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Web情報に関連するストレスエビデンス論文の視覚的提示方法の有効性

Web情報に関連するストレスエビデンス論文の視覚的提示方法の有効性

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カテゴリ: 論文誌(論文単位)

グループ名: 【C】電子・情報・システム部門

発行日: 2017/02/01

タイトル(英語): Visual Presentation Method of Stress Evidence Paper in Conjunction with Web Article

著者名: 山口 昌樹(信州大学 繊維学部),大向 一輝(国立情報学研究所)

著者名(英語): Masaki Yamaguchi (Faculty of Textile Science & Technology, Shinshu University), Ikki Ohmukai (National Institute of Informatics)

キーワード: ヒューマンインタフェース,ストレス,テキストマイニング,検索エンジン,web情報,エビデンス  human interface,stress,text mining,search engine,web article,evidence

要約(英語): Modern society has seen a tremendous growth in the amount of digital data, however a database for human stress currently is not prevalent. Additionally, diagnostic criteria based on evidence, quantitative scales have not been fully established for stress. The purpose of this research is to provide visually presentation method of stress evidence paper in conjunction with web article in order to help people understand and overcome their stress. We propose a stress evidence search engine named “Kokoronoma” incorporated with i) a rate of evidence which express the relationship between the web article and the scientific paper, ii) human machine interface to show the rate of evidence visually. The fabricated stress evidence search engine was evaluated by the 10 young male users to compare with a multipurpose search engine as Google and Google Scholar. Three kinds of search problem as serotonin, mood disorder, and depression were used for the evaluation. As the results, Stress evidence paper and the rate of evidence were showed in conjunction with web article, automatically. The scores of subjective evaluation of the stress evidence search engine for visible observation images, intuitive awareness, and un-complicatedness showed higher than that of the multipurpose search engine. It was considered that the fabricated stress evidence search engine has an effective in reducing the stress of user.

本誌: 電気学会論文誌C(電子・情報・システム部門誌) Vol.137 No.2 (2017) 大特集:電子・情報・システム部門誌 30周年記念「電子・情報・システム技術によるイノベーション」

本誌掲載ページ: 310-316 p

原稿種別: 論文/日本語

電子版へのリンク: https://www.jstage.jst.go.jp/article/ieejeiss/137/2/137_310/_article/-char/ja/

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