Recanati School for Community Health Professions, Department of Physical Therapy, Ben-Gurion University of the Negev, Beer-Sheva, Israel.
Cluster of Excellence BrainLinks-BrainTools, University of Freiburg, Germany; Department of Philosophy, University of Freiburg, Germany; Freiburg Institute for Advanced Studies (FRIAS), University of Freiburg, Germany.
Neurosci Biobehav Rev. 2019 Sep;104:231-239. doi: 10.1016/j.neubiorev.2019.07.014. Epub 2019 Jul 23.
Incorporation of social robots into rehabilitation calls for understanding what factors affect user motivation and success of the interaction. Trust between the user and the robot has been identified as important in human-robot interaction and in human-human interactions in therapy. Trust has been studied in the context of automation technology, (e.g., autonomous cars), but not in the context of social robots for rehabilitation. In this narrative review, we address the unique patient-clinician-robot triad, and argue that this context calls for specific design features in order to foster trust with the users. We review pertinent methods for measuring trust, and studies demonstrating that culture, prior experience and propensity-to-trust affect to what extent users trust robots. We suggest design guidelines for fostering trust and methods for measuring trust in human-robot interactions in rehabilitation. We stress the need to create measures of trust that are accessible to people who suffer from speech or cognitive impairments. This review is pertinent to researchers, roboticists, and clinicians interested in designing and using social robots for rehabilitation.
将社交机器人融入康复治疗需要了解哪些因素会影响用户的动机和互动的成功。在人机交互和治疗中的人际互动中，用户与机器人之间的信任已被确定为重要因素。信任已经在自动化技术（例如自动驾驶汽车）的背景下进行了研究，但尚未在用于康复的社交机器人的背景下进行研究。在这篇叙述性综述中，我们讨论了独特的患者-临床医生-机器人三方关系，并认为为了与用户建立信任，这种情况下需要特定的设计特点。我们回顾了相关的信任测量方法，以及研究表明文化、先前的经验和信任倾向会影响用户对机器人的信任程度。我们提出了在康复中促进信任的设计指南以及测量人机交互中信任的方法。我们强调需要创建对患有言语或认知障碍的人易于理解的信任度量标准。本综述与有兴趣设计和使用社交机器人进行康复的研究人员、机器人专家和临床医生相关。
