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Automation-Induced Complacency Potential: Development and Validation of a New Scale.

Stephanie M Merritt1, Alicia Ako-Brew1, William J Bryant1

  • 1Department of Psychological Sciences, University of Missouri-St. Louis, St. Louis, MO, United States.

Frontiers in Psychology
|March 7, 2019
PubMed
Summary
This summary is machine-generated.

Researchers developed a new scale to measure automation-induced complacency potential. The "Monitoring" scale shows promise for predicting complacency in safety-critical roles, offering unique value over existing measures.

Keywords:
automationcomplacencycomplacency potentialmeasurescaletrust

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Area of Science:

  • Human Factors and Ergonomics
  • Cognitive Psychology
  • Automation Safety

Background:

  • Complacency, or reduced vigilance during automation use, contributes to accidents in critical fields like transportation and medicine.
  • Existing measures of automation-induced complacency potential may not align with current conceptualizations of complacency.
  • Individual differences in complacency potential are crucial for predicting and preventing accidents in safety-critical occupations.

Purpose of the Study:

  • To develop and validate a new scale measuring automation-induced complacency potential, reflecting current understanding of complacency.
  • To assess the psychometric properties of the new scale, including its relationship with existing measures and related constructs.
  • To examine the criterion-related validity of the new scale in predicting hypothetical complacency.

Main Methods:

  • Developed 10 new items to measure automation-induced complacency potential, administered to 475 online respondents.
  • Utilized factor analysis to identify underlying scales within the new items, resulting in 'Alleviating Workload' and 'Monitoring' scales.
  • Assessed convergent and discriminant validity against an existing complacency potential scale and measures of trust.

Main Results:

  • The new items formed two distinct scales: 'Alleviating Workload' and 'Monitoring'.
  • 'Alleviating Workload' correlated moderately with the existing scale, while 'Monitoring' did not, suggesting distinct constructs.
  • The 'Monitoring' scale demonstrated discriminant validity and significant criterion-related validity, predicting hypothetical complacency (r = -0.42) with incremental validity over other measures.

Conclusions:

  • The newly developed 'Monitoring' scale shows potential as a valid and valuable measure of automation-induced complacency potential.
  • This new measure may offer unique predictive value for complacency in safety-critical contexts compared to existing scales.
  • Further research is warranted to explore the application and utility of the 'Monitoring' scale in real-world safety-critical environments.