The Brain Cognition and Brain Disease Institute, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, Guangdong 518055, China.
Institute of Robotics and Intelligent Manufacturing, the Chinese University of Hong Kong (Shenzhen), Shenzhen, Guangdong 518172, China.
Comput Intell Neurosci. 2023 Mar 7;2023:5960764. doi: 10.1155/2023/5960764. eCollection 2023.
Computational models of emotions can not only improve the effectiveness and efficiency of human-robot interaction but also coordinate a robot to adapt to its environment better. When designing computational models of emotions for socially interactive robots, especially for robots for people with special needs such as autistic children, one should take into account the social and communicative characteristics of such groups of people. This article presents a novel computational model of emotions called AppraisalCloudPCT that is suitable for socially interactive robots that can be adopted in autistic rehabilitation which, to the best of our knowledge, is the first computational model of emotions built for robots that can satisfy the needs of a special group of people such as autistic children. To begin with, some fundamental and notable computational models of emotions (e.g., OCC, Scherer's appraisal theory, PAD) that have deep and profound influence on building some significant models (e.g., PRESENCE, iGrace, xEmotion) for socially interactive robots are revisited. Then, a comparative assessment between our AppraisalCloudPCT and other five significant models for socially interactive robots is conducted. Great efforts have been made in building our proposed model to meet all of the six criteria for comparison, by adopting the appraisal theories on emotions, perceptual control theory on emotions, a component model view of appraisal models, and cloud robotics. Details of how to implement our model in a socially interactive robot we developed for autistic rehabilitation are also elaborated in this article. Future studies should examine how our model performs in different robots and also in more interactive scenarios.
情感计算模型不仅可以提高人机交互的有效性和效率，还可以协调机器人更好地适应环境。在为社交互动机器人设计情感计算模型时，特别是为自闭症儿童等特殊需求人群设计机器人时，应该考虑到这些人群的社会和交际特点。本文提出了一种新的情感计算模型，称为 AppraisalCloudPCT，它适用于社交互动机器人，可以应用于自闭症康复中。据我们所知，这是第一个为满足自闭症儿童等特殊人群需求而构建的机器人情感计算模型。首先，我们回顾了一些对构建一些重要模型（如 PRESENCE、iGrace、xEmotion）有深远影响的基本而显著的情感计算模型（如 OCC、Scherer 的评价理论、PAD）。然后，我们对我们的 AppraisalCloudPCT 与其他五个用于社交互动机器人的重要模型进行了比较评估。我们在构建我们的模型时做出了巨大的努力，通过采用情绪评价理论、情绪感知控制理论、评价模型的组件模型视图和云机器人，满足了所有六个比较标准。本文还详细阐述了如何在我们为自闭症康复开发的社交互动机器人中实现我们的模型。未来的研究应该检验我们的模型在不同的机器人和更多的交互场景中的表现。
