用博弈论研究人机协作，发现机器人策略影响人类合作意愿
Game Theory to Study Cooperation in Human-Robot Mixed Groups: Exploring the Potential of the Public Good Game
- 设计改进版公共品博弈，让3人与机器人iCub共同参与
- 19名参与者普遍不愿投资公共池，即便认为机器人慷慨
- 结果有助于开发能促进信任的社交机器人
本研究探讨博弈论在人类-机器人混合群体中合作与信任问题上的应用潜力。特别引入公共品博弈（PGG），该模型揭示了个体自利与集体利益之间的张力。本文提出一种改良版PGG，由三名人类参与者与人形机器人iCub共同进行，评估不同机器人策略（如始终合作、始终搭便车、以牙还牙）对人类合作倾向的影响。在包含19名参与者的试点研究中，初步分析显示，尽管参与者认为机器人表现慷慨，仍倾向于不向公共池投资。本研究旨在深入理解机器人在促进人机群体互动中的信任与凝聚力作用，结果对未来开发具备协作引导能力的社会机器人具有重要价值。
原文摘要 · Abstract (English)
In this study, we explore the potential of Game Theory as a means to investigate cooperation and trust in human-robot mixed groups. Particularly, we introduce the Public Good Game (PGG), a model highlighting the tension between individual self-interest and collective well-being. In this work, we present a modified version of the PGG, where three human participants engage in the game with the humanoid robot iCub to assess whether various robot game strategies (e.g., always cooperate, always free ride, and tit-for-tat) can influence the participants' inclination to cooperate. We test our setup during a pilot study with nineteen participants. A preliminary analysis indicates that participants prefer not to invest their money in the common pool, despite they perceive the robot as generous. By conducting this research, we seek to gain valuable insights into the role that robots can play in promoting trust and cohesion during human-robot interactions within group contexts. The results of this study may hold considerable potential for developing social robots capable of fostering trust and cooperation within mixed human-robot groups.
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