Mutual learning of mind mappings between a human and a lifelike agent by mutual mind-reading game

我们的项目提出并开发了一种人机交互，在这种交互中，用户和一个栩栩如生的智能体通过相互读心术游戏相互获取对方的思维导图。在这几年里，人们对类似生命的代理进行了大量的研究，比如微软代理、接口代理。通过开发各种类似生命的代理，一种类似心灵的情感，处理负荷已经被认为在使它们对用户可信方面起着重要作用。为了在智能体和用户之间建立有效和自然的沟通，他们需要从表情中读取对方的思想，我们称之为从表情到思维状态的映射。如果一个代理和一个用户没有获得这些思维映射，他们就不能利用那些明显依赖于对方思维的行为。我们形式化了这种相互读心术，并提出了一个框架，在这个框架中，用户和一个类似生命的代理相互获取对方的思维导图。在我们的框架中，用户与代理玩一场相互读心术的游戏，他们通过游戏逐渐学会读懂对方的心思。最终，我们完全实现了我们的框架，并进行了实验来调查其有效性。

Our project proposed and developed a human-agent interaction in which a user and a life-like agent mutually acquire the other's mind mapping through a mutual mind reading game. In these several years, a lot of studies have been done on a life-like agent such a Micro Soft agent, an interface agent. Through development of various life-like agents, a mind like emotion, processing load has been recognized to play an important role in making them believable to a user. For establishing effective and natural communication between a agent and a user, they need to read the other's mind from expressions and we call the mapping from expressions to mind states mind mapping. If an agent and a user don't obtain these mind mappings, they can not utilize behaviors which significantly depend on the other's mind.We formalize such mutual mind reading and propose a framework in which a user and a life-like agent mutually acquire mind mappings each other. In our framework, a user plays a mutual mind reading game with an agent and they gradually learn to read the other's mind through the game. Eventually we fully implemented our framework and made experiments to investigate its effectiveness.