2021/07/19 更新

写真a

オオヌマ リョウ
大沼 亮
ONUMA RYO
所属
学芸学部 情報科学科 助教
職名
助教

学位

  • 博士(理工学) ( 2018年3月   福島大学 )

  • 修士(理工学) ( 2012年3月   福島大学 )

研究キーワード

  • 情報組織化

  • 教育工学

  • 研究活動支援

  • 視覚化

  • 情報検索

研究分野

  • 情報通信 / ヒューマンインタフェース、インタラクション

  • 情報通信 / 学習支援システム

  • 人文・社会 / 教育工学

  • 情報通信 / ウェブ情報学、サービス情報学

学歴

  • 福島大学    

    2013年4月 - 2018年3月

  • 福島大学    

    2010年4月 - 2012年3月

  • 福島大学    

    2006年4月 - 2010年3月

経歴

  • 津田塾大学   学芸学部 情報科学科   助教

    2021年7月 - 現在

  • 福島大学   共生システム理工学類   客員研究員

    2021年7月 - 現在

  • 福島大学 理工学群   共生システム理工学類   特任助教

    2018年4月 - 2021年4月

所属学協会

  • 情報処理学会

  • 電子情報通信学会

  • IEEE

 

論文

  • Initial Evaluation of System for Visualizing Novices’ Unaware Search Intentions by Analyzing Behaviors of Article Selection 査読

    Ryo Onuma, Hiroki Nakayama, Yota Kawawa, Hiroaki Kaminaga, Youzou Miyadera, Shoichi Nakamura

    Proc. IEEE International conference on Teaching, Assessment and Learning for Engineering   392 - 397   2020年12月

  • Methods of Extracting Useful Discussion Cases on Social Media for Promoting Novices’ Experience

    Kota Chiba, Hiroki Nakayama, Ryo Onuma, Hiroaki Kaminaga, Youzou Miyadera, Shoichi Nakamura

    Proc. 2020 IEEE Conference on Big Data and Analytics   7 - 11   2020年11月

  • Methods for Automatically Generating the Repository of Latent Teaching Materials Considering the Mixed Levels of Standards-Compliance 査読

    Shoichi Nakamura, Taiga Kumada, Ryo Onuma, Hiroki Nakayama, Hiroaki Kaminaga, Youzou Miyadera

    Proc. 2020 IEEE Conference on e-Learning, e-Managment and e-Services   71 - 75   2020年11月

  • Methods for Extracting Changes in Human Relationships on Web Based on Commonality Analysis of Graphs 査読

    Hiroki Nakayama, Ryo Onuma, Mizuki Betsui, Hiroaki Kaminaga, Youzou Miyadera, Shoichi Nakamura

    Proc. 2020 IEEE Conference on Big Data and Analytics   1 - 6   2020年11月

  • Visualization of Change of Human Relationships on the Web based on Analysis of Term Appearance in Pages 査読

    Hikaru Fujisawa, Ryo Onuma, Hiroki Nakayama, Hiroaki Kaminaga, Youzou Miyadera, Shoichi Nakamura

    2019 The 2nd International Conference on Computational Intelligence and Intelligent Systems   2019年

  • Organization of Work Situations and the Involved Documents in Complicated Documenting via Intuitive Triggers 査読

    Kenji Tanaka, Hiroki Nakayama, Ryo Onuma, Hiroaki Kaminaga, Youzou Miyadera, Shoichi Nakamura

    2019 IEEE Conference on Big Data and Analytics   2019年

  • A Support Method for Grasping Topic Transition on the Web According to Focused Article on SNS 査読

    Hiroki Nakayama, Masashi Katagaya, Ryo Onuma, Hiroaki Kaminaga, Youzou Miyadera, Shoichi Nakamura

    2019 IEEE Conference on Big Data and Analytics   2019年

  • A System for Visually Organizing the Documents and Histories Involved with Research Works aimed at Sustainably Cultivating the Learning Strategies 査読

    Shoichi Nakamura, Ryo Onuma, Hiroki Nakayama, Tsubasa Shimoyama, Hiroaki Kaminaga, Youzou Miyadera

