SSUP-HRI: Social Signaling in Urban Public Human-Robot Interaction dataset

SSUP-HRI数据集由康奈尔大学创建，专注于城市公共环境中的人机交互（HRI），特别是社交信号的捕捉与分析。数据集包含约15小时的视频素材，记录了274次自然人机交互，这些数据由部署在纽约市Astor Place的两台移动垃圾桶机器人收集。数据集的创建过程涉及在公共空间中使用半监督的Wizard-of-Oz协议进行数据收集，旨在理解和模型化自然人机交互中的社交信号。该数据集的应用领域包括社会科学研究、人机交互模型开发以及提升公共空间中社交机器人的交互质量。

The SSUP-HRI dataset was developed by Cornell University, focusing on human-robot interaction (HRI) in urban public environments, with a specific emphasis on the capture and analysis of social signals. It contains approximately 15 hours of video footage documenting 274 instances of natural human-robot interaction, which were collected by two mobile trash bin robots deployed at Astor Place in New York City. The dataset was constructed using a semi-supervised Wizard-of-Oz protocol for public-space data collection, with the core goal of understanding and modeling social signals during natural human-robot interactions. Potential application areas of this dataset include social science research, the development of human-robot interaction models, and improving the interaction quality of social robots in public spaces.