Emotionally expressive dynamic physical behaviors in robots
Emotionally expressive dynamic physical behaviors in robots
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DOI：
10.1016/j.ijhcs.2015.01.006
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发表时间：
2015-06-01
影响因子：
5.4
通讯作者：
Weinberg, Gil
中科院分区：
文献类型：
--
作者：
Bretan, Mason;Hoffman, Guy;Weinberg, Gil
为了让社交机器人以适当的方式对人类做出反应，它们需要使用适当的情感展示，揭示潜在的情绪智力。我们提出了一种用于机器人的人工情感智能系统，包括生成和感知两个方面。在生成性方面，我们探索了一个抽象的、没有脸的、类似生物的机器人的表达能力，几乎没有自由度，缺乏面部表情和复杂的类人设计，这在情感表达的机器人中经常存在。我们通过一系列实验验证了我们的系统：在一项研究中，我们发现在动画和静态情感表情的分类上有优势，在动画和静态表情和物理表情和屏幕上表情的效价和唤醒估计以及个人偏好评级方面都有优势。在第二个实验中，我们证明了我们的参数生成的表情变量与预期的用户情感感知相关。将生成系统与自然语言情感分析的感知部分相结合，我们在第三个实验中表明，与任意选择的可比运动参数相比，我们自动生成的情感反应使参与者表现出更多参与和享受的迹象。(C)2015爱思唯尔有限公司。保留所有权利。
For social robots to respond to humans in an appropriate manner, they need to use apt affect displays, revealing underlying emotional intelligence. We present an artificial emotional intelligence system for robots, with both a generative and a perceptual aspect. On the generative side, we explore the expressive capabilities of an abstract, faceless, creature-like robot, with very few degrees of freedom, lacking both facial expressions and the complex humanoid design found often in emotionally expressive robots. We validate our system in a series of experiments: in one study, we find an advantage in classification for animated vs static affect expressions and advantages in valence and arousal estimation and personal preference ratings for both animated vs static and physical vs on-screen expressions. In a second experiment, we show that our parametrically generated expression variables correlate with the intended user affect perception. Combining the generative system with a perceptual component of natural language sentiment analysis, we show in a third experiment that our automatically generated affect responses cause participants to show signs of increased engagement and enjoyment compared with arbitrarily chosen comparable motion parameters. (C) 2015 Elsevier Ltd. All rights reserved.