Human Performance Consequences of Automated Decision Aids

dc.contributor.authorManzey, Dietrich
dc.contributor.authorReichenbach, Juliane
dc.contributor.authorOnnasch, Linda
dc.date.accessioned2019-01-08T17:45:16Z
dc.date.available2019-01-08T17:45:16Z
dc.date.issued2012
dc.descriptionDieser Beitrag ist mit Zustimmung des Rechteinhabers aufgrund einer (DFG geförderten) Allianz- bzw. Nationallizenz frei zugänglich.de
dc.descriptionThis 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.en
dc.description.abstractTwo 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.en
dc.identifier.eissn1555-3434
dc.identifier.issn1555-3434
dc.identifier.urihttps://depositonce.tu-berlin.de/handle/11303/8908
dc.identifier.urihttp://dx.doi.org/10.14279/depositonce-8037
dc.language.isoen
dc.relation.ispartof10.14279/depositonce-4924
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/
dc.subject.ddc330 Wirtschaftde
dc.subject.otherautomationen
dc.subject.otherautomation biasen
dc.subject.otherlevel of automationen
dc.titleHuman Performance Consequences of Automated Decision Aidsen
dc.title.subtitleThe Impact of Degree of Automation and System Experienceen
dc.typeArticleen
dc.type.versionpublishedVersionen
dcterms.bibliographicCitation.doi10.1177/1555343411433844
dcterms.bibliographicCitation.issue1
dcterms.bibliographicCitation.journaltitleJournal of Cognitive Engineering and Decision Makingen
dcterms.bibliographicCitation.originalpublishernameSAGE Publicationsen
dcterms.bibliographicCitation.originalpublisherplaceWashington, DCen
dcterms.bibliographicCitation.pageend87
dcterms.bibliographicCitation.pagestart57
dcterms.bibliographicCitation.volume6
tub.accessrights.dnbdomain
tub.affiliationFak. 5 Verkehrs- und Maschinensysteme::Inst. Psychologie und Arbeitswissenschaft::FG Arbeits-, Ingenieur- und Organisationspsychologiede
tub.affiliation.facultyFak. 5 Verkehrs- und Maschinensystemede
tub.affiliation.groupFG Arbeits-, Ingenieur- und Organisationspsychologiede
tub.affiliation.instituteInst. Psychologie und Arbeitswissenschaftde
tub.publisher.universityorinstitutionTechnische Universität Berlinde

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