Schellen Elef, Wykowska Agnieszka
Social Cognition in Human-Robot Interaction, Istituto Italiano di Tecnologia, Genoa, Italy.
Front Robot AI. 2019 Jan 11;5:139. doi: 10.3389/frobt.2018.00139. eCollection 2018.
Natural and effective interaction with humanoid robots should involve social cognitive mechanisms of the human brain that normally facilitate social interaction between humans. Recent research has indicated that the presence and efficiency of these mechanisms in human-robot interaction (HRI) might be contingent on the adoption of a set of attitudes, mindsets, and beliefs concerning the robot's inner machinery. Current research is investigating the factors that influence these mindsets, and how they affect HRI. This review focuses on a specific mindset, namely the "intentional mindset" in which intentionality is attributed to another agent. More specifically, we focus on the concept of adopting the intentional stance toward robots, i.e., the tendency to predict and explain the robots' behavior with reference to mental states. We discuss the relationship between adoption of intentional stance and lower-level mechanisms of social cognition, and we provide a critical evaluation of research methods currently employed in this field, highlighting common pitfalls in the measurement of attitudes and mindsets.
与类人机器人进行自然而有效的互动应涉及人类大脑的社会认知机制，这些机制通常会促进人与人之间的社会互动。最近的研究表明，这些机制在人机交互（HRI）中的存在和效率可能取决于对机器人内部机制所采取的一系列态度、思维模式和信念。当前的研究正在调查影响这些思维模式的因素，以及它们如何影响人机交互。本综述聚焦于一种特定的思维模式，即“意向思维模式”，在这种模式中，意向性被赋予另一个主体。更具体地说，我们关注对机器人采取意向立场的概念，即倾向于参照心理状态来预测和解释机器人的行为。我们讨论了采取意向立场与社会认知的较低层次机制之间的关系，并对该领域目前采用的研究方法进行了批判性评估，突出了态度和思维模式测量中常见的陷阱。
