Decoding the Digits: How Number Notation Influences Cognitive Effort and Performance in Chinese-to-English Sight Translation

Numbers present persistent challenges in interpreting, yet cognitive mechanisms underlying notation-specific processing remain underexplored. While eye-tracking studies in visually-assisted simultaneous interpreting have advanced number research, they predominantly examine Arabic numerals in non-Chinese contexts-neglecting notation diversity increasingly prevalent in computer-assisted interpreting systems where Automatic Speech Recognition outputs vary across languages. Addressing these gaps, this study investigated how number notation (Arabic digits vs. Chinese character numbers) affects trainee interpreters' cognitive effort and performance in Chinese-to-English sight translation. Employing a mixed-methods design, we measured global (task-level) and local (number-specific) eye movements alongside expert assessments, output analysis, and subjective assessments. Results show that Chinese character numbers demand significantly greater cognitive effort than Arabic digits, evidenced by more and longer fixations, more extensive saccadic movements, and a larger eye-voice span. Concurrently, sight translation quality decreased markedly with Chinese character numbers, with more processing attempts yet lower accuracy and fluency. Subjective workload ratings confirmed higher mental, physical, and temporal demands in Task 2. These findings reveal an effort-quality paradox where greater cognitive investment in processing complex notations leads to poorer outcomes, and highlight the urgent need for notation-specific training strategies and adaptive technologies in multilingual communication.

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Publication Details

Journal
Behavioral Sciences
Published
2025-09-01
DOI
https://doi.org/10.3390/bs15091195
Citations
1
Primary Topic
Interpreting and Communication in Healthcare
Type
article
Field-Weighted Citation Impact
2.82

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article

Decoding the Digits: How Number Notation Influences Cognitive Effort and Performance in Chinese-to-English Sight Translation

Lei Song, Shanshan Yang, Xuejing Zong
1 citations
Behavioral Sciences
Interpreting and Communication in Healthcare
2.82
article

Decoding the Digits: How Number Notation Influences Cognitive Effort and Performance in Chinese-to-English Sight Translation

Lei Song, Shanshan Yang, Xuejing Zong
article en
1 citations

Abstract

Numbers present persistent challenges in interpreting, yet cognitive mechanisms underlying notation-specific processing remain underexplored. While eye-tracking studies in visually-assisted simultaneous interpreting have advanced number research, they predominantly examine Arabic numerals in non-Chinese contexts-neglecting notation diversity increasingly prevalent in computer-assisted interpreting systems where Automatic Speech Recognition outputs vary across languages. Addressing these gaps, this study investigated how number notation (Arabic digits vs. Chinese character numbers) affects trainee interpreters' cognitive effort and performance in Chinese-to-English sight translation. Employing a mixed-methods design, we measured global (task-level) and local (number-specific) eye movements alongside expert assessments, output analysis, and subjective assessments. Results show that Chinese character numbers demand significantly greater cognitive effort than Arabic digits, evidenced by more and longer fixations, more extensive saccadic movements, and a larger eye-voice span. Concurrently, sight translation quality decreased markedly with Chinese character numbers, with more processing attempts yet lower accuracy and fluency. Subjective workload ratings confirmed higher mental, physical, and temporal demands in Task 2. These findings reveal an effort-quality paradox where greater cognitive investment in processing complex notations leads to poorer outcomes, and highlight the urgent need for notation-specific training strategies and adaptive technologies in multilingual communication.

Behavioral SciencesVol. 15(9)
Central China Normal University (CN)
Fundamental Research Funds for the Central Universities
Openalex Percentile: Top 9%
Interpreting and Communication in Healthcare
2.82
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