Cognitive load of metaphor translation in English-to-Chinese sight translation: An eye-tracking study

This study examined the impact of metaphor complexity on translators’ cognitive load and the interaction between metaphor translation strategies and translators’ cognitive load. The researchers used eye-tracking technology to conduct a quantitative empirical study. Specifically, more complex metaphors require more cognitive resources for translators to process, which is similar to the different response mechanisms shown by cells in biology when responding to external stimuli. The adaptability and response patterns of cells change with increasing pressure. The choice of translation strategy will also affect the effect of this process, so that different translation methods have different levels of cognitive load when dealing with complex metaphors. The results show that there are significant differences in cognitive load between metaphors of different complexity; metaphor translation strategies affect cognitive load, and cognitive load affects the choice of translation strategies. This study provides objective data measurement for translators’ cognitive load in the process of metaphor sight translation. The research results can provide certain inspiration and reference for translators in metaphor sight translation. At the same time, it also helps teachers understand students’ difficulties in metaphor translation and better guide metaphor translation teaching.

Authors

Publication Details

Journal
Molecular & cellular biomechanics
Published
2025-09-16
DOI
https://doi.org/10.62617/mcb1716
Primary Topic
Language, Metaphor, and Cognition
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Cognitive load of metaphor translation in English-to-Chinese sight translation: An eye-tracking study

Peiyu Huang, Xin Li, Xiaojing Wang
Molecular & cellular biomechanics
Language, Metaphor, and Cognition
article

Cognitive load of metaphor translation in English-to-Chinese sight translation: An eye-tracking study

Peiyu Huang, Xin Li, Xiaojing Wang
article en

Abstract

This study examined the impact of metaphor complexity on translators’ cognitive load and the interaction between metaphor translation strategies and translators’ cognitive load. The researchers used eye-tracking technology to conduct a quantitative empirical study. Specifically, more complex metaphors require more cognitive resources for translators to process, which is similar to the different response mechanisms shown by cells in biology when responding to external stimuli. The adaptability and response patterns of cells change with increasing pressure. The choice of translation strategy will also affect the effect of this process, so that different translation methods have different levels of cognitive load when dealing with complex metaphors. The results show that there are significant differences in cognitive load between metaphors of different complexity; metaphor translation strategies affect cognitive load, and cognitive load affects the choice of translation strategies. This study provides objective data measurement for translators’ cognitive load in the process of metaphor sight translation. The research results can provide certain inspiration and reference for translators in metaphor sight translation. At the same time, it also helps teachers understand students’ difficulties in metaphor translation and better guide metaphor translation teaching.

Molecular & cellular biomechanicsVol. 22(5)
Openalex Percentile: Top 74%
Language, Metaphor, and Cognition
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.