Corrigendum to “An eye tracker based on webcam and its preliminary application evaluation in Chinese reading tests” [Biomed. Signal Process. Control 74 (2022) 103521]

Lin, Zhongjun; Liu, Yinghua; Wang, Hui; Liu, Zhengji; Cai, Sijin; Zheng, Zhicheng; Zhou, Yongjin; Zhang, Xinyu

doi:10.1016/j.bspc.2022.103732

Biomedical Signal Processing and Control

2022

DOI: 10.1016/j.bspc.2022.103732

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Corrigendum to “An eye tracker based on webcam and its preliminary application evaluation in Chinese reading tests” [Biomed. Signal Process. Control 74 (2022) 103521]

Zhongjun Lin

Yinghua Liu

Hui Wang

et al.

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Exploring the Use of ChatGPT for Generating Chinese Reading Materials in Eye-Tracking (Preprint)

Huang¹,

Jiang²,

Xu³

et al. 2023

Preprint

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BACKGROUND Prior research has uncovered the significance of eye-tracking experiment with text reading in neuroscience research for assessing cognitive function. Further studies have highlighted the need for more reading materials with higher levels of difficulty to ensure optimal experimental outcomes. Unfortunately, the current approach predominantly relies on laborious and inefficient manual production of such texts. OBJECTIVE This study aims to use ChatGPT to generate tailored Chinese reading materials for eye-tracking experiments with Chinese-sentence-reading-tests, taking into consideration the exceptional language analysis abilities of ChatGPT and its user-friendly accessibility worldwide. METHODS After selecting appropriate sentence from Chinese literary works, the high-frequency word in the sentences are replaced by ChatGPT with low-frequency word, resulting in sentence with increased reading difficulty. RESULTS The word frequency of the low-frequency words generated by ChatGPT notably decreases compared to the original high-frequency words, and the decrease ratio in word frequency can reach 82.3%. Employing the Wilcoxon Rank-Sum Test and T-test to assess the disparities between the low-frequency and high-frequency groups, the majority of groups exhibit P-values below 0.04. CONCLUSIONS The findings of this study highlight the varied effectiveness of ChatGPT in word replacement across different parts of speech. Nouns and verbs show superior substitution outcomes compared to adjectives. The performance also varies depending on the specific Chinese literary works employed, with superior performance in generating reading materials from contemporary Chinese literary works as opposed to modern ones. CLINICALTRIAL ChatGPT; Eye-Tracking; Reading Test; Chinese; Word frequency

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Exploring the Use of ChatGPT for Generating Chinese Reading Materials in Eye-Tracking (Preprint)

Huang¹,

Jiang²,

Xu³

et al. 2023

Preprint

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show abstract

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Corrigendum to “An eye tracker based on webcam and its preliminary application evaluation in Chinese reading tests” [Biomed. Signal Process. Control 74 (2022) 103521]

Cited by 1 publication

References 0 publications

Exploring the Use of ChatGPT for Generating Chinese Reading Materials in Eye-Tracking (Preprint)

Exploring the Use of ChatGPT for Generating Chinese Reading Materials in Eye-Tracking (Preprint)

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