Skip to main content

Task Design in Human-Robot-Interaction Scenarios – Challenges from a Human Factors Perspective

  • Conference paper
  • First Online:

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 592))

Abstract

The production environment is facing a constant change. New technologies emerge and the latest development in the field of direct human-robot-interaction will create new forms of hybrid working systems. The question arises on how to design tasks in these new working systems. The aim of this paper is to outline current conditions of German production work, focusing on task design characteristics. Based on that analysis conclusions are drawn on how to design hybrid work systems using light-weight robots. The paper presents task specific results of two national employee surveys and of a scoping review on job control aspects, as specific task design features. The analyses reveal that task variability, timing and method control have a strong impact on employees’ wellbeing. Based on the findings guidelines for task design in HRI scenarios in manufacturing cells with light-weight robots are presented and discussed.

This is a preview of subscription content, log in via an institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

References

  1. Destatis: EU-Vergleich der Arbeitskosten 2015: Deutschland auf Rang acht. Federal Statistical Office of Germany, Wiesbaden (2016)

    Google Scholar 

  2. Destatis: Anteil der Industrie am BIP seit 20 Jahren nahezu konstant, Federal Statistical Office of Germany, Wiesbaden (2015)

    Google Scholar 

  3. Onnasch, L., et al.: Human performance consequences of stages and levels of automation: an integrated meta-analysis. Hum. Factors 56(3), 476–488 (2014)

    Article  Google Scholar 

  4. Bauer, W., et al.: Lightweight robots in manual assembly—best to start simply! Frauenhofer-Institut für Arbeitswirtschaft und Organisation IAO, Stuttgart (2016)

    Google Scholar 

  5. Destatis: Labour market—employment (national concept) by industries. Federal Statistical Office of Germany (2016)

    Google Scholar 

  6. Hacker, W.: Allgemeine Arbeits- und Ingenieurpsychologie : psychische Struktur und Regulation von Arbeitstätigkeiten, vol. 472. VDR, Berlin (1973)

    Google Scholar 

  7. Karasek, R., Theorell, T.: Healthy Work: Stress, Productivity, and the Reconstruction of Working Life. Basic Books, New York (1990)

    Google Scholar 

  8. Rosen, P.H.: Psychische Gesundheit in der Arbeitswelt - Handlungs- und Entscheidungsspielraum, Aufgabenvariabilität. Bundesanstalt für Arbeitsschutz und Arbeitsmedizin Dortmund (2016)

    Google Scholar 

  9. Bergstrom, G., et al.: Risk factors for new episodes of sick leave due to neck or back pain in a working population. A prospective study with an 18-month and a three-year follow-up. Occup. Environ. Med. 64(4), 279–287 (2007)

    Article  Google Scholar 

  10. MacDonald, L.A., et al.: Covariation between workplace physical and psychosocial stressors: evidence and implications for occupational health research and prevention. Ergonomics 44(7), 696–718 (2001)

    Article  Google Scholar 

  11. Leclerc, A., et al.: Carpal tunnel syndrome and work organisation in repetitive work: a cross sectional study in France. Occup. Environ. Med. 55(3), 180–187 (1998)

    Article  Google Scholar 

  12. Leclerc, A., et al.: Upper-limb disorders in repetitive work. Scand. J. Work Environ. Health 27(4), 268–278 (2001)

    Article  Google Scholar 

  13. Wall, T.D., et al.: The demands-control model of job strain: a more specific test. J. Occup. Org. Psychol. 69(2), 153–166 (1996)

    Article  Google Scholar 

  14. Mullarkey, S., et al.: The impact of technology characteristics and job control on worker mental health. J. Org. Behav. 18(5), 471–489 (1997)

    Article  Google Scholar 

  15. Dvash, A., Mannheim, B.: Technological coupling, job characteristics and operators’ well-being as moderated by desirability of control. Behav. Inf. Technol. 20(3), 225–236 (2010)

    Article  Google Scholar 

  16. Inoue, A., et al.: Organizational justice, psychological distress, and work engagement in Japanese workers. Int. Arch. Occup. Environ. Health 83(1), 29–38 (2010)

