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Dual-Task Performance: Theoretical Analysis and an Event-Coding Account

Authors: Hommel, B.;

Dual-Task Performance: Theoretical Analysis and an Event-Coding Account

Abstract

Theorizing on dual- and multi-tasking has not made much progress since the early insight of Telford (1931) and Welford (1952) that response selection may represent a bottleneck in human information processing. A closer look reveals that the questions being asked in dual-task research are not particularly interesting or realistic, and the answers being given lack mechanistic detail. In fact, present theorizing can be considered mere empirical generalization, which has led to merely labeling processing bottlenecks rather than describing how they operate and how they actually produce the bottleneck. As a template for how to overcome this theoretical gap, the Theory of Event Coding (TEC) is applied to dual-task performance. It is shown that TEC, which has not been developed to account for, and has not yet been applied to dual-task performance and its deficits, can nevertheless easily account for the key findings guiding resource and stage theories, while making the underlying mechanisms explicit and transparent. It is thus suggested to consider multitasking costs a mere byproduct of the typical functioning of the cognitive system that needs no dedicated niche theorizing. Rather, what is needed is more mechanistic detail and a more integrative account that can deal with findings related to both resource theory and stage theory.

Country
Netherlands
Related Organizations
Keywords

Consciousness. Cognition, action, Action; Cognitive Control; Executive functions, cognitive control, executive functions, BF309-499, Research Article

  • BIP!
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    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    26
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
26
Top 10%
Average
Top 10%
Green
gold