Assessing mental demand in consecutive interpreting: Insights from an fNIRS study

Hao Yan1, Yi Zhang2, Yanqin Feng3

  • 1Key Laboratory for Artificial Intelligence and Cognitive Neuroscience of Language, Xi'an International Studies University, Xi'an 710128, China; Department of Linguistics, Xidian University, Xi'an 710126, China.

Acta Psychologica
|January 17, 2024
PubMed
Summary

Mental workload (MWL) significantly impacts consecutive interpreting performance. High mental demand, a key MWL component, predicts interpretation quality by increasing brain activation in specific regions, affecting novice interpreters.

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