Please use this identifier to cite or link to this item: http://dx.doi.org/10.14279/depositonce-8052
Main Title: Complacency and Bias in Human Use of Automation: An Attentional Integration
Author(s): Parasuraman, Raja
Manzey, Dietrich
Type: Article
Language Code: en
Abstract: Objective: Our aim was to review empirical studies of complacency and bias in human interaction with automated and decision support systems and provide an integrated theoretical model for their explanation. Background: Automation-related complacency and automation bias have typically been considered separately and independently. Methods: Studies on complacency and automation bias were analyzed with respect to the cognitive processes involved. Results: 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, our analysis suggests that it also depends on attentional processes similar to those involved in automation-related complacency. Conclusion: 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. Application: The integrated model and attentional synthesis provides a heuristic framework for further research on complacency and automation bias and design options for mitigating such effects in automated and decision support systems.
URI: https://depositonce.tu-berlin.de//handle/11303/8923
http://dx.doi.org/10.14279/depositonce-8052
Issue Date: 2010
Date Available: 8-Jan-2019
DDC Class: 300 Sozialwissenschaften
610 Medizin und Gesundheit
Subject(s): attention
automation-related complacency
automation bias
decision making
human-computer interaction
trust
License: http://rightsstatements.org/vocab/InC/1.0/
Journal Title: Human Factors: The Journal of the Human Factors and Ergonomics Society
Publisher: SAGE Publications
Publisher Place: Washington, DC
Volume: 52
Issue: 3
Publisher DOI: 10.1177/0018720810376055
Page Start: 381
Page End: 410
EISSN: 1547-8181
ISSN: 0018-7208
Notes: Dieser Beitrag ist mit Zustimmung des Rechteinhabers aufgrund einer (DFG geförderten) Allianz- bzw. Nationallizenz frei zugänglich.
This publication is with permission of the rights owner freely accessible due to an Alliance licence and a national licence (funded by the DFG, German Research Foundation) respectively.
Appears in Collections:FG Arbeits-, Ingenieur- und Organisationspsychologie » Publications

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