Supplementary data for the paper 'An open-source reproducible chess robot for human-robot interaction research'

Recent advancements in AI have accelerated the evolution of versatile robot designs. Chess provides a standardized environment for evaluating the impact of robot behavior on human behavior. This article presents an open-source chess robot for human-robot interaction (HRI) research, specifically focusing on verbal and non-verbal interactions. The OpenChessRobot recognizes chess pieces using computer vision, executes moves, and interacts with the human player through voice and robotic gestures. We detail the software design, provide quantitative evaluations of the efficacy of the robot, and offer a guide for its reproducibility. An online survey examining people’s views of the robot in three possible scenarios was conducted with 597 participants. The robot received the highest ratings in the robotics education and the chess coach scenarios, while the home entertainment scenario received the lowest scores. The code is accessible on GitHub: https://github.com/renchizhhhh/OpenChessRobot

人工智能领域的近期进展，加速了多功能机器人设计的迭代演进。国际象棋为评估机器人行为对人类行为的影响提供了标准化实验环境。本文面向人机交互（Human-Robot Interaction, HRI）研究，推出了一款开源国际象棋机器人，其研究重点聚焦于语言与非语言交互场景。该开源国际象棋机器人（OpenChessRobot）依托计算机视觉识别国际象棋棋子，可完成棋步执行，并通过语音交互与机器人肢体动作与人类棋手进行互动。本文详细阐述了该机器人的软件设计方案，对其效能开展了量化评估，并提供了可复现该系统的操作指南。研究团队面向597名受访者开展了线上调研，以了解大众对该机器人在三种预设场景下的评价。调研结果显示，该机器人在机器人教育与国际象棋教练两种场景中获得了最高评分，而家庭娱乐场景的评分最低。该机器人的代码可在GitHub平台获取：https://github.com/renchizhhhh/OpenChessRobot