The attention-load paradigm crystallized the view that performance is governed by a finite attentional reservoir, with task demands driving declines in speed and accuracy as resources are stretched. Researchers integrated dual-task designs with physiological measures and early cognitive indices to map how automatic and controlled processing are allocated under increasing load. This period established methodological templates for linking performance, autonomic indices, and early neural signals to resource distribution and bottlenecks.