    2019 11th International Conference on Education Technology and Computers   2019年

  • Combined Analysis of Compilation History and Transition in Similarity Between Source Codes for Detecting Stumbling in Construction of Program Logic 査読

    Junichi Tachibana, Ryo Onuma, Hiroki Nakayama, Hiroaki Kaminaga, Youzou Miyadera, Shoichi Nakamura

    2019 IEEE Conference on e-Learning, e-Management and e-Services   2019年

  • Development of a Training Data Creation Support Environment for Estimating Programming Learning Situations 査読

    18th International Conference on Information Technology Based Higher Education and Training   2019年

  • A Strategy for Cultivating Practical Exploration Skills by Suggesting the Clues based on the Analysis of Novices’ Unaware Intentions 査読

    Ryo Onuma, Yota Kawawa, Hiroki Nakayama, Hiroaki Kaminaga, Youzou Miyadera, Shoichi Nakamura

    18th International Conference on Information Technology Based Higher Education and Training   2019年

  • 2019 The 2nd International Conference on Computational Intelligence and Intelligent Systems 査読

    Yota Kawawa, Ryo Onuma, Hiroki Nakayama, Hiroaki Kaminaga, Youzou Miyadera, Shoichi Nakamura

    2019 The 2nd International Conference on Computational Intelligence and Intelligent Systems   2019年

  • Suggestion of Circumstances in Exploration and Properties of Unknown Pages Aimed at Enhancing the Meaningful Trial and Error 査読

    Ryo Onuma, Takashi Amano, Hiroki Nakayama, Hiroaki Kaminaga, Youzou Miyadera, Shoichi Nakamura

    2018 IEEE Conference on Big Data and Analytics   56 - 61   2018年

  • Laying Groundwork for Writing and Developing Academic Papers from Presentation Slides 査読

    Shoichi Nakamura, Yusuke Morita, Ryo Onuma, Hiroki Nakayama, Hiroaki Kaminaga, Youzou Miyadera

    2018 IEEE Conference on e-Learning, e-Management and e-Services   2018年

  • Machine Learning Model for Analyzing Learning Situations in Programming Learning 査読

    Shota Kawaguch, Yoshiki Sato, Hiroki Nakayama, Ryo Onuma, Shoichi Nakamura, Youzou Miyadera

    2018 IEEE Conference on Big Data and Analytics   2018年

  • Methods for Facilitating the Experiences of Meaningful Trial and Error in Complicated Web Exploration 査読

    Hiroki Nakayama, Takeru Watanabe, Ryo Onuma, Hiroaki Kaminaga, Isao Kikukawa, Youzou Miyadera, Shoichi Nakamura

    2018 IEEE Conference on e-Learning, e-Management and e-Services   67 - 72   2018年

  • Methods for dynamic extraction of important portion from the context network based on the contribution degree on the small world structure 査読

    Ryo Onuma, Hiroki Nakayama, Hiroaki Kaminaga, Youzou Miyadera, Shoichi Nakamura

    2016 IEEE Conference on e-Learning, e-Management and e-Services, IC3e 2016   138 - 143   2017年8月

     詳細を見る

    記述言語:英語   掲載種別:研究論文(国際会議プロシーディングス)   出版者・発行元:Institute of Electrical and Electronics Engineers Inc.  

    Stacking occurs in the composite creation of documents (e.g., such as academic papers, presentation slides, and notes) and when they are refined in research activities. It is important but actually difficult for researchers to satisfactorily accumulate the deliverables for each work and their circumstances so that they can skillfully conduct later work. This problem becomes particularly serious for research beginners. Therefore, there is an urgent need to train research beginners in skills to nail down gaze targets in contexts that continue to increase according to progress as research advances. The final goal of this research was to develop novel methods of training beginners in skills on refining research by extracting the candidates of gaze targets from accumulated contexts and visually presenting them to research beginners. Our project has proposed methods of accumulating the contexts involved with trial and error in the processes of refining research documents and of organizing them into context networks. This paper mainly gives a detailed description of the theoretical methods for dynamically extracting the important sub-network, which is to be carefully examined according to the focus node, from the context network.

