Skip to main navigation Skip to search Skip to main content

Trash in Motion: Emergent Interactions with a Robotic Trashcan

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

Abstract

The introduction of robots in public spaces raises many questions concerning emergent interactions with robots. In this paper, we use video analysis to study two robotic trashcans deployed in a busy city square. We focus on the movement-based practices that emerged between the robot, the robot operators, and the inhabitants of the square. These practices spanned ways of attracting the robot and disposing of trash, the robot'asking' for trash,'demonstrations' by those in the square, as well as passersby in the square navigating around and in coordination with the robots. In discussion, we document these'spontaneous simple sequential systematics' - interactions that were systematic (they had an order), sequential (they had parts that happened one at a time), simple (in that they could be understood and copied by an observer) and spontaneous (they could be produced with no prompting or training). Building on this we discuss how we might think of robotic motion as a design space, along with HCI contributions to urban robotics.

Original languageEnglish
Title of host publicationCHI 2024 - Proceedings of the 2024 CHI Conference on Human Factors in Computing Sytems
Number of pages17
PublisherAssociation for Computing Machinery
Publication date2024
Article number591
ISBN (Electronic)9798400703300
DOIs
Publication statusPublished - 2024
Event2024 CHI Conference on Human Factors in Computing Sytems, CHI 2024 - Hybrid, Honolulu, United States
Duration: 11 May 2024 → 16 May 2024

Conference

Conference2024 CHI Conference on Human Factors in Computing Sytems, CHI 2024
Country/TerritoryUnited States
CityHybrid, Honolulu
Period11/05/2024 → 16/05/2024

Bibliographical note

Publisher Copyright:
© 2024 Copyright held by the owner/author(s)

Funding

This research was conducted under Cornell Tech's IRB Protocol #IRB0145711, with sponsorship from Tata Consultancy Services and seed grant funding from Cornell Tech's Urban Tech Hub. The project was also funded by the WASP-HS project \"AI in motion\" (MMW2020.0086). We thank the members of the Future Automation Lab for being the wizards behind the robots and we also appreciate the support of Village Alliance for the access to the public square.

Keywords

  • ethnomethodology
  • human-robot interaction
  • Public interaction

Cite this