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Main Title: Supporting Attention Allocation in Multitask Environments
Subtitle: Effects of Likelihood Alarm Systems on Trust, Behavior, and Performance
Author(s): Wiczorek, Rebecca
Manzey, Dietrich
Type: Article
Language Code: en
Abstract: Objective: 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.
Issue Date: 2014
Date Available: 8-Jan-2019
DDC Class: 300 Sozialwissenschaften
610 Medizin und Gesundheit
Subject(s): automation
graded warnings
decision support systems
signal detection theory
Journal Title: Human Factors: The Journal of the Human Factors and Ergonomics Society
Publisher: SAGE Publications
Publisher Place: Washington, DC
Volume: 56
Issue: 7
Publisher DOI: 10.1177/0018720814528534
Page Start: 1209
Page End: 1221
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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