ArticleFrontiers in psychology2023
Translation directionality and the Inhibitory Control Model: a machine learning approach to an eye-tracking study.
Article in Frontiers in psychology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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3 citing papers in PubMed.
- Examining cognitive load in human-machine collaborative translation: insights from eye-tracking experiments of Chinese-English translation.Frontiers in psychology · 2025Article
- Pupillometry and autonomic nervous system responses to cognitive load and false feedback: an unsupervised machine learning approach.Frontiers in neuroscience · 2024Article
- Chunking in simultaneous interpreting: the impact of task complexity and translation directionality on lexical bundles.Frontiers in psychology · 2023Article
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2 authors.
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Abstract
Introduction: Based on such physiological data as pupillometry collected in an eye-tracking experiment, the study has further confirmed the effect of directionality on cognitive loads during L1 and L2 textual translations by novice translators, a phenomenon called "translation asymmetry" suggested by the Inhibitory Control Model, while revealing that machine learning-based approaches can be usefully applied to the field of Cognitive Translation and Interpreting Studies. Methods: Directionality was the only factor guiding the eye-tracking experiment where 14 novice translators with the language combination of Chinese and English were recruited to conduct L1 and L2 translations while their pupillometry were recorded. They also filled out a Language and Translation Questionnaire with which categorical data on their demographics were obtained. Results: A nonparametric related-samples Wilcoxon signed rank test on pupillometry verified the effect of directionality, suggested by the model, during bilateral translations, verifying "translation asymmetry" at a Conclusion: The study has shown that translation asymmetry suggested by the model was valid at a
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