The Affective Loop: A Tool for Autonomous and Adaptive Emotional Human-Robot Interaction
The Affective Loop: A Tool for Autonomous and Adaptive Emotional Human-Robot Interaction
复制标题
情感循环：自主和自适应情感人机交互的工具
DOI：
10.1007/978-3-319-16841-8_23
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发表时间：
2014
期刊：
影响因子：
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通讯作者：
P. Sinčák
中科院分区：
文献类型：
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作者：
M. Vircíková;Gergely Magyar;P. Sinčák
本文提出了一种社会机器人的情感模型，其中机器人能够根据特定用户的需要和偏好进行行为适应。提出的方法与其他人与机器人互动的研究不同，因为这些研究通常使用的是“绿野仙踪”技术，即一个人远程操作机器人。另一方面，模拟的机器人不能进行个性化的行为，并按照预先编程的规则集行事。我们提供了一种在人-机器人协作场景中个性化情感人工行为的工具，其中人类情感识别、适当的机器人行为选择和机器人情感的表达起着关键作用。初步实验表明，在机器人激发孩子学习动机的场景下，个性化情感机器人行为可以达到更好的效果。我们相信，模仿人类如何以移情的方式相互作用的人-机器人界面最终可能导致机器人被更广泛的领域接受。
The paper presents an affective model for social robotics, where the robot is capable of behavior adaptation, in accordance with the needs and preferences of a particular user. The proposed approach differs from other studies in human-robot interaction as these usually have been using the ‘Wizard of Oz’ technique, where a person remotely operates a robot. On the other side, simulated robots are not able of personalized behaviors and behave according to the preprogrammed set of rules. We provide a tool to personalize affective artificial behaviors in cooperative human—robot scenarios, where human emotion recognition, appropriate robotic behavior selection and expression of robotic emotions play a key role. The preliminary experiments show that the personalized affective robotic behavior can achieve better results in a scenario in which a robot motivates children in learning. We believe that human—robot interfaces which mimic how humans interact with one another in an empathic way could ultimately lead to robots being accepted in the wider domain.