    DOI: 10.1109/IC3e.2016.8009055

    Scopus

  • A Framework for Supporting the Recall of the Scenes in Complicated Documenting Processes Using Screenshots 査読

    Masahiro Seino, Ryo Onuma, Hiroki Nakayama, Youzou Miyadera, Shoichi Nakamura

    the 2017 IEEE International Conference on Cybernetics and Computational Intelligence   135 - 140   2017年

  • Methods for extracting the important portions from the contexts in research document creation involving explorations 査読

    Ryo Onuma, Hiroki Nakayama, Hiroaki Kaminaga, Youzou Miyadera, Shoichi Nakamura

    Journal of Computational Methods in Sciences and Engineering   17 ( 1 )   S123 - S134   2017年

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    記述言語:英語   掲載種別:研究論文(国際会議プロシーディングス)   出版者・発行元:IOS Press  

    Research activities are composed of stacks of several tasks such as surveys, creation of novel ideas, writing of research documents, and their elaboration. It is quite important to successfully accumulate the results and circumstances of these tasks (i.e., contexts). It is further important but difficult to understand the contexts and to apply them to later work. In particular, it is much more difficult for research beginners to ensure noteworthy targets within contexts that continuously increase as the work progresses. The final goal of this research is to develop methods for supporting the accumulation of contexts and facilitating their utilization by visually presenting those that are noteworthy to research beginners. This paper mainly describes a method for organizing the contexts and extracting important portions from huge organized contexts. This paper also describes an experiment that was conducted by using actual history data, and discusses the features of the proposed methods on the basis of the results.

    DOI: 10.3233/JCM-160685

    Scopus

  • A System for Visualizing the Relationships between Pages and Involved Factors Across the Gap of Local Area and the Web 査読

    Daisuke Arakawa, Hiroki Nakayama, Ryo Onuma, Takashi Amano, Hiroaki Kaminaga, Youzou Miyadera, Shoichi Nakamura

    2017 International Conference on Computational Science and Computational Intelligence   858 - 863   2017年

  • Analyzation of Relationships among Search Queries for Extracting the Complicated Contexts in Web Exploration 査読

    Shoichi Nakamura, Takuya Matsumoto, Hiroki Nakayama, Ryo Onuma, Hiroaki Kaminaga, Youzou Miyadera

    the 2017 International Conference on Computer Science and Artificial Intelligence   227 - 231   2017年

  • Dynamic Visualization System of Gaze Target on the Polish Context Network 査読

    Ryo Onuma, Hiroki Nakayama, Hiroaki Kaminaga, Youzou Miyadera, Shoichi Nakamura

    the 2017 IEEE International Conference on Cybernetics and Computational Intelligence   129 - 134   2017年

  • Hybrid Analysis of Audience Gaze and Constitutive Features of Slides for Extracting the Defective Portions from Presentation Slides 査読

    Shoichi Nakamura, Ryo Onuma, Hiroki Nakayama, Tomohiro Funayama, Youzou Miyadera

    2016 INT IEEE CONFERENCES ON UBIQUITOUS INTELLIGENCE & COMPUTING, ADVANCED & TRUSTED COMPUTING, SCALABLE COMPUTING AND COMMUNICATIONS, CLOUD AND BIG DATA COMPUTING, INTERNET OF PEOPLE, AND SMART WORLD CONGRESS (UIC/ATC/SCALCOM/CBDCOM/IOP/SMARTWORLD)   467 - 474   2016年

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    記述言語:英語   掲載種別:研究論文(国際会議プロシーディングス)   出版者・発行元:IEEE  

    The need for training students in presentation skills has been raised. Skills in the creation and elaboration of slides are particularly important but it is actually difficult to train students in such skills. It is important for students to properly understand defective portions in slides so that they can polish the slides by themselves. However, it is difficult for novices to detect defective portions and it generally depends on individual work by experienced people such as professors. Such work imposes a huge burden on professors and prevents detailed guidance including the linkage of oral explanations, gestures, and slide descriptions. This research was aimed at developing a mechanism for extracting the defective portions in slides and providing them to students on the basis of hybrid analysis of two promising sources: (1) constitutive features being inherent in the slide data and (2) audiences' visual tracking behaviors of slide content. This paper mainly describes methods of extracting candidates for problems that inhibit understanding from presentation slides by audiences on the basis of constitutive features of slides and audience gaze.

