基于视觉行为与文本特征分析的阅读批注生成方法

提出一种阅读辅助方法，利用一种分级锚定方法确定目标文本，构造与用户视觉行为和目标文本特征相关的需求判定因子，根据这些因子计算用户对阅读辅助的需求度，从而判定用户对目标文本是否有单词翻译或长难句摘要方面的需求. 当判定用户有需求时，以批注的形式显示单词词义或长难句摘要. 实验结果表明，提出的用户需求判定方法平均精确率达到了80.6% ± 6.3%，自动批注提高了用户的阅读效率和主观体验，验证了该方法的可行性和有效性.

Reading annotation generation method through analysis of visual behavior and text features

A reading aid method was proposed. A hierarchical anchoring method was used to determine the target text, in order to construct the demand determination factors related to the user’s visual behavior and the features of the target text, and to calculate the user's demand degree for reading aid based on these factors, so as to determine whether the user had the demand for word translation or long sentence summary of the target text. When the demand of the user was determined, the word meaning or long difficult sentence summary was displayed in the form of annotation. The test results show that the average accuracy of this method reached 80.6% ± 6.3%, and the automatically generated annotation can improve the user’s reading efficiency and subjective experience. Thus, the feasibility and effectiveness of the proposed method are validated.