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English(EN) CoMind: Understanding Collaborative Human Activity from Multiple Minds and Views

新的CoMind数据集捕捉协作人类活动以供AI研究

作者 PulseAugur 编辑部 · [1 个来源] ·

研究人员推出了CoMind，这是一个旨在通过捕捉真实烹饪场景来研究人类协作的新型数据集。该数据集整合了多视角视频、音频、注视跟踪和3D扫描，并标注了共享注意力、社交线索和代理-对象交互等细节。CoMind旨在促进对支持协作的认知过程（特别是心智理论）的研究，并为联合注意力估计和协作移交预测等任务建立基准。 AI

影响 支持能够模拟复杂社交互动和推理协作环境中人类行为的AI系统的开发和评估。

排序理由 该集群包含一篇介绍新数据集和基准的研究论文。

在 arXiv cs.CV 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

新的CoMind数据集捕捉协作人类活动以供AI研究

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报道来源 [1]

  1. arXiv cs.CV TIER_1 English(EN) · Alexey Gavryushin, Dingxi Zhang, Zhao Huang, Alexandros Delitzas, Jiaqi Chen, Ben Ellis, Cedric Z\"ollner, Manthan Patel, Manuel Kaufmann, Marc Pollefeys, Xi Wang ·

    CoMind：理解来自多个心智和视角的协作人类活动

    arXiv:2607.06691v1 Announce Type: new Abstract: Human-human collaboration is a fundamental aspect of everyday life, essential to success in a wide range of goal-directed activities from household tasks to professional teamwork. While much research has focused on modeling coordina…

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