    DOI: 10.1109/UIC-ATC-ScalCom-CBDCom-IoP-SmartWorld.2016.160

    Web of Science

  • Methods for Supporting the Understanding of Differences between Search Intentions and Actual Browsing Situations in Collaborative Exploration 査読

    Hiroki Nakayama, Ryo Onuma, Hayato Takagi, Hiroaki Kaminaga, Youzou Miyadera, Shoichi Nakamura

    2016 ELEVENTH INTERNATIONAL CONFERENCE ON DIGITAL INFORMATION MANAGEMENT (ICDIM 2016)   209 - 214   2016年

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    記述言語:英語   掲載種別:研究論文(国際会議プロシーディングス)   出版者・発行元:IEEE  

    Collaborative exploration is one of the essential factors in advanced intellectual activities such as group work in project-based learning (PBL) and research work. Skillful sharing of the intentions of search and their results is quite important to enable collaborative exploration to be smoothly conducted. However, such sharing is usually difficult for members since they often face difficulties in expressing search intentions into queries and suffer from the troublesome activity of page selection. Such problems become more serious for novices. In particular, it is important but difficult to sufficiently understand the differences between search intentions and actual browsing situations. Moreover, there is often insufficient mutual understanding of differences in search policies between members of collaborative exploration since they tend to superficially confirm the search results. This research was aimed at developing novel support to cultivate the consideration skill of search strategy focusing on the novices' understanding of search contexts. This paper mainly describes the framework of support methods and provides a system overview. This paper also discusses the basic effectiveness and characteristics of our methods based on the results obtained from an experiment.

    DOI: 10.1109/ICDIM.2016.7829772

    Web of Science

  • Dynamically Visualizing the Relationships Between Web Pages Depending on User's Search Viewpoints 査読

    Daisuke Arakawa, Hiroki Nakayama, Ryo Onuma, Hiroaki Kaminaga, Youzou Miyadera, Shoichi Nakamura

    2016 11TH INTERNATIONAL CONFERENCE FOR INTERNET TECHNOLOGY AND SECURED TRANSACTIONS (ICITST)   474 - 475   2016年

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    記述言語:英語   掲載種別:研究論文(国際会議プロシーディングス)   出版者・発行元:IEEE  

    Opportunities of continuous Web exploration with trial and error have been increased in intellectual creative activities such as research work and PBL. However, it is often difficult to pick up useful pages. In such exploration, information that a user particularly needs and his/her viewpoints changes in accordance with progress of the work and trial and error in it. Therefore, it is important but difficult to understand the relationships between obtained pages and to examine the promising information based on the latest perspectives. We aimed to develop the mechanism for dynamic visualization of the relationships between the pages. This paper mainly describes the outline of our dynamic visualization and methods for extracting the relationships between the pages using focused page of a user as a base point.

    Web of Science

  • Gaze Network Extraction from Bookmarks in Accordance with Search Intentions 査読

    Takashi Amano, Ryo Onuma, Hiroki Nakayama, Hiroaki Kaminaga, Youzou Miyadera, Shoichi Nakamura

    2016 11TH INTERNATIONAL CONFERENCE FOR INTERNET TECHNOLOGY AND SECURED TRANSACTIONS (ICITST)   472 - 473   2016年

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    記述言語:英語   掲載種別:研究論文(国際会議プロシーディングス)   出版者・発行元:IEEE  

    Opportunities for Web exploration have been remarkably increased. In particular, complicated Web search with a stack of search and acquisitions of Web pages is significant in long-term intellectual activity. In such exploration, it is important to identify the noteworthy pages and their relationships in increasing bookmark in accordance with change of search intentions. However, it is difficult to grasp them since bookmarks tends to increase according to various search intentions and their changes. In this research, we develop a method for extracting the relationships between Web page by several different related elements from bookmarks. We also develop a method for extracting the gaze network based on centrality analysis. This paper mainly describes the framework of our proposed methods.

