LAUSR

Several studies have illuminated how processing manual action verbs (MaVs) affects the programming or execution of concurrent hand movements. Here, to circumvent key confounds in extant designs, we conducted the first assessment of motor-language integration during handwriting-a task in which linguistic and motoric processes are co-substantiated. Participants copied MaVs, non-manual action verbs, and non-action verbs as we collected measures of motor programming and motor execution. Programming latencies were similar across conditions, but execution was faster for MaVs than for the other categories, regardless of whether word meanings were accessed implicitly or explicitly. In line with the Hand-Action-Network Dynamic Language Embodiment (HANDLE) model, such findings suggest that effector-congruent verbs can prime manual movements even during highly automatized tasks in which motoric and verbal processes are naturally intertwined. Our paradigm opens new avenues for fine-grained explorations of embodied language processes.