基于视觉行为与文本特征分析的阅读批注生成方法  

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

作　　者：程时伟[1] 郭炜 CHENG Shi-wei;GUO Wei(School of Computer Science and Technology,Zhejiang University of Technology,Hangzhou 310023,China)

机构地区：[1]浙江工业大学计算机科学与技术学院,浙江杭州310023

出　　处：《浙江大学学报（工学版）》2020年第6期1115-1125,共11页Journal of Zhejiang University：Engineering Science

基　　金：国家自然科学基金资助项目(61772468);浙江省属高校基本科研业务费专项资助(RF-B2019001).

摘　　要：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.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.

关 键 词：眼动跟踪 文本识别 需求判定 自动批注 人机交互 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]