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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 | 2017 |
| 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 | Analysis of location information gathered through residents’ smartphones toward visualization of communication in local community |
| 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 INTERNATIONAL PUBLISHING AG |
| 巻・号・頁 | 10273 LNCS,pp.103-111 |
| 著者・共著者 | Koya Kimura,Yurika Shiozu,Ivan Tanev,Katsunori Shimohara |
| 概要 | © Springer International Publishing AG 2017. This research aims to achieve the resident-centered community design by utilizing information and communication technology (ICT), and to create a trigger to regain rich relationship within a community by visualizing media spots which is defined as places where residents communicate much more than the other areas. In order to improve the media spot estimation method proposed by the previous research, we extracted and analyzed location information under various conditions. As a result, we could confirm that a portion of the highest density of location information corresponds to a resident’s home place, and found that a home place can be accurately derived irrespective of the scattering in accuracy. Also, the analysis on how the distribution of location information varies depending on time zone suggests that it is necessary to use location information which is minutely divided in time or aggregated every day of the week. |
| DOI | 10.1007/978-3-319-58521-5_7 |
| ISSN | 0302-9743/1611-3349 |
| DBLP ID | conf/hci/KimuraSTS17 |
| PermalinkURL | https://dblp.uni-trier.de/conf/hci/2017-3 |
| researchmap用URL | https://dblp.uni-trier.de/db/conf/hci/hci2017-3.html#KimuraSTS17 |