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:社会辅助机器人(SAR)是被设计成模拟照顾者、教练或教师角色,为其特定群体提供情感、认知和社交线索的机器人。SAR变得越来越普遍,尤其是在老年护理领域。有效的沟通,包括显式和隐式的,是涉及SAR的人机交互的关键方面。意图沟通对于SAR与人有效沟通是必要的。生物特征可以提供关于一个人身份或情绪的重要信息。将这些生物特征信号与意图沟通联系起来,SAR可以深入了解其用户并相应地量身定制其交互。开发可靠和稳健的生物特征感知和分析系统对于SAR的成功非常重要。在这项工作中,我们关注评估涉及SAR的意图沟通的四个不同方面,现有的工作以及我们对未来工作和应用的展望。