机器人与情感：情感交互的分类与模型
A Survey of Robotics and Emotion: Classifications and Models of Emotional Interaction
摘要：
随着情感在机器人研究中发挥越来越大的作用，开发方法来分析和比较各种方法至关重要。为此，我们提出了一个调查1427 IEEE和ACM出版物，包括机器人和情感。这包括情感输入分析，机器人情感表达，情感交互研究和内部处理模型的广泛分类趋势。然后，我们专注于232篇论文，提出了内部处理的情绪，如使用人类的情感更好的互动或把环境刺激到情感驱动机器人路径规划。我们对232篇论文进行了持续的比较分析，得出了三个广泛的分类指标：情绪智力，情绪模型和实施，每个都包括两个或三个子类别。这些子类别涉及所使用的算法、情感映射、历史、情感模型、情感类别、情感的作用、情感的目的和平台。我们的研究结果显示了一个不同的研究领域，主要是由情感在系统中的作用，无论是改善互动，或改善机器人的性能。我们还提出了多个未来的研究机会，并描述了所有出版物中常见的内在挑战。
英文摘要：
As emotion plays a growing role in robotic research it is crucial to develop methods to analyze and compare among the wide range of approaches. To this end we present a survey of 1427 IEEE and ACM publications that include robotics and emotion. This includes broad categorizations of trends in emotion input analysis, robot emotional expression, studies of emotional interaction and models for internal processing. We then focus on 232 papers that present internal processing of emotion, such as using a human's emotion for better interaction or turning environmental stimuli into an emotional drive for robotic path planning. We conducted constant comparison analysis of the 232 papers and arrived at three broad categorization metrics; emotional intelligence, emotional model and implementation, each including two or three subcategories. The subcategories address the algorithm used, emotional mapping, history, the emotional model, emotional categories, the role of emotion, the purpose of emotion and the platform. Our results show a diverse field of study, largely divided by the role of emotion in the system, either for improved interaction, or improved robotic performance. We also present multiple future opportunities for research and describe intrinsic challenges common in all publications.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
