Robots and emotion: a survey of trends, classifications, and forms of interaction
Robots and emotion: a survey of trends, classifications, and forms of interaction
复制标题
DOI：
10.1080/01691864.2021.1957014
复制
发表时间：
2021-07
影响因子：
2
通讯作者：
Richard J. Savery;Gil Weinberg
中科院分区：
文献类型：
--
作者：
Richard J. Savery;Gil Weinberg
使用情感来驱动机器人交互在一系列用例中继续增长，从社交机器人到提高生存能力。然而，这些努力仍然是相互孤立的，不容易在论文和项目之间进行比较。为此，对1427份IEEE和ACM出版物进行了广泛的调查，涵盖了机器人和情感。这项调查首先对主要趋势进行了广泛的分类，涵盖了情感投入和情感产出。随后对232篇论文进行了扩展分析，重点关注情绪的内部处理，其中情绪通过某种算法处理，而不仅仅是输入或输出。从这个分析中，发展出三大类：情绪智力，情绪模型和实施。情绪智力捕捉处理情绪的方式，包括子类别：算法，映射和历史。情感模型类别捕获情感类别和使用的情感数量，而实现类别跟踪角色，目的和平台。本文最后总结了通过过程发现的关键特征，未来的机会，并讨论了情感和机器人相互作用所带来的内在挑战。图形摘要
The use of emotion to drive robotic interaction continues to grow across a range of use cases, from social robotics to increased survivability. Nevertheless, these efforts remain isolated from each other and are not easily compared between papers and projects. To this end an extensive survey of 1427 IEEE and ACM publications was conducted, covering robotics and emotion. The survey first resulted in broad categorizations of key trends covering emotional input and output. This was followed by an extended analysis on 232 papers that focused on the internal processing of emotion, where emotion was handled through some kind of algorithm and not just as an input or output. From this analysis, three broad categories were developed: emotional intelligence, emotional model, and implementation. Emotional intelligence captured the manner in which emotion was handled and included the subcategories: algorithm, mapping, and history. The emotional model category captured the emotion categories and number of emotions used, while the implementation category tracked the role, purpose, and platform. This paper concludes with a summary of key features discovered through the process, future opportunities, and a discussion of the intrinsic challenges emerging from the interaction of emotion and robotics. GRAPHICAL ABSTRACT