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Sensing defects: Collaborative seeing in engineering work.

Adam Sargent1, Alexandra H Vinson2, Reed Stevens3

  • 1The University of Chicago, Chicago, IL, USA.

Social Studies of Science
|February 3, 2021
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Summary

Professional engineers learn to sense product defects through embodied practices and collaboration with automated systems. This highlights nuanced human-machine integration in engineering, moving beyond simple job loss debates.

Keywords:
automationengineering workhuman-machine interactionperception

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Area of Science:

  • Engineering Practice
  • Sociology of Technology
  • Automation Studies

Background:

  • Recognizing product defects is a critical, yet often underestimated, aspect of professional engineering.
  • Engineers' defect detection contributes to value creation and production process optimization.

Purpose of the Study:

  • To explore how early-career engineers perceive and understand product defects within an automated industrial setting.
  • To analyze the influence of increasing automation on the development of defect-sensing practices.

Main Methods:

  • Qualitative study focusing on early-career engineers in a US-based advanced steel mill.
  • Observation and analysis of embodied and distributed practices in defect recognition.

Main Results:

  • Learning to sense defects involves developing specific 'ways of seeing' and attention, shaped by automation.
  • Defect sensing is an embodied practice requiring sensory discipline but is also distributed across human and non-human elements.
  • Automation influences how engineers perceive and interact with defects, creating new configurations of human-machine collaboration.

Conclusions:

  • The human-machine opposition in automation debates overlooks the intricate ways humans and machines are conjoined in perceptual tasks.
  • Automation's impact should be understood through these evolving configurations and their incorporation of human and machine perceptual practices.