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This paper presents a dataset capturing human-robot interactions (HRI) in urban public settings. The data were gathered by deploying two mobile trash barrel robots in public plazas in New York City. The dataset includes social signals that can be analyzed to gain insights into naturalistic HRI. Currently, the dataset consists of around 25 h of video footage recorded from the robots’ perspectives, along with over 800 annotated interactions. To our knowledge, this is the first dataset showcasing robot deployments in complete public, non-controlled settings involving urban residents. Further details are available at https://github.com/FAR-Lab/SSUP-HRI .

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

  • 会议论文

  • 发表日期：

    2025年

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  • Fanjun Bu,
  • Wendy Ju

摘要

This paper presents a dataset capturing human-robot interactions (HRI) in urban public settings. The data were gathered by deploying two mobile trash barrel robots in public plazas in New York City. The dataset includes social signals that can be analyzed to gain insights into naturalistic HRI. Currently, the dataset consists of around 25 h of video footage recorded from the robots’ perspectives, along with over 800 annotated interactions. To our knowledge, this is the first dataset showcasing robot deployments in complete public, non-controlled settings involving urban residents. Further details are available at https://github.com/FAR-Lab/SSUP-HRI .