Enhancing Text Comprehension for Dyslexic Readers: A 3D Semantic Visualization Approach Using Transformer Mode
Fuente:
arXiv
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| Natura: | Preprint |
| Pubblicazione: |
2025
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| _version_ | 1866915324616507392 |
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| author | Li, Zhengyang |
| author_facet | Li, Zhengyang |
| contents | Dyslexic individuals often face significant challenges with traditional reading, particularly when engaging with complex texts such as mystery novels. These texts typically demand advanced narrative tracking and information integration skills, making it difficult for dyslexic readers to fully comprehend the content. However, research indicates that while dyslexic individuals may struggle with textual processing, they often possess strong spatial imagination abilities. Leveraging this strength, this study proposes an innovative approach using Transformer models to map sentences and words into three-dimensional vector representations. This process clusters semantically similar sentences and words in spatial proximity, allowing dyslexic readers to interpret the semantic structure and narrative flow of the text through spatial perception. Experimental results demonstrate that, compared to direct text reading, this three-dimensional semantic visualization method significantly enhances dyslexic readers' comprehension of complex texts. In particular, it shows marked advantages in identifying narrative relationships and character connections. This study provides a novel pathway for improving textual comprehension among dyslexic individuals |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2506_03731 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Enhancing Text Comprehension for Dyslexic Readers: A 3D Semantic Visualization Approach Using Transformer Mode Li, Zhengyang Human-Computer Interaction Dyslexic individuals often face significant challenges with traditional reading, particularly when engaging with complex texts such as mystery novels. These texts typically demand advanced narrative tracking and information integration skills, making it difficult for dyslexic readers to fully comprehend the content. However, research indicates that while dyslexic individuals may struggle with textual processing, they often possess strong spatial imagination abilities. Leveraging this strength, this study proposes an innovative approach using Transformer models to map sentences and words into three-dimensional vector representations. This process clusters semantically similar sentences and words in spatial proximity, allowing dyslexic readers to interpret the semantic structure and narrative flow of the text through spatial perception. Experimental results demonstrate that, compared to direct text reading, this three-dimensional semantic visualization method significantly enhances dyslexic readers' comprehension of complex texts. In particular, it shows marked advantages in identifying narrative relationships and character connections. This study provides a novel pathway for improving textual comprehension among dyslexic individuals |
| title | Enhancing Text Comprehension for Dyslexic Readers: A 3D Semantic Visualization Approach Using Transformer Mode |
| topic | Human-Computer Interaction |
| url | https://arxiv.org/abs/2506.03731 |