Affective robotics research aims to better understand human social and emotional signals to improve human-robot interaction (HRI), and has been widely used during the last decade in multiple application fields. Past works have demonstrated, indeed, the potential of using affective robots (i.e., that can recognize, or interpret, or process, or simulate human affects) for healthcare applications, especially wellbeing. This paper systematically review the last decade (January 2013 - May 2022) of HRI literature to identify the main features of affective robotics for wellbeing. Specifically, we focused on the types of wellbeing goals affective robots addressed, their platforms, their shapes, their affective capabilities, and their autonomy in the surveyed studies. Based on this analysis, we list a set of recommendations that emerged, and we also present a research agenda to provide future directions to researchers in the field of affective robotics for wellbeing.

翻译：情感机器人学研究旨在更好地理解人类社交与情感信号，以改善人机交互（HRI），并在过去十年中广泛应用于多个应用领域。已有研究证实，情感机器人（即能够识别、解释、处理或模拟人类情感的机器人）在医疗健康领域（尤其是健康福祉方面）具有巨大潜力。本文系统梳理了过去十年（2013年1月至2022年5月）的人机交互文献，以识别情感机器人学在健康福祉中的关键特征。具体而言，我们聚焦于调查研究中情感机器人所处理的健康福祉目标类型、平台形态、外形设计、情感能力及自主程度。基于此分析，我们归纳出一系列建议，并提出研究议程，为从事情感机器人学健康福祉领域的研究人员提供未来方向。