Cue utilization differentiates resource allocation during sustained attention simulated rail control tasks.


Journal

Journal of experimental psychology. Applied
ISSN: 1939-2192
Titre abrégé: J Exp Psychol Appl
Pays: United States
ID NLM: 9507618

Informations de publication

Date de publication:
Sep 2019
Historique:
pubmed: 25 1 2019
medline: 17 1 2020
entrez: 25 1 2019
Statut: ppublish

Résumé

This study was designed to examine whether cue utilization differentiates performance and resource allocation during simulated rail control tasks that contain implicit patterns of train movement. Two experiments were conducted, the first of which involved the completion of a 30-min rail control simulation that required participants to reroute trains either infrequently (monitoring task) or periodically (process control task). In the monitoring condition, participants with lower cue utilization recorded a greater increase in response latency over time. However, in the process control condition, cue utilization failed to differentiate performance. In the second experiment, the duration of the rail control task was increased, and measures of participant fixation rates and cerebral blood flow were taken. Participants with higher cue utilization demonstrated greater decreases in fixation rates, smaller changes in cerebral oxygenation in the prefrontal cortex, and smaller increases in response latencies, compared with participants with lower cue utilization. The results of the study provide support for the assertion that a relatively greater capacity for cue utilization is associated with the allocation of fewer cognitive resources during sustained attention tasks that embody an implicit pattern of activity. (PsycINFO Database Record (c) 2019 APA, all rights reserved).

Identifiants

pubmed: 30676046
pii: 2019-03877-001
doi: 10.1037/xap0000204
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

317-332

Auteurs

Shayne Loft (S)

School of Psychological Science, The University of Western Australia.

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Classifications MeSH