论文标题
在人机合作中建立相互信任的建模
Toward Mutual Trust Modeling in Human-Robot Collaboration
论文作者
论文摘要
智能系统的最近革命使机器人和自治系统与人类一起工作，与他们合作并在许多领域中支持它们成为可能。不可否认的是，如果人类的设计正常，则可以为人类带来巨大的好处。但是，与人类的合作需要高水平的认知和社会能力，以便获得人类的接受。在全人类团队中，共同信任是成功合作的引擎。这也适用于人类机器人的合作。信任这种互动可以控制过度和差异。它也可以减轻一些风险。因此，适当的信任水平对于这种新的团队合作至关重要。该领域的大多数研究都研究了人类在机器中的信任，从而忽略了协作伙伴之间信任的相互关系。在本文中，我们提出了一个信任模型，该模型结合了这种互助性，可以实时捕获人和机器人的信任水平，以便机器人可以以此为基础的行动，从而使其更加顺畅，更自然的相互作用。这增加了人类的自主权，因为人类不需要一直监视机器人行为。
The recent revolution of intelligent systems made it possible for robots and autonomous systems to work alongside humans, collaborating with them and supporting them in many domains. It is undeniable that this interaction can have huge benefits for humans if it is designed properly. However, collaboration with humans requires a high level of cognition and social capabilities in order to gain humans acceptance. In all-human teams, mutual trust is the engine for successful collaboration. This applies to human-robot collaboration as well. Trust in this interaction controls over- and under-reliance. It can also mitigate some risk. Therefore, an appropriate trust level is essential for this new form of teamwork. Most research in this area has looked at trust of humans in machines, neglecting the mutuality of trust among collaboration partners. In this paper, we propose a trust model that incorporates this mutuality captures trust levels of both the human and the robot in real-time, so that robot can base actions on this, allowing for smoother, more natural interactions. This increases the human autonomy since the human does not need to monitor the robot behavior all the time.
