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  • 标题:視線計測情報に基づいた要件定義書レビュー品質の予測
  • 本地全文:下载
  • 作者:斉藤 功樹 ; 日髙 昇平
  • 期刊名称:認知科学
  • 印刷版ISSN:1341-7924
  • 电子版ISSN:1881-5995
  • 出版年度:2020
  • 卷号:27
  • 期号:3
  • 页码:280-294
  • DOI:10.11225/cs.2020.029
  • 出版社:Japanese Cognitive Science Society
  • 摘要:In software development, deliverables in an upstream process are reviewed to ensure their quality and to reduce error propagation to the downstream process. Methods are available for evaluating the review quality. In this study, we considered the defect detection process in a review of Requirement Definition Documents and tested a potential relationship between the gaze patterns and review quality. Specifically, we analyzed the relationship between the gaze patterns, with a primary focus on the blink rate, in a review of RDDs and detection accuracy. A significant nonlinear correlation between the blink rate and the detection accuracy was observed; moreover, the subsequent regression analysis also verified the blink rate as the best predictor of the review quality, notwithstanding the use of other gaze patterns. This result indicates that the blink rate is a major predictor of a type of review performance.
  • 关键词:視線情報;瞬目率;文書レビュー;レビュー品質;信号検出理論;機械学習;gaze;blink rate;document review;review quality;signal detection theory;machine learning
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