Exploratory Analysis of Usage Statistics of Dialogue Systems by Visualization
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- Seki Yosuke
- Research Center for Higher Education, Tokushima University, Japan
説明
<p>It is important to analyze the usage statistics of dialogue systems in order to identify improvements that can increase user satisfaction. However, further beneficial information may be hidden among the information (such as logs and registered usage statistics in the database) that is not output as a result of the general analysis methods and can be discovered through exploratory analysis. To this end, this study proposes a method for the exploratory analysis of the usage statistics of dialogue systems using visualization to detect beneficial information, either intentionally or unintentionally. Specifically, usage statistics are visualized as network graphs showing the queries and transitions among them, and functions to extract particular visualized objects and identify characteristic queries are implemented to support the analysis. The results of this evaluation show that the proposed method can detect beneficial information through an exploratory analysis of visualized usage statistics, thereby demonstrating its effectiveness in the analysis of dialogue systems.</p>
収録刊行物
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- Information and Technology in Education and Learning
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Information and Technology in Education and Learning 2 (1), Dev-p001-Dev-p001, 2022
一般社団法人日本教育工学会・一般社団法人教育システム情報学会
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詳細情報 詳細情報について
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- CRID
- 1390293257457302912
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- ISSN
- 24361712
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- 本文言語コード
- en
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- 資料種別
- journal article
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- データソース種別
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- JaLC
- IRDB
- Crossref
- KAKEN
- OpenAIRE
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- 抄録ライセンスフラグ
- 使用可
