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

DOI:10.4121/1cb5bf64-468e-462a-a82e-c847d88a7a86.v1
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DOI: 10.4121/1cb5bf64-468e-462a-a82e-c847d88a7a86
Datacite citation style:
Zhang, Renchi; de Winter, Joost; Dodou, Dimitra; Seyffert, Harleigh; Eisma, Yke Bauke (2025): Supplementary data for the paper 'An open-source reproducible chess robot for human-robot interaction research'. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/1cb5bf64-468e-462a-a82e-c847d88a7a86.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite

Dataset

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

History

  • 2025-02-28 first online, published, posted

Publisher

4TU.ResearchData

Format

images/.png; script/.ipynb; raw data/.csv; data output/.txt; questionnaire/.pdf; data serialization/.yaml; PyTorch model files/.pt

Organizations

TU Delft, Faculty of Mechanical Engineering, Department of Cognitive Robotics

DATA

Files (5)