Please use this identifier to cite or link to this item: http://dx.doi.org/10.14279/depositonce-8037
Main Title: Human Performance Consequences of Automated Decision Aids
Subtitle: The Impact of Degree of Automation and System Experience
Author(s): Manzey, Dietrich
Reichenbach, Juliane
Onnasch, Linda
Type: Article
Language Code: en
Is Part Of: 10.14279/depositonce-4924
Abstract: Two experiments are reported that investigate to what extent performance consequences of automated aids are dependent on the distribution of functions between human and automation and on the experience an operator has with an aid. In the first experiment, performance consequences of three automated aids for the support of a supervisory control task were compared. Aids differed in degree of automation (DOA). Compared with a manual control condition, primary and secondary task performance improved and subjective workload decreased with automation support, with effects dependent on DOA. Performance costs include return-to-manual performance issues that emerged for the most highly automated aid and effects of complacency and automation bias, respectively, which emerged independent of DOA. The second experiment specifically addresses how automation bias develops over time and how this development is affected by prior experience with the system. Results show that automation failures entail stronger effects than positive experience (reliably working aid). Furthermore, results suggest that commission errors in interaction with automated aids can depend on three sorts of automation bias effects: (a) withdrawal of attention in terms of incomplete cross-checking of information, (b) active discounting of contradictory system information, and (c) inattentive processing of contradictory information analog to a “looking-but-not-seeing” effect.
URI: https://depositonce.tu-berlin.de//handle/11303/8908
http://dx.doi.org/10.14279/depositonce-8037
Issue Date: 2012
Date Available: 8-Jan-2019
DDC Class: 330 Wirtschaft
Subject(s): automation
automation bias
level of automation
License: http://rightsstatements.org/vocab/InC/1.0/
Journal Title: Journal of Cognitive Engineering and Decision Making
Publisher: SAGE Publications
Publisher Place: Washington, DC
Volume: 6
Issue: 1
Publisher DOI: 10.1177/1555343411433844
Page Start: 57
Page End: 87
EISSN: 1555-3434
ISSN: 1555-3434
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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