research-article

Working with Bounded Collaboration: A Qualitative Study on How Collaboration is Co-constructed around Collaborative Robots in Industry

Authors:

EunJeong Cheon,

Eike Schneiders,

Mikael B. SkovAuthors Info & Claims

Proceedings of the ACM on Human-Computer Interaction, Volume 6, Issue CSCW2

Article No.: 369, Pages 1 - 34

https://doi.org/10.1145/3555094

Published: 11 November 2022 Publication History

Abstract

We investigate how collaboration is understood and configured in industrial workplaces with collaborative robots (cobots). Through a qualitative analysis of 115 case studies of companies using cobots and 14 semi-structured interviews with cobot manufacturers and users, we examine the usages of cobots in the manufacturing industry over the entire temporal spectrum from pre-introduction to completed implementation. By synthesizing diverse stakeholders' perspectives, we present a set of main findings; key roles of a few supportive production workers during the adoption of cobots; a fragmentation of work tasks and the resulting loss of job identity among workers; the disunified meaning of "collaboration" which is under constant development; and the collaborative space and the working rhythms between production workers and cobots. By reconsidering what collaboration means in the workplace with cobots, we propose the concept of bounded collaboration, which means that the anticipated collaboration is manifested in a partial and limited manner within a collaborative technology. Finally, we provide practical suggestions for examining and supporting organizations and users in their adoption of cobots.

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Index Terms

Working with Bounded Collaboration: A Qualitative Study on How Collaboration is Co-constructed around Collaborative Robots in Industry
1. Human-centered computing
  1. Collaborative and social computing

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Proceedings of the ACM on Human-Computer Interaction Volume 6, Issue CSCW2

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Cheon E(2024)Examining Algorithmic Metrics and their Effects through the Lens of ReactivityProceedings of the 2024 ACM Designing Interactive Systems Conference10.1145/3643834.3660676(3179-3192)Online publication date: 1-Jul-2024
https://dl.acm.org/doi/10.1145/3643834.3660676
Gerbracht MKrüger MDe Castro Leal DTolmie PWulf V(2024)"We are no Luddites!" - CSCW, Co-Determination and Digital Transformation in GermanyProceedings of the ACM on Human-Computer Interaction10.1145/36374308:CSCW1(1-23)Online publication date: 26-Apr-2024
https://dl.acm.org/doi/10.1145/3637430
Schneiders EFourie CCelestin SShah JJung M(2024)Understanding Entrainment in Human Groups: Optimising Human-Robot Collaboration from Lessons Learned during Human-Human CollaborationProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642427(1-13)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3642427
Tallat RHawbani AWang XAl-Dubai AZhao LLiu ZMin GZomaya AHamood Alsamhi S(2024)Navigating Industry 5.0: A Survey of Key Enabling Technologies, Trends, Challenges, and OpportunitiesIEEE Communications Surveys & Tutorials10.1109/COMST.2023.332947226:2(1080-1126)Online publication date: Oct-2025
https://doi.org/10.1109/COMST.2023.3329472
Fournier ÉJeoffrion CHmedan BPellier DFiorino HLandry A(2024)Human-cobot collaboration's impact on success, time completion, errors, workload, gestures and acceptability during an assembly taskApplied Ergonomics10.1016/j.apergo.2024.104306119(104306)Online publication date: Sep-2024
https://doi.org/10.1016/j.apergo.2024.104306
Cheon E(2023)Powerful Futures: How a Big Tech Company Envisions Humans and Technologies in the Workplace of the FutureProceedings of the ACM on Human-Computer Interaction10.1145/36101037:CSCW2(1-35)Online publication date: 4-Oct-2023
https://dl.acm.org/doi/10.1145/3610103

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