model is proposed to combine robot emotion, mood, and personality in order to generate emotional expressions. In this design, the robot personality is programmed by adjusting the factors of the five factor model proposed by psychologists. From Big Five personality traits, the influence factors of robot mood transition are determined. Furthermore, a method to fuse basic robotic emotional behaviors is proposed in order to manifest robotic emotional states via continuous facial expressions. An artificial face on a screen is a way to provide a robot with a humanlike appearance, which might be useful for human-robot interaction. An artificial face simulator has been implemented to show the effectiveness of the proposed methods. Questionnaire surveys have been carried out to evaluate the effectiveness of the proposed method by observing robotic responses to a user's emotional expressions. Preliminary experimental results on a robotic head show that the proposed mood state transition scheme appropriately responds to a user's emotional changes in a continuous manner.

摘要

本文提出了一种机器人情绪过渡设计方法,用于实现机器人与人类的自主情感交互。提出了一种二维情感模型,将机器人情感、情绪和个性结合起来,以生成情感表达。在这种设计中,通过调整心理学家提出的五因素模型的因素来编程机器人个性。从大五人格特质中,确定了机器人情绪过渡的影响因素。此外,提出了一种融合基本机器人情感行为的方法,以便通过连续的面部表情来表现机器人的情感状态。屏幕上的人工脸是为机器人提供类人外观的一种方式,这对于人机交互可能很有用。已经实现了人工脸模拟器,以展示所提出方法的有效性。通过观察机器人对用户情感表达的反应,进行了问卷调查,以评估所提出方法的有效性。在机器人头上进行的初步实验结果表明,所提出的情绪状态过渡方案能够以连续的方式适当响应用户的情绪变化。

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