In the past years, the field of collaborative robots has been developing fast, with applications ranging from health care to search and rescue, construction, entertainment, sports, and many others. However, current social robotics is still far from the general abilities we expect in a robot collaborator. This limitation is more evident when robots are faced with real-life contexts and activities occurring over long periods. In this article, we argue that human–robot collaboration is more than just being able to work side by side on complementary tasks: collaboration is a complex relational process that entails mutual understanding and reciprocal adaptation. Drawing on this assumption, we propose to shift the focus from “human–robot interaction” to “human–robot shared experience.” We hold that for enabling the emergence of such shared experiential space between humans and robots, constructs such as coadaptation, intersubjectivity, individual differences, and identity should become the central focus of modeling. Finally, we suggest that this shift in perspective would imply changing current mainstream design approaches, which are mainly focused on functional aspects of the human–robot interaction, to the development of architectural frameworks that integrate the enabling dimensions of social cognition.

中文翻译：

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像我们这样的机器和像您这样的人：迈向人机共享的经验

在过去的几年中，协作机器人领域一直在快速发展，其应用范围从医疗保健到搜索和救援，建筑，娱乐，体育等许多领域。但是，当前的社交机器人技术仍远未达到我们在机器人协作者中所期望的一般能力。当机器人面对现实环境和长时间发生的活动时，这种局限性更加明显。在本文中，我们认为人机协作不只是能够在互补任务上并肩工作：协作是一个复杂的关系过程，需要相互理解和相互适应。基于此假设，我们建议将重点从“人机交互”转移到“人机共享经验”。我们认为，为了使人与机器人之间能够共享这种体验空间，共同协作，主体间性，个体差异和身份等构造应成为建模的重点。最后，我们建议这种观念上的转变将意味着将当前主要集中在人机交互功能方面的主流设计方法改变为集成了社会认知的支持维度的体系结构框架的开发。