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...
Gespeichert in:
| Hauptverfasser: | , |
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| Dokumenttyp: | Article (Journal) |
| Sprache: | Englisch |
| Veröffentlicht: |
5 July 2014
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| 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 
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| Verfasserangaben: | Florian Schmitz, Andreas Voss |
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| 520 | |a 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. | ||
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