IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v20y2023i6p5111-d1096782.html
   My bibliography  Save this article

The Relationships of Human-Cobot Interaction Fluency with Job Performance and Job Satisfaction among Cobot Operators—The Moderating Role of Workload

Author

Listed:
  • Mateusz Paliga

    (Institute of Psychology, Faculty of Social Sciences, University of Silesia in Katowice, 40-007 Katowice, Poland)

Abstract

Modern factories are subject to rapid technological changes, including the advancement of robotics. A key manufacturing solution in the fourth industrial revolution is the introduction of collaborative robots (cobots), which cooperate directly with human operators while executing shared tasks. Although collaborative robotics has tangible benefits, cobots pose several challenges to human-robot interaction. Proximity, unpredictable robot behavior, and switching the operator’s role from a co-operant to a supervisor can negatively affect the operator’s cognitive, emotional, and behavioral responses, resulting in their lower well-being and decreased job performance. Therefore, proper actions are necessary to improve the interaction between the robot and its human counterpart. Specifically, exploring the concept of human-robot interaction (HRI) fluency shows promising perspectives. However, research on conditions affecting the relationships between HRI fluency and its outcomes is still in its infancy. Therefore, the aim of this cross-sectional survey study was twofold. First, the relationships of HRI fluency with job performance (i.e., task performance, organizational citizenship behavior, and creative performance) and job satisfaction were investigated. Second, the moderating role of the quantitative workload in these associations was verified. The analyses carried out on data from 200 male and female cobot operators working on the shop floor showed positive relationships between HRI fluency, job performance, and job satisfaction. Moreover, the study confirmed the moderating role of the quantitative workload in these relations. The results showed that the higher the workload, the lower the relationships between HRI fluency and its outcomes. The study findings are discussed within the theoretical framework of the Job Demands-Control-Support model.

Suggested Citation

  • Mateusz Paliga, 2023. "The Relationships of Human-Cobot Interaction Fluency with Job Performance and Job Satisfaction among Cobot Operators—The Moderating Role of Workload," IJERPH, MDPI, vol. 20(6), pages 1-19, March.
    • Handle: RePEc:gam:jijerp:v:20:y:2023:i:6:p:5111-:d:1096782
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/20/6/5111/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/20/6/5111/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Gihleb, Rania & Giuntella, Osea & Stella, Luca & Wang, Tianyi, 2022. "Industrial robots, Workers’ safety, and health," Labour Economics, Elsevier, vol. 78(C).
    2. Wim Lambrechts & Jessica S. Klaver & Lennart Koudijzer & Janjaap Semeijn, 2021. "Human Factors Influencing the Implementation of Cobots in High Volume Distribution Centres," Logistics, MDPI, vol. 5(2), pages 1-24, May.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Osea Giuntella & Johannes König & Luca Stella, 2023. "Artificial Intelligence and Workers’ Well-being," SOEPpapers on Multidisciplinary Panel Data Research 1194, DIW Berlin, The German Socio-Economic Panel (SOEP).
    2. Giuntella, Osea & König, Johannes & Stella, Luca, 2023. "Artificial Intelligence and Workers' Well-Being," IZA Discussion Papers 16485, Institute of Labor Economics (IZA).
    3. Janine Berg & Francis Green & Laura Nurski & David A Spencer, 2023. "Risks to job quality from digital technologies: Are industrial relations in Europe ready for the challenge?," European Journal of Industrial Relations, , vol. 29(4), pages 347-365, December.
    4. Ting Zhang & Dan Gerlowski & Zoltan Acs, 2022. "Working from home: small business performance and the COVID-19 pandemic," Small Business Economics, Springer, vol. 58(2), pages 611-636, February.
    5. Tong Sheng & Bingquan Fang & Xiaoqian Lu & Xingheng Shi & Chaohai Shen & Xiaolan Zhou, 2022. "The Relationship between Corporate Social Responsibility, Global Investment, and Equity Incentives," Sustainability, MDPI, vol. 14(23), pages 1-27, December.
    6. Kong, Gaowen & Huang, Jiating & Kong, Dongmin & Zhu, Ling, 2023. "Female executives, industrial robots, and stock price crash risk," Finance Research Letters, Elsevier, vol. 57(C).
    7. Christian Gunadi & Hanbyul Ryu, 2021. "Does the rise of robotic technology make people healthier?," Health Economics, John Wiley & Sons, Ltd., vol. 30(9), pages 2047-2062, September.
    8. Silvio Traverso & Massimiliano Vatiero & Enrico Zaninotto, 2023. "Robots and labor regulation: a cross-country/cross-industry analysis," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 32(7), pages 977-999, October.
    9. Klump, Rainer & Jurkat, Anne & Schneider, Florian, 2021. "Tracking the rise of robots: A survey of the IFR database and its applications," MPRA Paper 107909, University Library of Munich, Germany.
    10. Rossi, Lorenzo & Casson Moreno, Valeria & Landucci, Gabriele, 2022. "Vulnerability assessment of process pipelines affected by flood events," Reliability Engineering and System Safety, Elsevier, vol. 219(C).
    11. Qiren Liu & Sen Luo & Robert Seamans, 2023. "Pain or Anxiety? The Health Consequences of Rising Robot Adoption in China," Papers 2301.10675, arXiv.org.
    12. Nikolova, Milena & Cnossen, Femke & Nikolaev, Boris, 2024. "Robots, meaning, and self-determination," Research Policy, Elsevier, vol. 53(5).
    13. Gorny, Paul M. & Woodard, Ritchie C., 2020. "Don't Fear the Robots: Automatability and Job Satisfaction," MPRA Paper 103424, University Library of Munich, Germany.
    14. Schröder, M. & Abdin, Z. & Mérida, W., 2020. "Optimization of distributed energy resources for electric vehicle charging and fuel cell vehicle refueling," Applied Energy, Elsevier, vol. 277(C).
    15. Melanie Arntz & Sebastian Findeisen & Stephan Maurer & Oliver Schlenker, 2024. "Are we yet sick of new technologies? The unequal health effects of digitalization," CEP Discussion Papers dp1984, Centre for Economic Performance, LSE.
    16. Yanli Tang & Pengfei Guo & Christopher S. Tang & Yulan Wang, 2021. "Gender‐Related Operational Issues Arising from On‐Demand Ride‐Hailing Platforms: Safety Concerns and System Configuration," Production and Operations Management, Production and Operations Management Society, vol. 30(10), pages 3481-3496, October.
    17. Belloc, Filippo & Burdin, Gabriel & Landini, Fabio, 2020. "Robots and Worker Voice: An Empirical Exploration," IZA Discussion Papers 13799, Institute of Labor Economics (IZA).
    18. Ahmadisedigh, Hossein & Gosselin, Louis, 2022. "How can combined heating and cooling networks benefit from thermal energy storage? Minimizing lifetime cost for different scenarios," Energy, Elsevier, vol. 243(C).
    19. Yuksel, Mujde & Smith, Andrew N. & Milne, George R., 2021. "Fantasy sports and beyond: Complementary digital experiences (CDXs) as innovations for enhancing fan experience," Journal of Business Research, Elsevier, vol. 134(C), pages 143-155.
    20. Benjamin Nitsche, 2021. "Exploring the Potentials of Automation in Logistics and Supply Chain Management: Paving the Way for Autonomous Supply Chains," Logistics, MDPI, vol. 5(3), pages 1-9, August.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:20:y:2023:i:6:p:5111-:d:1096782. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.