A growing shortfall exists between the number of older individuals who require healthcare support and the number of qualified healthcare professionals who can provide this. Robots offer the potential to provide healthcare support to patients both at home and in healthcare settings. However, in order for robots to be successfully implemented in these environments, they need to behave in ways that are appropriate and acceptable to human users. One way to identify appropriate social behaviours for healthcare robots is to model their behaviour on interactions between healthcare professionals and patients. This literature review aimed to inform healthcare robotics research by highlighting communication behaviours that are important within the context of healthcare. The review focussed on relevant research in human clinical interactions, followed by a review of similar factors in social robotics research. Three databases were searched for terms relating to healthcare professional communication behaviours associated with patient outcomes. The results identified key communication behaviours that can convey clinical empathy, including humour, self-disclosure, facial expressions, eye gaze, body posture, and gestures. A further search was conducted to identify research examining these key behaviours within the context of social and healthcare robotics. Research into these factors in human–robot interaction in healthcare is limited to date, and this review provides a useful guide for future research.

需要医疗支持的老年人与能够提供医疗支持的合格医疗专业人员之间的差距越来越大。机器人具有为家庭和医疗机构中的患者提供医疗支持的潜力。但是，为了使机器人在这些环境中成功实现，它们需要以适合人类用户且可接受的方式运行。为医疗保健机器人识别适当社交行为的一种方法是，根据医疗保健专业人员和患者之间的互动对他们的行为进行建模。这篇文献综述旨在通过强调在医疗保健背景下重要的交流行为来为医疗保健机器人技术研究提供信息。这篇综述着重于人类临床相互作用的相关研究，其次是对社会机器人研究中类似因素的评论。在三个数据库中搜索了与患者结局相关的医疗保健专业交流行为的术语。结果确定了可以传达临床移情作用的关键沟通行为，包括幽默，自我表露，面部表情，视线，身体姿势和手势。进行了进一步的搜索，以确定在社交和医疗机器人技术背景下检查这些关键行为的研究。迄今为止，对医疗保健中人机交互中这些因素的研究还很有限，该综述为将来的研究提供了有用的指南。结果确定了可以传达临床同理心的关键沟通行为，包括幽默，自我披露，面部表情，目光，身体姿势和手势。进行了进一步的搜索，以确定在社交和医疗机器人技术背景下检查这些关键行为的研究。迄今为止，对医疗保健中人机交互中这些因素的研究还很有限，该综述为将来的研究提供了有用的指南。结果确定了可以传达临床移情作用的关键沟通行为，包括幽默，自我表露，面部表情，视线，身体姿势和手势。进行了进一步的搜索，以确定在社交和医疗机器人技术背景下检查这些关键行为的研究。迄今为止，对医疗保健中人机交互的这些因素的研究还很有限，而本综述为将来的研究提供了有用的指南。