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A Microsociological Approach to Understanding the Robot Collaborative Motion in Human-Robot Interaction

Published: 10 January 2020 Publication History

Abstract

Existing approaches to human-robot collaboration typically focus on how to build robots that can work safely and fluently with humans on collaborative tasks. Less is known about how people interpret the boundary between movement-based collaboration and non-collaboration when interacting with robots. By applying a microsociological theory to analysing the process of interaction as it unfolds, we propose and identify points of breakdown in the collaborative task of a human and a robot carrying an object to a destination. In designing the experiment, Kinetography Laban is used to enable a precise description of the intended normative and disruptive motion paths of the robot. The contribution of the paper is the theoretical understanding of collaboration from sociology, and a method for designing and evaluating collaborative motion between humans and robots that combines microsociology and Kinetography Laban. The proposed method accounts for the contingent meaning construction performed by people in recognising behavioural motion cues of robots as part of an ongoing interaction process, and enables the boundary between collaborative and non-collaborative robot motion to be defined.

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Cited By

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  • (2024)Human Understanding and Perception of Unanticipated Robot Action in the Context of Physical InteractionACM Transactions on Human-Robot Interaction10.1145/364345813:1(1-26)Online publication date: 27-Jan-2024
  • (2024)Fostering Social Relationships in Higher Education Institutions Through AI-Powered Solutions for Sustainable DevelopmentSustainable Development through Machine Learning, AI and IoT10.1007/978-3-031-71729-1_5(50-59)Online publication date: 18-Sep-2024
  • (2022)Resonance as a Design Strategy for AI and Social RobotsFrontiers in Neurorobotics10.3389/fnbot.2022.85048916Online publication date: 27-Apr-2022
  • Show More Cited By

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Published In

cover image ACM Other conferences
OzCHI '19: Proceedings of the 31st Australian Conference on Human-Computer-Interaction
December 2019
631 pages
ISBN:9781450376969
DOI:10.1145/3369457
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

In-Cooperation

  • HFESA: Human Factors and Ergonomics Society of Australia Inc.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 10 January 2020

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Author Tags

  1. Human-robot collaboration
  2. Kinetography Laban
  3. interaction
  4. meaning construction
  5. microsociology
  6. robot path

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  • Short-paper
  • Research
  • Refereed limited

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OZCHI'19
OZCHI'19: 31ST AUSTRALIAN CONFERENCE ON HUMAN-COMPUTER-INTERACTION
December 2 - 5, 2019
WA, Fremantle, Australia

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Overall Acceptance Rate 362 of 729 submissions, 50%

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Cited By

View all
  • (2024)Human Understanding and Perception of Unanticipated Robot Action in the Context of Physical InteractionACM Transactions on Human-Robot Interaction10.1145/364345813:1(1-26)Online publication date: 27-Jan-2024
  • (2024)Fostering Social Relationships in Higher Education Institutions Through AI-Powered Solutions for Sustainable DevelopmentSustainable Development through Machine Learning, AI and IoT10.1007/978-3-031-71729-1_5(50-59)Online publication date: 18-Sep-2024
  • (2022)Resonance as a Design Strategy for AI and Social RobotsFrontiers in Neurorobotics10.3389/fnbot.2022.85048916Online publication date: 27-Apr-2022
  • (2021)Human–machine interaction and design methodsThe Routledge Social Science Handbook of AI10.4324/9780429198533-10(138-154)Online publication date: 19-May-2021
  • (2020)Designing an Experiment for Generating Human Experiences of Robot Cooperativeness and UncooperativenessProceedings of the 8th International Conference on Human-Agent Interaction10.1145/3406499.3418750(248-250)Online publication date: 10-Nov-2020

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