Making Sense of Robots in Public Spaces: A Study of Trash Barrel Robots

In this work, we analyze video data and interviews from a public deployment of two trash barrel robots in a large public space to better understand the sensemaking activities people perform when they encounter robots in public spaces. Based on an analysis of 274 human–robot interactions and interviews with N = 65 individuals or groups, we discovered that people were responding not only to the robots or their behavior, but also to the general idea of deploying robots as trashcans, and the larger social implications of that idea. They wanted to understand details about the deployment because having that knowledge would change how they interact with the robot. Based on our data and analysis, we have provided implications for design that may be topics for future human–robot design researchers who are exploring robots for public space deployment. Furthermore, our work offers a practical example of analyzing field data to make sense of robots in public spaces.

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Publication Details

Journal
ACM Transactions on Human-Robot Interaction
Published
2025-04-17
DOI
https://doi.org/10.1145/3731252
Citations
4
Primary Topic
Mobile Crowdsensing and Crowdsourcing
Type
article
Field-Weighted Citation Impact
6.77
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article

Making Sense of Robots in Public Spaces: A Study of Trash Barrel Robots

Wendy Ju, Fanjun Bu, Kerstin Fischer
4 citations
ACM Transactions on Human-Robot Interaction
Mobile Crowdsensing and Crowdsourcing
6.77
article

Making Sense of Robots in Public Spaces: A Study of Trash Barrel Robots

Wendy Ju, Fanjun Bu, Kerstin Fischer
article en
4 citations

Abstract

In this work, we analyze video data and interviews from a public deployment of two trash barrel robots in a large public space to better understand the sensemaking activities people perform when they encounter robots in public spaces. Based on an analysis of 274 human–robot interactions and interviews with N = 65 individuals or groups, we discovered that people were responding not only to the robots or their behavior, but also to the general idea of deploying robots as trashcans, and the larger social implications of that idea. They wanted to understand details about the deployment because having that knowledge would change how they interact with the robot. Based on our data and analysis, we have provided implications for design that may be topics for future human–robot design researchers who are exploring robots for public space deployment. Furthermore, our work offers a practical example of analyzing field data to make sense of robots in public spaces.

ACM Transactions on Human-Robot InteractionVol. 14(4)
University of Southern Denmark (DK), Cornell University (US), Jacobs Institute (US)
Openalex Percentile: Top 4%
Mobile Crowdsensing and Crowdsourcing
6.77
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Making Sense of Robots in Public Spaces: A Study of Trash Barrel Robots — Wendy Ju, Fanjun Bu, et al. · ACM Transactions on Human-Robot Interaction (2025) | TGRS Research Map | TGRS