STRATEGIES FOR REDUCING COGNITIVE LOAD IN INTERPRETING

Abstract

This article investigates cognitive load, a key and heterogeneous factor influencing the quality, speed, and long- term durability of interpreting performance. As simultaneous and consecutive interpreting depend heavily on working memory capacity, interpreters must constantly manage the different cognitive demands and, in turn, identify effective load-reduction strategies to reduce errors and maintain accuracy under stress. The research aims to systematically analyze the theoretical basis of cognitive load in interpreting and to propose strategies to minimize overload by synthesizing information from cognitive linguistics, psycholinguistics, and cognitive psychology. The study provides an overview of influential cognitive load models, including D. Gill’s theory of effort and Sweller’s cognitive load theory, and presents a structured taxonomy that differentiates intrinsic, extraneous, and germane sources of cognitive load. The article also contrasts multiple load reduction strategies, including skill automation, optimized mental workspace organization, CAT tools, terminology management systems, and relaxation and/or mindfulness practices that promote attentional stability and cognitive endurance. Pedagogical interventions focusing on future interpreters’ learning (resilience, multitasking effectiveness, sustainable cognitive habits) are provided. Future research directions also highlight valuable areas for exploration (e.g., incorporating biometric measures into cognitive load determination and developing individualized training programs tailored to unique cognitive abilities). The study suggests that cognitive load is not in the background but in the center, influencing accuracy, productivity, adaptability, and long- term performance stability.