论文标题
对机器人和情感的调查：情绪互动的分类和模型
A Survey of Robotics and Emotion: Classifications and Models of Emotional Interaction
论文作者
论文摘要
由于情感在机器人研究中起着越来越多的作用，因此开发方法来分析和比较广泛的方法至关重要。为此，我们介绍了包括机器人技术和情感在内的1427 IEEE和ACM出版物的调查。这包括情绪输入分析，机器人情绪表达，情绪相互作用的研究和内部处理模型的广泛分类。然后，我们专注于232篇论文，这些论文呈现了情感内部处理，例如利用人类的情感来更好地互动或将环境刺激变成用于机器人路径计划的情感动力。我们对232篇论文进行了不断的比较分析，并达到了三个广泛的分类指标；情绪智力，情感模型和实施，每个模型和实施包括两个或三个子类别。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，情感和平台的目的。我们的结果表明，各种各样的研究领域，在很大程度上由情绪在系统中的作用分开，以改善相互作用或改善机器人性能。我们还提供了许多未来的研究机会，并描述了所有出版物中常见的内在挑战。
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.
