Complacency and Bias in Human Use of Automation: An Attentional Integration

This paper reviews and analyzes empirical studies of automation-related complacency and bias with respect to the cognitive processes involved in order to provide an integrated theoretical model. Results of the review show that complacency and automation bias represent different manifestations of overlapping automation-induced phenomena, with attention playing a central role. An integrated model of complacency and automation bias shows that they result from the dynamic interaction of personal, situational, and automation-related characteristics. Automation complacency occurs under conditions of multiple-task load, when manual tasks compete with the automated task for the operator's attention. Automation complacency is found in both naive and expert participants and cannot be overcome with simple practice. Automation bias results in making both omission and commission errors when decision aids are imperfect. Automation bias occurs in both naive and expert participants, cannot be prevented by training or instructions, and can affect decision making in individuals as well as in teams. While automation bias has been conceived of as a special case of decision bias, this analysis suggests that it also depends on attentional processes similar to those involved in automation-related complacency. The integrated model developed in this paper could be used as a heuristic framework for further research on complacency and automation bias.

Language

  • English

Media Info

  • Media Type: Print
  • Features: Figures; References;
  • Pagination: pp 381-410
  • Serial:

Subject/Index Terms

Filing Info

  • Accession Number: 01324085
  • Record Type: Publication
  • Files: TRIS
  • Created Date: Dec 30 2010 7:30AM