    Web of Science

  • A Method for Extracting the Search Contexts in Collaborative Exploration 査読

    Hiroki Nakayama, Ryo Onuma, Hiroaki Kaminaga, Youzou Miyadera, Shoichi Nakamura

    2015 IEEE INTERNATIONAL CONFERENCE ON DATA SCIENCE AND DATA INTENSIVE SYSTEMS   115 - 116   2015年

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    記述言語:英語   掲載種別:研究論文(国際会議プロシーディングス)   出版者・発行元:IEEE  

    This paper describes a method for extracting the search contexts on the basis of the analysis of search history data such as viewed Web pages, search queries, and bookmarks during collaborative exploration activities. There are many opportunities for collaborative exploration in the form of cooperative work at educational organizations such as universities. It is quite significant for collaborative explorers to mutually grasp search contexts in order to successfully progress the exploration. However, it becomes increasingly difficult and complicated for explorers to comprehend contexts as search histories when search periods lengthen. The goal of this research is to achieve novel support for extracting the search contexts and their visualizations so that novices in collaborative exploration can understand their exploration activities.

    DOI: 10.1109/DSDIS.2015.112

    Web of Science

  • Hybrid Analysis of Audience Gaze and Slide Construction to Obtain the Clues for Improving Presentations 査読

    Tomohiro Funayama, Hiroki Nakayama, Ryo Onuma, Hiroaki Kaminaga, Youzou Miyadera, Shoichi Nakamura

    PROCEEDINGS OF THE 2015 INTERNATIONAL CONFERENCE ON SOFT COMPUTING AND SOFTWARE ENGINEERING (SCSE'15)   62   628 - 630   2015年

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    記述言語:英語   掲載種別:研究論文(国際会議プロシーディングス)   出版者・発行元:ELSEVIER SCIENCE BV  

    The aim of this research is to develop a novel mechanism for finding clues to improve presentations and providing them to its author. Promising approach is extracting the defect portions of slides by analyzing the multiple familiar sources that have been overlooked. This paper describes an overview of the hybrid analysis of audience gaze and characteristics of slide construction. (C) 2015 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/lienses/by-nc-nd/4.0). Peer-review under responsibility of organizing committee of the 7th Scientific-Technical Conference Material Problems in Civil Engineering

    DOI: 10.1016/j.proeng.2015.08.584

    Web of Science

  • Methods for Extracting the Polish Contexts in Research Document Creation 査読

    Ryo Onuma, Hiroki Nakayama, Shuhei Abe, Hiroaki Kaminaga, Youzou Miyadera, Shoichi Nakamura

    PROCEEDINGS OF 2015 IEEE INTERNATIONAL CONFERENCE ON PROGRESS IN INFORMATCS AND COMPUTING (IEEE PIC)   481 - 486   2015年

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    記述言語:英語   掲載種別:研究論文(国際会議プロシーディングス)   出版者・発行元:IEEE  

    Intellectual document creation and its polish represent an important phase in research activities. This kind of documenting consists of multiple tasks. Such combined documenting involves the contexts in their processes of polish. Polish contexts are often valuable hints that can be utilized for later work. However, it is difficult for most users, especially research beginners, to manage the polish contexts and satisfactorily utilize them. This research was aimed at developing methods for extracting the contexts and organizing them so that users could easily reflect on the contexts. A method for extracting important portions of the generated context information network is also proposed. The effectiveness and features of the proposed methods are discussed based on the results obtained from experiments.

