听还是读?熟练程度和视觉复杂性对学习者对字幕依赖的影响。

IF 2.5 3区 心理学 Q2 PSYCHOLOGY, MULTIDISCIPLINARY
Yan Li
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引用次数: 0

摘要

本研究探讨了低水平和高水平的中国英语学习者在观看视频时如何在字幕和音频之间分配注意力,以及视觉复杂性(单说话者与多说话者内容)如何影响字幕依赖。该研究采用了一种新的暂停转录方法来评估实时处理。共有64名参与者(31名低水平[A1-A2]学习者和33名高水平[C1-C2]学习者)观看了带有英语字幕的单讲和多讲视频。插入误导性字幕是为了客观地衡量人们对字幕和音频的依赖程度。结果显示:低水平学习者优先选择字幕(阅读得分>,听力得分Z = -4.55, p < 0.001, r = 0.82),高水平学习者优先选择音频(听力得分>,阅读得分Z = -5.12, p < 0.001, r = 0.89)。多说话者视频放大了低水平学习者对字幕的依赖(r = 0.75),中等程度地增加了高水平学习者对字幕的依赖(r = 0.52)。这些发现表明,低水平学习者在观看视频时绝大多数依赖字幕,而高水平学习者则整合了多模态输入。值得注意的是,视觉复杂性的增加放大了不同熟练程度对标题的依赖。其影响是双重的:在教学上,随着技能的提高,教育工作者可以设计分层的标题删除协议,同时结合可调节的标题不透明度工具。从技术上讲,未来的研究可以专注于开发动态字幕系统,利用眼动追踪和人工智能来适应实时能力,优化学习体验。此外,视频的复杂性应该根据学习者的熟练程度进行校准。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Listen or Read? The Impact of Proficiency and Visual Complexity on Learners' Reliance on Captions.

This study investigates how Chinese EFL (English as a foreign language) learners of low- and high-proficiency levels allocate attention between captions and audio while watching videos, and how visual complexity (single- vs. multi-speaker content) influences caption reliance. The study employed a novel paused transcription method to assess real-time processing. A total of 64 participants (31 low-proficiency [A1-A2] and 33 high-proficiency [C1-C2] learners) viewed single- and multi-speaker videos with English captions. Misleading captions were inserted to objectively measure reliance on captions versus audio. Results revealed significant proficiency effects: Low-proficiency learners prioritized captions (reading scores > listening, Z = -4.55, p < 0.001, r = 0.82), while high-proficiency learners focused on audio (listening > reading, Z = -5.12, p < 0.001, r = 0.89). Multi-speaker videos amplified caption reliance for low-proficiency learners (r = 0.75) and moderately increased reliance for high-proficiency learners (r = 0.52). These findings demonstrate that low-proficiency learners rely overwhelmingly on captions during video viewing, while high-proficiency learners integrate multimodal inputs. Notably, increased visual complexity amplifies caption reliance across proficiency levels. Implications are twofold: Pedagogically, educators could design tiered caption removal protocols as skills improve while incorporating adjustable caption opacity tools. Technologically, future research could focus on developing dynamic captioning systems leveraging eye-tracking and AI to adapt to real-time proficiency, optimizing learning experiences. Additionally, video complexity should be calibrated to learners' proficiency levels.

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来源期刊
Behavioral Sciences
Behavioral Sciences Social Sciences-Development
CiteScore
2.60
自引率
7.70%
发文量
429
审稿时长
11 weeks
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