Afonso Olivia, Suárez-Coalla Paz, Cuetos Fernando, Ibáñez Agustín, Sedeño Lucas, García Adolfo M
Department of Psychology, Health, & Professional Development, Faculty of Health & Life Sciences, Oxford Brookes University.
Department of Psychology, Universidad de Oviedo.
Cogn Sci. 2019 Jul;43(7):e12767. doi: 10.1111/cogs.12767.
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.
多项研究阐明了处理手动动作动词（MaV）如何影响同时进行的手部动作的编程或执行。在此，为了规避现有设计中的关键混淆因素，我们对手写过程中的运动-语言整合进行了首次评估——在这项任务中，语言和运动过程是共同体现的。当我们收集运动编程和运动执行的测量数据时，参与者抄写MaV、非手动动作动词和非动作动词。不同条件下的编程潜伏期相似，但无论单词意义是被隐性还是显性获取，MaV的执行速度都比其他类别更快。与手部动作网络动态语言体现（HANDLE）模型一致，这些发现表明，即使在运动和语言过程自然交织的高度自动化任务中，与效应器一致的动词也能启动手部动作。我们的范式为深入探索具身语言过程开辟了新途径。