    DOI: 10.1109/PIC.2015.7489894

    Web of Science

  • Strategic Accumulation and Organization of the Polish Contexts in Research Document Creation 査読

    Ryo Onuma, Hiroki Nakayama, Shuhei Abe, Hiroaki Kaminaga, Youzou Miyadera, Shoichi Nakamura

    PROCEEDINGS OF THE 2015 INTERNATIONAL CONFERENCE ON SOFT COMPUTING AND SOFTWARE ENGINEERING (SCSE'15)   62   575 - 577   2015年

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    記述言語:英語   掲載種別:研究論文(国際会議プロシーディングス)   出版者・発行元:ELSEVIER SCIENCE BV  

    Documentation in research activities consist of multiple works. Such combined documenting involves the contexts in its processes of polish. Polish contexts are often valuable hints that can be utilized for later works. However, it is difficult for most users, especially beginners, to manage the polish contexts and utilize them satisfactorily. This research aims to develop methods for organizing the contexts along with their strategic accumulation. A method to extract the important portion of the accumulated context information network is also proposed. (C) 2015 Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

    DOI: 10.1016/j.procs.2015.08.534

    Web of Science

  • Development of a Web Exploration Support System Focusing on Accumulation of Search Contexts 査読

    Tatsuya Yamazaki, Ryo Onuma, Hiroaki Kaminaga, Youzou Miyadera, Shoichi Nakamura

    International Conference on Web Information Systems Engineering (ICWISE2014)   865 - 870   2014年

  • Development of a Visualization System of Discussion Processes in a Mass of E-mails 査読

    Hiroki Nakayama, Ryo Onuma, Hiroaki Kaminaga, Setsuo Yokoyama, Youzou Miyadera, Shoichi Nakamura

    2014 INTERNATIONAL CONFERENCE ON INFORMATION SOCIETY (I-SOCIETY 2014)   163 - 168   2014年

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    記述言語:英語   掲載種別:研究論文(国際会議プロシーディングス)   出版者・発行元:IEEE  

    E-mail discussions are often conducted during intellectually challenging activities such as research, cooperative learning, and software development. It is important but generally difficult to successfully grasp the processes of the discussions and their conclusions since a mass of e-mails is accumulated in e-mail applications. Furthermore, actual e-mail discussions contain descriptions of diverse sizes. These features hinder grasping the discussion processes. Although some research projects have aimed at extracting discussion processes, these existing methods have not considered the diversity of description granularity. Therefore, our research is intended to develop methods for extracting the discussion processes and a system for visualizing the discussion processes. This paper mainly describes a system for visualizing discussion processes in a mass of e-mails. Initially, this paper describes the system design based on a study of the features of actual e-mail discussions. This paper also describes the development of a prototype.

    DOI: 10.1109/i-Society.2014.7009033

    Web of Science

  • Extraction Methods of E-mail Discussion Processes Considering Diversity of Description Granularity and their Complicated Relationships 査読

    Hiroki Nakayama, Ryo Onuma, Hiroaki Kaminaga, Youzou Miyadera, Setsuo Yokoyama, Shoichi Nakamura

    2013 8TH INTERNATIONAL CONFERENCE FOR INTERNET TECHNOLOGY AND SECURED TRANSACTIONS (ICITST)   563 - +   2013年

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    記述言語:英語   掲載種別:研究論文(国際会議プロシーディングス)   出版者・発行元:IEEE  

    Discussion using e-mail is frequently conducted in intelligent works such as research activity. It is important but generally difficult to successfully grasp the processes of the discussions and their results. There exist descriptions of diverse particle sizes in actual discussion using e-mail. This feature brings about the difficulty in grasping the discussion processes in addition to basic features such as increase of number of e-mails. Although there have been some research projects which aim at extraction of discussion processes, these existing methods have not consider the diversity of description granularity. This research has aimed to develop a support system for extracting discussion processes and their visualization. This paper mainly describes methods for extracting the discussion processes considering the diversity of description granularity and complicated connections between them. This paper also describes the overview of target service and the outline of support system.

