Socially Assistive Robots (SARs) have shown promising potential in therapeutic scenarios as decision-making instructors or motivational companions. In human-human therapy, experts often communicate the thought process behind the decisions they make to promote transparency and build trust. As research aims to incorporate more complex decision-making models into these robots to drive better interaction, the ability for the SAR to explain its decisions becomes an increasing challenge. We present the latest examples of complex SAR decision-makers. We argue that, based on the importance of transparent communication in human-human therapy, SARs should incorporate such components into their design. To stimulate discussion around this topic, we present a set of design considerations for researchers.

翻译：社交辅助机器人在治疗场景中作为决策指导者或激励伴侣展现出巨大潜力。在人类治疗中，专家通常会传达其决策背后的思考过程，以促进透明度和建立信任。随着研究致力于将更复杂的决策模型融入这些机器人以推动更优交互，社交辅助机器人解释其决策的能力日益成为挑战。我们展示了复杂社交辅助机器人决策者的最新实例，并主张基于人类治疗中透明沟通的重要性，社交辅助机器人应将此类组件融入其设计中。为激发围绕该主题的讨论，我们提出了一系列面向研究人员的设.