治疗中的社会机器人研讨会论文集：专注于自主性和伦理挑战
Proceedings of the Workshop on Social Robots in Therapy: Focusing on Autonomy and Ethical Challenges
摘要：
机器人辅助治疗（RAT）已成功地用于HRI研究，通过将社交机器人纳入医疗保健干预措施，凭借其吸引人类用户社交和情感维度的能力。关于这一主题的研究项目遍布全球，在美国，欧洲和亚洲。所有这些项目都有一个雄心勃勃的总体目标，即增加弱势群体的福祉。RAT中的典型工作是使用远程控制机器人执行的;这种技术称为绿野仙踪（WoZ）。机器人通常由人类操作员控制，患者不知道。然而，从长远来看，WoZ并不是一种可持续的技术。为机器人提供自主性（同时保持在治疗师的监督下）有可能减轻治疗师的负担，不仅在治疗过程本身，而且在长期诊断任务中。因此，有必要探索在治疗中使用的社交机器人的几个程度的自主性。提高机器人的自主性也可能带来一系列新的挑战。特别是，将需要回答有关使用机器人与弱势群体的新的道德问题，以及需要确保符合道德的机器人行为。因此，在这次研讨会上，我们希望收集调查结果，并探讨何种程度的自主权可能有助于改善卫生保健干预措施，以及我们如何克服其固有的伦理挑战。
英文摘要：
Robot-Assisted Therapy (RAT) has successfully been used in HRI research by including social robots in health-care interventions by virtue of their ability to engage human users both social and emotional dimensions. Research projects on this topic exist all over the globe in the USA, Europe, and Asia. All of these projects have the overall ambitious goal to increase the well-being of a vulnerable population. Typical work in RAT is performed using remote controlled robots; a technique called Wizard-of-Oz (WoZ). The robot is usually controlled, unbeknownst to the patient, by a human operator. However, WoZ has been demonstrated to not be a sustainable technique in the long-term. Providing the robots with autonomy (while remaining under the supervision of the therapist) has the potential to lighten the therapists burden, not only in the therapeutic session itself but also in longer-term diagnostic tasks. Therefore, there is a need for exploring several degrees of autonomy in social robots used in therapy. Increasing the autonomy of robots might also bring about a new set of challenges. In particular, there will be a need to answer new ethical questions regarding the use of robots with a vulnerable population, as well as a need to ensure ethically-compliant robot behaviours. Therefore, in this workshop we want to gather findings and explore which degree of autonomy might help to improve health-care interventions and how we can overcome the ethical challenges inherent to it.
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。
