The Free-play Sandbox: a Methodology for the Evaluation of Social Robotics and a Dataset of Social Interactions
The Free-play Sandbox: a Methodology for the Evaluation of Social Robotics and a Dataset of Social Interactions
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自由游戏沙盒：社交机器人评估方法和社交互动数据集
DOI：
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发表时间：
2017
期刊：
影响因子：
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通讯作者：
Tony Belpaeme
中科院分区：
文献类型：
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作者：
Séverin Lemaignan;C. Edmunds;Emmanuel Senft;Tony Belpaeme
Evaluating human-robot social interactions in a rigorous manner is notoriously difficult: studies are either conducted in labs with constrained protocols to allow for robust measurements and a degree of replicability, but at the cost of ecological validity; or in the wild, which leads to superior experimental realism, but often with limited replicability and at the expense of rigorous interaction metrics.
We introduce a novel interaction paradigm, designed to elicit rich and varied social interactions while having desirable scientific properties (replicability, clear metrics, possibility of either autonomous or Wizard-of-Oz robot behaviours). This paradigm focuses on child-robot interactions, and builds on a sandboxed free-play environment. We present the rationale and design of the interaction paradigm, its methodological and technical aspects (including the open-source implementation of the software platform), as well as two large open datasets acquired with this paradigm, and meant to act as experimental baselines for future research.