    DOI: 10.1109/ICITST.2013.6750265

    Web of Science

  • Methods for Strategic Accumulation of Context Information in Research Activities 査読

    Ryo Onuma, Hiroki Nakayama, Hiroaki Kaminaga, Yasuhiko Morimoto, Youzou Miyadera, Shoichi Nakamura

    2013 8TH INTERNATIONAL CONFERENCE FOR INTERNET TECHNOLOGY AND SECURED TRANSACTIONS (ICITST)   678 - +   2013年

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    記述言語:英語   掲載種別:研究論文(国際会議プロシーディングス)   出版者・発行元:IEEE  

    Research activities normally consist of numerous works such as paper composition, discussions and surveys of literature. It is important for smooth accomplishment of research to strategically accumulate the context information (i.e. processes of the work, methods and results) and to skillfully utilize them. However, it is difficult to accumulate relevant context information since most automatic methods target only the specific work and/or researchers tend to selectively use different applications suitable for each purpose. This research aims to develop methods of organizing context information across the different styles of information and applications. This paper outlines methods to strategically accumulate context information and to organize it. Moreover, it describes an experiment using test-case data and discusses the effectiveness of the methods in light of the results.

    DOI: 10.1109/ICITST.2013.6750289

    Web of Science

  • A Support System for Visually Extracting Discussion Processes Hidden in a Mass of E-mails 査読

    Hiroki Nakayama, Ryo Onuma, Youzou Miyadera, Setsuo Yokoyama, Shoichi Nakamura

    he 6th International Conference on Computer Sciences and Convergence Information Technology (ICCIT 2011)   70 - 76   2011年

▼全件表示

MISC

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    川和耀太, 大沼 亮, 中山祐貴, 神長裕明, 宮寺庸造, 中村勝一

