为手写作业提供精准视觉纠错反馈，提升教育评估效率。
Show, don't tell -- Providing Visual Error Feedback for Handwritten Documents
- 将手写图像转为可定位的错误反馈，需解决多层识别难题。
- 模块化与端到端系统当前均无法达到可用的纠错质量。
- 提出未来研究方向，推动手写文档智能反馈发展。
手写仍是教育中的关键技能，因此对手写文档提供可视化反馈至关重要，但该领域研究仍不充分。本文系统分析了从手写图像生成准确、有意义错误反馈所面临的多重挑战。通过实证比较模块化与端到端系统，发现两者目前均未能达到可接受的整体质量。我们识别出主要瓶颈，并提出未来研究议程，以推动该方向的发展。
原文摘要 · Abstract (English)
Handwriting remains an essential skill, particularly in education. Therefore, providing visual feedback on handwritten documents is an important but understudied area. We outline the many challenges when going from an image of handwritten input to correctly placed informative error feedback. We empirically compare modular and end-to-end systems and find that both approaches currently do not achieve acceptable overall quality. We identify the major challenges and outline an agenda for future research.
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