Effector System Prioritization in Multitasking

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Multitasking, defined as performing more than one task at a time, typically yields performance decrements, for instance, in processing speed and accuracy. These performance costs are often distributed asymmetrically among the involved tasks. Under suitable conditions, this can be interpreted as a marker for prioritization of one task – the one that suffers less – over the other. One source of such task prioritization is based on the use of different effector systems (e.g., oculomotor system, vocal tract, limbs) and their characteristics. The present work explores such effector system-based task prioritization by examining to which extent associated effector systems determine which task is processed with higher priority in multitasking situations. Thus, three different paradigms are used, namely the simultaneous (stimulus) onset paradigm, the psychological refractory period (PRP) paradigm, and the task switching paradigm. These paradigms invoke situations in which two (in the present studies basic spatial decision) tasks are a) initiated at exactly the same time, b) initiated with a short varying temporal distance (but still temporally overlapping), or c) in which tasks alternate randomly (without temporal overlap). The results allow for three major conclusions: 1. The assumption of effector system-based task prioritization according to an ordinal pattern (oculomotor > pedal > vocal > manual, indicating decreasing prioritization) is supported by the observed data in the simultaneous onset paradigm. This data pattern cannot be explained by a rigid “first come, first served” task scheduling principle. 2. The data from the PRP paradigm confirmed the assumption of vocal-over-manual prioritization and showed that classic PRP effects (as a marker for task order-based prioritization) can be modulated by effector system characteristics. 3. The mere cognitive representation of task sets (that must be held active to switch between them) differing in effector systems without an actual temporal overlap in task processing, however, is not sufficient to elicit the same effector system prioritization phenomena observed for overlapping tasks. In summary, the insights obtained by the present work support the assumptions of parallel central task processing and resource sharing among tasks, as opposed to exclusively serial processing of central processing stages. Moreover, they indicate that effector systems are a crucial factor in multitasking and suggest an integration of corresponding weighting parameters in existing dual-task control frameworks.