"Looking for the defect": The emerging frontiers between the work activity and automation in a cork industrial district

Work. 2022;73(s1):S235-S251. doi: 10.3233/WOR-211132.

Abstract

Background: The division of labour between workers and machines is the motto for the current debate on the future of work, as the number of tasks that can potentially be automated increases. Despite receiving significant interest, to date, this debate has focused on forecasts that estimate the potential for machine substitution and thus overshadow the activity perspective.

Objective: This study aims to address the frontiers between human operators and automation in a Portuguese industrial district and to understand how the embodied know-how of expert workers is used when they face the requirements of automated machines.

Methods: A qualitative approach to ergonomic analysis was employed in two cork companies, including exploratory interviews with managerial staff; work activity observations (combining observations with video recordings); collective interviews with the workers; and collective meetings to validate our results and conclusions.

Results: The workers revealed operating modes related to sensory aspects to face the cork-related variability and the limits of automated machines. The human-machine configurations call for the experience of the senses, at the material-corporeal level, and for the preservation of reference points of the activity, mostly in the operation of seeing the cork stoppers.

Conclusions: The competent act of seeing the cork stoppers, as an operational expertise layer, enriches the theoretical allocation of tasks between workers and machines. Future challenges for activity-centred ergonomics and work psychology fields are identified, drawing attention to the sustainable development of work, i.e., work activities where people may learn from experience and remain healthy within automated work environments.

Keywords: Human-machine; activity-centred ergonomics; cork industry; embodied know-how; work psychology.

MeSH terms

  • Automation
  • Ergonomics*
  • Humans
  • Industry*