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カワイ ユキコ
KAWAI YUKIKO
河合 由起子 所属 京都産業大学 情報理工学部 情報理工学科 職種 教授 |
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| 言語種別 | 英語 |
| 発行・発表の年月 | 2015/01/06 |
| 形態種別 | その他 |
| 査読 | 査読あり |
| 標題 | iPoster: Interactive poster generation based on topic structure and slide presentation |
| 執筆形態 | その他 |
| 掲載誌名 | Transactions of the Japanese Society for Artificial Intelligence |
| 出版社・発行元 | Japanese Society for Artificial Intelligence |
| 巻・号・頁 | 30(1),pp.112-123 |
| 著者・共著者 | Yuanyuan Wang,Yukiko Kawai,Kazutoshi Sumiya |
| 概要 | MOOC is a crucial platform for improving education
students are able to obtain various educational presentation contents through the Web. Recently, Prezi introduced a zoomable canvas as a substitute to the traditional presentations that allows users to zoom in and out of the presentation media. Teachers then attempt to provide presentations in a nonlinear fashion for enhancing the user interaction through these presentations however, creation of nonlinear presentations would be time-consuming, besides posing design challenges. Therefore, we have developed a novel support system for grasping overviews of presentation slides, it generates a meaningfully structured presentation, called iPoster this enables users to automatically navigate through the slide-based educational contents. The system places elements such as text and graphics of presentation slides in a structural layout by semantically analyzing the slide structure. The structural layout can reveal the hierarchy of elements based on topic structure by moving from the overview to a detail using automatic transitions, such as zooms and pans. Through this, the iPoster can support students to interactively browse online presentation slides for grasping an overview it would substantially help the students navigate the presentation slides effectively for their learning purposes. In this paper, we discuss our interactive poster (iPoster) generation method and we have also included an evaluation of our method’s effectiveness. |
| DOI | 10.1527/tjsai.30.112 |
| ISSN | 1346-8030 |