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シオヅ ユリカ
塩津 ゆりか 所属 京都産業大学 経済学部 経済学科 職種 教授 |
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| 言語種別 | 英語 |
| 発行・発表の年月 | 2016 |
| 形態種別 | 研究論文（国際会議プロシーディングス） |
| 査読 | 査読あり |
| 標題 | A leader and media spot estimation method using location information |
| 執筆形態 | 共著 |
| 掲載誌名 | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
| 掲載区分 | 国外 |
| 出版社・発行元 | SPRINGER INT PUBLISHING AG |
| 巻・号・頁 | 9735,pp.550-559 |
| 著者・共著者 | Koya Kimura,Yurika Shiozu,Ivan Tanev,Katsunori Shimohara |
| 概要 | © Springer International Publishing Switzerland 2016. This research aims to characterize the system of local resident-based regional activations using ICT. It verifies the hypothesis that an individual participates aggressively in the local community planning only when the main activity does not take place in the home and workplace. Verification was conducted by employing a proposed leader estimation method that uses kernel density estimation (KDE) and evaluated questionnaire results. This method was applied to location information gathered between August 1 and 31 in 2015. This research finds that KDE can serve as a visualization method to promote awareness. |
| DOI | 10.1007/978-3-319-40397-7_53 |
| ISSN | 0302-9743/1611-3349 |
| DBLP ID | conf/hci/KimuraSTS16 |
| PermalinkURL | https://dblp.uni-trier.de/conf/hci/2016-5 |
| researchmap用URL | https://dblp.uni-trier.de/db/conf/hci/hci2016-5.html#KimuraSTS16 |