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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
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.
Area of Science:
- Cognitive Science
- Neuroscience
- Linguistics
Background:
- Consecutive interpreting is a cognitively demanding task.
- Mental workload (MWL) is critical for interpreter performance and can lead to errors.
- Existing research often uses a global MWL score, neglecting individual component impacts.
Purpose of the Study:
- To investigate the specific components of MWL affecting consecutive interpreting quality.
- To explore the relationship between MWL, brain activity, and interpretation performance in novice interpreters.
- To examine the mediating role of brain activation in the MWL-performance relationship.
Main Methods:
- Recruited 20 novice postgraduate interpreters for consecutive interpreting tasks.
- Utilized functional near-infrared spectroscopy (fNIRS) to monitor brain hemodynamic responses.
- Employed the NASA-TLX questionnaire to measure six MWL components and expert assessment for interpretation quality.
Main Results:
- Mental demand was identified as the strongest contributor to interpretation quality.
- A positive correlation was found between mental demand and brain activation in three brain areas.
- Increased brain activation mediated by mental demand negatively correlated with interpretation quality.
Conclusions:
- Mental demand significantly predicts consecutive interpretation quality through brain activation.
- The identified brain areas (inferior frontal gyrus, middle temporal gyrus, inferior temporal gyrus) align with Gile's effort model.
- Findings offer insights for optimizing interpreter training and learning strategies.
Keywords:
Brain activationConsecutive interpretingFunctional near-infrared spectroscopy (fNIRS)Mental workloadNASA-TLX
