Socially Assistive Robots (SARs) are robots that are designed to replicate the role of a caregiver, coach, or teacher, providing emotional, cognitive, and social cues to support a specific group. SARs are becoming increasingly prevalent, especially in elderly care. Effective communication, both explicit and implicit, is a critical aspect of human-robot interaction involving SARs. Intent communication is necessary for SARs to engage in effective communication with humans. Biometrics can provide crucial information about a person's identity or emotions. By linking these biometric signals to the communication of intent, SARs can gain a profound understanding of their users and tailor their interactions accordingly. The development of reliable and robust biometric sensing and analysis systems is critical to the success of SARs. In this work, we focus on four different aspects to evaluate the communication of intent involving SARs, existing works, and our outlook on future works and applications.

翻译：社交辅助机器人（SARs）是旨在复制护理者、教练或教师角色的机器人，通过提供情感、认知和社交线索来支持特定群体。SARs正变得越来越普遍，尤其是在老年护理领域。有效的沟通——无论是显性还是隐性——是涉及SARs的人机交互的关键方面。意图传达对于SARs与人类进行有效沟通至关重要。生物识别技术可以提供关于个人身份或情绪的关键信息。通过将这些生物信号与意图传达相连接，SARs能够深入理解用户，并据此调整交互方式。开发可靠且稳健的生物识别传感与分析系统对SARs的成功至关重要。在本研究中，我们聚焦于四个方面来评估涉及SARs的意图传达、现有工作，以及我们对未来工作与应用前景的展望。