Components of task switching: a closer look at task switching and cue switching

Research using the diffusion model to decompose task-switching effects has contributed to a better understanding of the processes underlying the observed effect in the explicit task cueing paradigm: Previous findings could be reconciled with multiple component models of task switching or with an acc...

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Hauptverfasser: Schmitz, Florian (VerfasserIn) , Voß, Andreas (VerfasserIn)
Dokumenttyp: Article (Journal)
Sprache:Englisch
Veröffentlicht: 5 July 2014
In: Acta psychologica
Year: 2014, Jahrgang: 151, Pages: 184-196
ISSN:1873-6297
DOI:10.1016/j.actpsy.2014.06.009
Online-Zugang:Verlag, lizenzpflichtig, Volltext: https://doi.org/10.1016/j.actpsy.2014.06.009
Verlag, lizenzpflichtig, Volltext: http://www.sciencedirect.com/science/article/pii/S0001691814001553
Volltext
Verfasserangaben:Florian Schmitz, Andreas Voss
Beschreibung
Zusammenfassung:Research using the diffusion model to decompose task-switching effects has contributed to a better understanding of the processes underlying the observed effect in the explicit task cueing paradigm: Previous findings could be reconciled with multiple component models of task switching or with an account on compound-cue retrieval/repetition priming. In the present study, we used two cues for each task in order to decompose task-switch and cue-switch effects. Response time data support previous findings that comparable parts of the switching effect can be attributed to cue-switching and task-switching. A diffusion model analysis of the data confirmed that non-decision time is increased and drift rates are decreased in unpredicted task-switches. Importantly, it was shown that non-decision time was selectively increased in task-switching trials but not in cue-switching trials. Results of the present study specifically support the notion of additional processes in task-switches and can be reconciled with broader multiple component accounts.
Beschreibung:Gesehen am 04.09.2020
Beschreibung:Online Resource
ISSN:1873-6297
DOI:10.1016/j.actpsy.2014.06.009