    Article  Google Scholar 

  17. Alipour, A., et al.: Four-year incidence of sick leave because of neck and shoulder pain and its association with work and lifestyle. Spine (Phila Pa 1976) 34(4), 413–418 (2009)

    Article  Google Scholar 

  18. Ghaffari, M., et al.: Low back pain among Iranian industrial workers. Occup. Med. 56(7), 455–460 (2006)

    Article  Google Scholar 

  19. Alipour, A., et al.: Occupational neck and shoulder pain among automobile manufacturing workers in Iran. Am. J. Ind. Med. 51(5), 372–379 (2008)

    Article  Google Scholar 

  20. Hsieh, A.-T., Chao, H.-Y.: A reassessment of the relationship between job specialization, job rotation and job burnout: example of Taiwan’s high-technology industry. Int. J. Human Resour. Manag. 15(6), 1108–1123 (2004)

    Article  Google Scholar 

  21. Melamed, S., et al.: Objective and subjective work monotony: effects on job satisfaction, psychological distress, and absenteeism in blue-collar workers—correction. J. Appl. Psychol. 80(4), 538 (1995)

    Article  Google Scholar 

  22. Shimazu, A., Shimazu, M., Odara, T.: Divergent effects of active coping on psychological distress in the context of the job demands-control-support model: the roles of job control and social support. Int. J. Behav. Med. 12(3), 192–198 (2005)

    Article  Google Scholar 

  23. Parker, S.K., Sprigg, C.A.: Minimizing strain and maximizing learning: the role of job demands, job control, and proactive personality. J. Appl. Psychol. 84(6), 925–939 (1999)

    Article  Google Scholar 

  24. Bonde, J.P., et al.: Understanding work related musculoskeletal pain: does repetitive work cause stress symptoms? Occup. Environ. Med. 62(1), 41–48 (2005)

    Article  Google Scholar 

  25. Dwyer, D.J., Ganster, D.C.: The effects of job demands and control on employee attendance and satisfaction. J. Org. Behav. 12(7), 595–608 (1991)

    Article  Google Scholar 

  26. Holman, D., et al.: Job design and the employee innovation process: the mediating role of learning strategies. J. Bus. Psychol. 27(2), 177–191 (2012)

    Article  Google Scholar 

  27. Jorgensen, M., et al.: Characteristics of job rotation in the Midwest US manufacturing sector. Ergonomics 48(15), 1721–1733 (2005)

    Article  Google Scholar 

  28. Frieling, E., Buch, M., Weichel, J.: Ältere Beschäftigte in gewerblich-industriellen Tätigkeiten – ausgewählte Ergebnisse und Handlungsfelder am Beispiel der Montage. Wirtschaftspsychologie 3, 120–128 (2008)

    Google Scholar 

  29. Jackson, P.R., et al.: New measures of job control, cognitive demand, and production responsibility. J. Appl. Psychol. 78(5), 753–762 (1993)

    Article  Google Scholar 

  30. Rohrbach-Schmidt, D., Hall, A.: BIBB/BAuA Employment Survey 2012. F.I.f.V.E.a. Training, Editor, Bonn (2012)

    Google Scholar 

  31. Ulam, P., et al.: Integrated mission specification and task allocation for robot teams-design and implementation. In: Proceedings 2007 IEEE International Conference on Robotics and Automation. IEEE (2007)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Patricia H. Rosen .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2018 Springer International Publishing AG

About this paper

Cite this paper

Rosen, P.H., Wischniewski, S. (2018). Task Design in Human-Robot-Interaction Scenarios – Challenges from a Human Factors Perspective. In: Nunes, I. (eds) Advances in Human Factors and Systems Interaction. AHFE 2017. Advances in Intelligent Systems and Computing, vol 592. Springer, Cham. https://doi.org/10.1007/978-3-319-60366-7_8

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-60366-7_8

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-60365-0

  • Online ISBN: 978-3-319-60366-7

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics