人形机器人混合表情脸的设计与测试

D. Bazo, R. Vaidyanathan, A. Lenz, C. Melhuish
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引用次数: 32

摘要

BERT2社交机器人是一个探索人机互动的平台,目前正在布里斯托尔机器人实验室建造。本文介绍了机器人面部的工作,一个由塑料面板和液晶显示器组成的混合面部,以及我们在这个多功能平台上实现的面部表情。我们报告了情感空间的两种表征的实现,每一种表征都将潜在情绪的空间映射到特定的面部特征参数,以及一系列人机交互实验的结果,以表征机器人原型面部表情的可识别性。测试对象对快乐、惊讶和悲伤的面部表情的识别能力很强(几乎100%的识别率)。然而,被试倾向于将厌恶和害怕的表情与其他表情混淆,正确率分别为21.1%和52.6%。未来的工作包括增加更真实的眼球运动,以增强对某些反应的识别。这些结果表明,具有情感空间面部表情实现的混合人脸能够提供易于被人类识别的情感传递。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Design and testing of a hybrid expressive face for a humanoid robot
The BERT2 social robot, a platform for the exploration of human-robot interaction, is currently being built at the Bristol Robotics Laboratory. This paper describes work on the robot's face, a hybrid face composed of a plastic faceplate and an LCD display, and our implementation of facial expressions on this versatile platform. We report the implementation of two representations of affect space, each of which map the space of potential emotions to specific facial feature parameters and the results of a series of human-robot interaction experiments to characterize the recognizability of the robot's archetypal facial expressions. The tested subjects' recognition of the implemented facial expressions for happy, surprised, and sad was robust (with nearly 100% recognition). Subjects, however, tended to confuse the expressions for disgusted and afraid with other expressions, with correct recognition rates of 21.1% and 52.6% respectively. Future work involves the addition of more realistic eye movements for stronger recognition of certain responses. These results demonstrate that a hybrid face with affect space facial expression implementations can provide emotive conveyance readily recognized by human beings.
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