Human-Robot Trust and Cooperation Through a Game Theoretic Framework
Human-Robot Trust and Cooperation Through a Game Theoretic Framework
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通过博弈论框架实现人机信任与合作
DOI：
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发表时间：
2016
期刊：
影响因子：
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通讯作者：
James C. Boerkoel
中科院分区：
文献类型：
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作者：
Erin Paeng;Jane Wu;James C. Boerkoel
信任与合作是人类互动的基础。我们对他人的信任程度直接影响我们做出的决定和我们的合作意愿。因此，信任在成功的人机交互（HRI）中同样重要似乎很自然，因为人类对机器人的信任程度会影响他们与机器人的交互方式。我们建议使用硬币委托游戏（囚徒困境的一种变体）来衡量人类和机器人代理之间的信任与合作作为单独的现象。通过这个游戏，我们测试了以下假设：（1）人类在与他们认为是机器人的人互动时，会比与另一个人互动时获得并保持更高水平的信任； (2)人类将更容易与机器人合作，并保持更高水平的合作。这项工作提供了一种实验范式，使用代币委托游戏作为测试我们假设的方式。我们的实证分析表明，人类比其他人类更倾向于信任机器人，同时两者的合作也同样良好。
Trust and cooperation are fundamental to human interactions. How much we trust other people directly influences the decisions we make and our willingness to cooperate. It thus seems natural that trust be equally important in successful human-robot interaction (HRI), since how much a human trusts a robot affects how they might interact with it. We propose using a coin entrustment game, a variant of prisoner’s dilemma, to measure trust and cooperation as separate phenomenon between human and robot agents. With this game, we test the following hypotheses: (1) Humans will achieve and maintain higher levels of trust when interacting with what they believe to be a robot than with another human; and (2) humans will cooperate more readily with robots and will maintain a higher level of cooperation. This work contributes an experimental paradigm that uses the coin entrustment game as a way to test our hypotheses. Our empirical analysis shows that humans tend to trust robots to a greater degree than other humans, while cooperating equally well in both.