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Psychosocial Impact of Collaborating with an Autonomous Mobile Robot: Results of an Exploratory Case Study

Authors:

Nicole Berx,

Liliane Pintelon,

Wilm DecréAuthors Info & Claims

HRI '21 Companion: Companion of the 2021 ACM/IEEE International Conference on Human-Robot Interaction

Pages 280 - 282

https://doi.org/10.1145/3434074.3447176

Published: 08 March 2021 Publication History

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Abstract

The study was part of a confidential pilot project concerning the introduction of Autonomous Mobile Robots in an order picking process. The study assesses the impact of working with an AMR on logistics workers (hereinafter referred to as 'operators'). Two research questions were investigated. First, does working with an AMR lead to increased psychosocial workload? And second, what is the perception of the operators working with an AMR? Very little research, outside a lab context, has been done so far on the impact of working with an AMR. This study contributes to the understanding of the impact of working with robots, outside the lab in an industrial setting. The results of this study can be summarized as follows: 1) working with an AMR does not lead to extra psychosocial workload and 2) there is a positive perception and attitude versus working with an AMR.

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Cited By

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Haney JLiang C(2024)A Literature Review on Safety Perception and Trust during Human–Robot Interaction with Autonomous Mobile Robots That Apply to Industrial EnvironmentsIISE Transactions on Occupational Ergonomics and Human Factors10.1080/24725838.2023.228353712:1-2(6-27)Online publication date: 8-Jan-2024
https://doi.org/10.1080/24725838.2023.2283537
Hsu CHwang PWang WWang YLu C(2023)Vision-Based Mobile Collaborative Robot Incorporating a Multicamera Localization SystemIEEE Sensors Journal10.1109/JSEN.2023.330030123:18(21853-21861)Online publication date: 15-Sep-2023
https://doi.org/10.1109/JSEN.2023.3300301
Alves CCardoso AColim ABicho EBraga ACunha JFaria CRocha L(2022)Human–Robot Interaction in Industrial Settings: Perception of Multiple Participants at a Crossroad Intersection Scenario with Different Courtesy CuesRobotics10.3390/robotics1103005911:3(59)Online publication date: 13-May-2022
https://doi.org/10.3390/robotics11030059

Index Terms

Psychosocial Impact of Collaborating with an Autonomous Mobile Robot: Results of an Exploratory Case Study
1. Human-centered computing
  1. Collaborative and social computing
    1. Empirical studies in collaborative and social computing

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Published In

HRI '21 Companion: Companion of the 2021 ACM/IEEE International Conference on Human-Robot Interaction

March 2021

756 pages

ISBN:9781450382908

DOI:10.1145/3434074

General Chairs:
Cindy Bethel
Mississippi State University, USA
,
Ana Paiva
INESC-ID, IST, University of Lisbon, Portugal & Radcliffe Institute for Advanced Study, Harvard University, USA
,
Program Chairs:
Elizabeth Broadbent
University of Auckland, New Zealand
,
David Feil-Seifer
University of Nevada Reno, USA
,
Daniel Szafir
University of Colorado Boulder, USA

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]

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Published: 08 March 2021

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HRI '21: ACM/IEEE International Conference on Human-Robot Interaction

March 8 - 11, 2021

CO, Boulder, USA

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Haney JLiang C(2024)A Literature Review on Safety Perception and Trust during Human–Robot Interaction with Autonomous Mobile Robots That Apply to Industrial EnvironmentsIISE Transactions on Occupational Ergonomics and Human Factors10.1080/24725838.2023.228353712:1-2(6-27)Online publication date: 8-Jan-2024
https://doi.org/10.1080/24725838.2023.2283537
Hsu CHwang PWang WWang YLu C(2023)Vision-Based Mobile Collaborative Robot Incorporating a Multicamera Localization SystemIEEE Sensors Journal10.1109/JSEN.2023.330030123:18(21853-21861)Online publication date: 15-Sep-2023
https://doi.org/10.1109/JSEN.2023.3300301
Alves CCardoso AColim ABicho EBraga ACunha JFaria CRocha L(2022)Human–Robot Interaction in Industrial Settings: Perception of Multiple Participants at a Crossroad Intersection Scenario with Different Courtesy CuesRobotics10.3390/robotics1103005911:3(59)Online publication date: 13-May-2022
https://doi.org/10.3390/robotics11030059

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Recommendations

Design and implementation of a navigation system for autonomous mobile robots

Laser and vision sensing for obstacle avoidance and target seeking for a simple mobile robot

Interactive Teleoperation Interface for Semi-autonomous Control of Robot Arms

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