Supporting Attention Allocation in Multitask Environments

dc.contributor.authorWiczorek, Rebecca
dc.contributor.authorManzey, Dietrich
dc.date.accessioned2019-01-08T17:56:10Z
dc.date.available2019-01-08T17:56:10Z
dc.date.issued2014
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.abstractObjective: The aim of the current study was to investigate potential benefits of likelihood alarm systems (LASs) over binary alarm systems (BASs) in a multitask environment. Background: Several problems are associated with the use of BASs, because most of them generate high numbers of false alarms. Operators lose trust in the systems and ignore alarms or cross-check all of them when other information is available. The first behavior harms safety, whereas the latter one reduces productivity. LASs represent an alternative, which is supposed to improve operators’ attention allocation. Method: We investigated LASs and BASs in a dual-task paradigm with and without the possibility to cross-check alerts with raw data information. Participants’ trust in the system, their behavior, and their performance in the alert and the concurrent task were assessed. Results: Reported trust, compliance with alarms, and performance in the alert and the concurrent task were higher for the LAS than for the BAS. The cross-check option led to an increase in alert task performance for both systems and a decrease in concurrent task performance for the BAS, which did not occur in the LAS condition. Conclusion: LASs improve participants’ attention allocation between two different tasks and therefore lead to an increase in alert task and concurrent task performance. The performance maximum is achieved when LAS is combined with a cross-check option for validating alerts with additional information. Application: The use of LASs instead of BASs in safety-related multitask environments has the potential to increase safety and productivity likewise.en
dc.identifier.eissn1547-8181
dc.identifier.issn0018-7208
dc.identifier.urihttps://depositonce.tu-berlin.de/handle/11303/8959
dc.identifier.urihttp://dx.doi.org/10.14279/depositonce-8088
dc.language.isoen
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/
dc.subject.ddc300 Sozialwissenschaftende
dc.subject.ddc610 Medizin und Gesundheitde
dc.subject.otherautomationen
dc.subject.othergraded warningsen
dc.subject.otherdecision support systemsen
dc.subject.othercomplianceen
dc.subject.othertrusten
dc.subject.othersafetyen
dc.subject.othersignal detection theoryen
dc.titleSupporting Attention Allocation in Multitask Environmentsen
dc.title.subtitleEffects of Likelihood Alarm Systems on Trust, Behavior, and Performanceen
dc.typeArticleen
dc.type.versionpublishedVersionen
dcterms.bibliographicCitation.doi10.1177/0018720814528534
dcterms.bibliographicCitation.issue7
dcterms.bibliographicCitation.journaltitleHuman Factors: The Journal of the Human Factors and Ergonomics Societyen
dcterms.bibliographicCitation.originalpublishernameSAGE Publicationsen
dcterms.bibliographicCitation.originalpublisherplaceWashington, DCen
dcterms.bibliographicCitation.pageend1221
dcterms.bibliographicCitation.pagestart1209
dcterms.bibliographicCitation.volume56
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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