面向可读性测量的未知文档热图生成

Jayasankar Santhosh, Shoya Ishimaru, A. Dengel
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引用次数: 1

摘要

本文背后的关键思想是生成未知文档的固定热图,以可视化和确定文档中的焦点区域,作为文档可读性测量的第一步。数据样本是通过9名被试阅读15份文件来收集的,提出的方法是预测文件中每个单词的注视时间。使用随机森林回归模型预测每个单词的注视时间,所有文献的平均回归得分(R2)为0.757。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Generating Heatmap for Unknown Documents towards Readability Measurement
The key idea behind this paper is to generate fixation heatmap of unknown documents to visualize and determine the focus areas in a document as a first step towards the readability measurement of the document. The data samples were collected by conducting experiment with nine participants reading 15 documents and the proposed method was to predict the fixation duration of each word in the documents. A Random Forest Regression model was used to predict the fixation duration per word and we achieved a mean regression score (R2) of 0.757 for all the documents.
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