"Can You Guess My Moves?: Playing Charades with a Humanoid Robot Employing Mutual Learning with Emotional Intelligence

"Can You Guess My Moves?: Playing Charades with a Humanoid Robot Employing Mutual Learning with Emotional Intelligence
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DOI:
10.1145/3568294.3580170
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发表时间:
2023-03
期刊:
Companion of the 2023 ACM/IEEE International Conference on Human-Robot Interaction
影响因子:
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通讯作者:
Baijun Xie;C. Park
Baijun Xie;C. Park
中科院分区:
其他
文献类型:
--
作者:
Baijun Xie;C. Park

文献摘要

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社交游戏在人类互动中至关重要,可以增加社会联系,减轻压力,缓解焦虑。随着机器人技术的进步,社交机器人可以利用这个角色来协助临床和医疗保健目的的人机交互场景。然而,机器人智能仍然需要进一步发展,以适应人类互动中广泛的社会行为和环境。在本文中,我们提出了我们的机器人智能框架与相互学习的范例,在其中我们应用基于情感识别和行为感知的深度学习,通过这种深度学习,机器人通过字谜的互动游戏来学习人类的动作和上下文。此外,我们还设计了一个基于手势的社交游戏,为用户提供一个更具同理心和吸引力的社交机器人。我们还创建了一个自定义行为数据库,其中包含所提议的社交游戏的上下文行为。进行了一项试点研究,参与者年龄从12岁到19岁不等,进行初步评估。
Social play is essential in human interactions, increasing social bonding, mitigating stress, and relieving anxiety. With advancements in robotics, social robots can employ this role to assist in human-robot interaction scenarios for clinical and healthcare purposes. However, robotic intelligence still needs further development to match the wide spectrum of social behaviors and contexts in human interactions. In this paper, we present our robotic intelligence framework with a mutual learning paradigm in which we apply deep learning based on emotion recognition and behavior perception, through which the robot learns human movements and contexts through the interactive game of charades. Furthermore, we designed a gesture-based social game to provide a more empathetic and engaging social robot for the user. We also created a custom behavior database containing contextual behaviors for the proposed social games. A pilot study was conducted with participants ranging in age from 12 to 19 for a preliminary evaluation.