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dc.contributor.authorVallières, Benoît R.
dc.contributor.authorHodgetts, Helen M.
dc.contributor.authorVachon, François
dc.contributor.authorTremblay, Sébastien
dc.date.accessioned2017-02-01T15:49:32Z
dc.date.available2017-02-01T15:49:32Z
dc.date.issued2016-12-19
dc.identifier.citationVallières, B.R., Hodgetts, H.M., Vachon, F. and Tremblay, S. (2016) 'Supporting dynamic change detection: using the right tool for the task' 1:32. doi:10.1186/s41235-016-0033-4en_US
dc.identifier.issn2365-7464
dc.identifier.urihttp://hdl.handle.net/10369/8325
dc.descriptionThis article was published in Cognitive Research: Principles and Implications on 19 December 2016 (online) available at http://dx.doi.org/10.1186/s41235-016-0033-4en_US
dc.description.abstractDetecting task-relevant changes in a visual scene is necessary for successfully monitoring and managing dynamic command and control situations. Change blindness—the failure to notice visual changes—is an important source of human error. Change History EXplicit (CHEX) is a tool developed to aid change detection and maintain situation awareness; and in the current study we test the generality of its ability to facilitate the detection of changes when this subtask is embedded within a broader dynamic decision-making task. A multitasking air-warfare simulation required participants to perform radar-based subtasks, for which change detection was a necessary aspect of the higher-order goal of protecting one’s own ship. In this task, however, CHEX rendered the operator even more vulnerable to attentional failures in change detection and increased perceived workload. Such support was only effective when participants performed a change detection task without concurrent subtasks. Results are interpreted in terms of the NSEEV model of attention behavior (Steelman, McCarley, & Wickens, Hum. Factors 53:142–153, 2011; J. Exp. Psychol. Appl. 19:403–419, 2013), and suggest that decision aids for use in multitasking contexts must be designed to fit within the available workload capacity of the user so that they may truly augment cognition.en_US
dc.language.isoenen_US
dc.publisherSpringeren_US
dc.relation.ispartofseriesCognitive Research: Principles and Implications;
dc.subjectChanging Blindnessen_US
dc.subjectDynamic decision-makingen_US
dc.subjectChange History EXplicit (CHEX)en_US
dc.subjectEye trackingen_US
dc.subjectDecision support systemen_US
dc.titleSupporting dynamic change detection: using the right tool for the tasken_US
dc.typeArticleen_US
dc.identifier.doihttp://dx.doi.org/10.1186/s41235-016-0033-4
dcterms.dateAccepted2016-11-17
rioxxterms.funderCardiff Metropolitan Universityen_US
rioxxterms.identifier.projectCardiff Metropolian (Internal)en_US
rioxxterms.versionVoRen_US
rioxxterms.licenseref.urihttps://creativecommons.org/licenses/by/4.0/en_US
rioxxterms.licenseref.startdate2017-02-01
rioxxterms.funder.project37baf166-7129-4cd4-b6a1-507454d1372een_US


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