Analysis of User Feedback Cost for Document Similarity Judgment

Minghuang Chen, S. Yamada, Y. Takama
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Abstract

This paper investigates the behavior of users judging the similarity of documents from the viewpoint of user feedback cost, in particular judgment time and accuracy. An experiment is conducted, in which 21 test participants were asked to judge the similarity of documents. As the clue for the judgment, 3 types of information: original text, snippet, and term, are mutually provided. The judgment accuracy and judgment time are analyzed using analysis of variance (ANOVA) and multiple comparison tests to examine the difference of snippet, term and text. The result shows that displaying term is the best in terms of time cost, whereas the judgment accuracy when a snippet is provided is improved with experience. The obtained result will contribute to the design of interfaces that can minimize the user’s feedback cost.
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文档相似度判断的用户反馈成本分析
本文从用户反馈成本的角度,特别是判断时间和准确性的角度,考察了用户判断文档相似度的行为。进行了一项实验,要求21名被试判断文件的相似性。作为判断的线索,原文、摘要、术语三种信息相互提供。采用方差分析(ANOVA)和多重比较检验对片段、术语和文本的判断准确率和判断时间进行分析。结果表明,在时间开销方面,显示词是最好的,而在提供片段时,判断准确率随着经验的增加而提高。所获得的结果将有助于设计能够最大限度地减少用户反馈成本的界面。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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