    電子情報通信学会 技術研究報告(教育工学)   119 ( 105 )   35 - 40   2019年

  • コンパイルエラーに表出しないプログラムロジック構成躓き推定のためのソースコード間の距離推移分析

    立花隼一, 中山祐貴, 大沼 亮, 神長裕明, 宮寺庸造, 中村勝一

    電子情報通信学会 技術研究報告(教育工学)   119 ( 276 )   5 - 10   2019年

  • 推敲文脈ネットワークにおける着目点に応じた注視対象の動的抽出アルゴリズム

    大沼 亮, 中山祐貴, 神長裕明, 宮寺庸造, 中村勝一

    電子情報通信学会 技術研究報告(教育工学)   118 ( 214 )   37 - 42   2018年

  • 拡張・絞込み方針の意識促進を考慮したローカル領域とWeb空間を跨いだページ間関係視覚化システム

    荒川大祐, 中山裕貴, 大沼亮, 神長裕明, 宮寺庸造, 中村勝一

    電子情報通信学会 技術研究報告(教育工学)   117 ( 469 )   171 - 176   2018年

  • 探索方針の考察促進のための閲覧履歴のネットワーク分析に基づいた未知ページの性質示唆

    天野崇, 大沼亮, 中山祐貴, 神長裕明, 宮寺庸造, 中村勝一

    電子情報通信学会 技術研究報告(教育工学)   117 ( 469 )   177 - 182   2018年

  • Web探索未熟者の模索経験促進のための手がかり示唆

    渡辺剛硫, 中山祐貴, 大沼亮, 神長裕明, 喜久川功, 宮寺庸造, 中村勝一

    電子情報通信学会 技術研究報告(教育工学)   118 ( 131 )   13 - 18   2018年

  • 複数注視要素を考慮したWeb上の人間関係ネットワークの動的抽出手法の提案

    藤澤ひかる, 大沼 亮, 中山祐貴, 神長裕明, 宮寺庸造, 中村勝一

    電子情報通信学会 技術研究報告(教育工学)   118 ( 214 )   37 - 42   2018年

  • 動的貢献度算出に基づいた推敲文脈ネットワーク上の注視対象視覚化システム

    大沼亮, 荒川大祐, 中山祐貴, 神長裕明, 宮寺庸造, 中村勝一

    電子情報通信学会 技術研究報告(教育工学)   117 ( 256 )   9 - 14   2017年

  • シーンスナップを用いたドキュメンティング過程における作業経緯の想起支援

    清野正寛, 大沼亮, 中山祐貴, 宮寺庸造, 中村勝一

    電子情報通信学会 技術研究報告(教育工学)   117 ( 209 )   1 - 6   2017年

  • 協調探索における探索意図と閲覧実態の差異抽出による探索コンテクスト把握支援

    中山祐貴, 木勇人, 大沼亮, 神長裕明, 宮寺庸造, 中村勝一

    電子情報通信学会 技術研究報告(教育工学)   115 ( 492 )   237 - 242   2016年

  • 聴衆視線とスライド構成的特徴のハイブリッド分析に基づくプレゼンテーションスライド中の問題箇所把握支援システム

    船山智広, 伊藤和豊, 中山祐貴, 大沼亮, 神長裕明, 宮寺庸造, 中村勝一

    電子情報通信学会 技術研究報告(教育工学)   115 ( 492 )   267 - 272   2016年

  • 注視対象抽出のためのSmall Worldにおける着目ノードに応じた貢献度算出手法

    大沼亮, 中山祐貴, 神長裕明, 宮寺庸造, 中村勝一

    電子情報通信学会 技術研究報告(教育工学)   116 ( 126 )   33 - 38   2016年

  • 研究ドキュメント推敲過程における文脈情報ネットワーク中の重要箇所抽出システム

    大沼亮, 中山祐貴, 阿部周平, 神長裕明, 宮寺庸造, 中村勝一

    電子情報通信学会 技術研究報告(教育工学)   115 ( 492 )   243 - 248   2016年

  • スライドの構成的特徴と聴衆視線のハイブリッド分析に基づくプレゼンテーションスライド中の問題箇所抽出

    船山智広, 中山祐貴, 大沼亮, 神長裕明, 森本康彦, 宮寺庸造, 中村勝一

    電子情報通信学会 技術研究報告(教育工学)   115 ( 127 )   49 - 54   2015年

  • 探索意図の洗練過程を重視した情報探索支援手法

    山崎辰也, 大沼亮, 神長裕明, 宮寺庸造, 中村勝一

    教育システム情報学会研究報告   27 ( 6 )   125 - 131   2013年

  • 電子メール議論における応答粒度の多様性を考慮した議論過程抽出手法の設計

    中山祐貴, 大沼亮, 神長裕明, 宮寺庸造, 横山節雄, 中村勝一

    電子情報通信学会 技術研究報告(教育工学)   113 ( 316 )   53 - 58   2013年

  • 研究活動文脈の作業横断的抽出・組織化手法とその蓄積活用支援

    大沼亮, 中山祐貴, 神長裕明, 森本康彦, 宮寺庸造, 中村勝一

    電子情報通信学会技術研究報告   Vol.111 ( No.473 )   221 - 224   2012年3月

  • 研究活動文脈の作業横断的抽出・組織化手法とその蓄積活用支援

    大沼亮, 中山祐貴, 神長裕明, 森本康彦, 宮寺庸造, 中村勝一

    電子情報通信学会 技術研究報告(教育工学)   111 ( 473 )   215 - 219   2012年

  • 研究活動における作業間の溝を繋ぐ情報提示・蓄積手法の提案

    大沼亮, 中山祐貴, 神長裕明, 森本康彦, 宮寺庸造, 中村勝一

    電子情報通信学会 技術研究報告(教育工学)   111 ( 141 )   35 - 40   2011年

▼全件表示

受賞

  • Best Paper Award,

    2018年   2018 IEEE Conference on Big Data and Analytics

  • Best Paper Award,

    2017年   The 2017 IEEE International Conference on Cybernetics and Computational Intelligence

  • Best Paper Award,

    2016年   2016 IEEE International Conference on e-Learning, e-Management and e-Services

共同研究・競争的資金等の研究

  • 訂正記事と他者の意見動向に注目したフェイク記事の見極め経験促進手法

    研究課題/領域番号:21K13637 

    若手研究

    大沼 亮

      詳細を見る

    配分額:4680000円 ( 直接経費:3600000円 、 間接経費:1080000円 )

  • 探索遂行能力育成のための既有ページ注目行為に着目した段階的手がかり示唆手法

    研究課題/領域番号:19K14309 

    若手研究

    大沼 亮

      詳細を見る

    配分額:4160000円 ( 直接経費:3200000円 、 間接経費:960000円 )

    PBL等における模索的なWeb探索では,獲得したページを的確に解釈し,それを踏まえて自らの探索意図を新たな検索クエリとして表現することが重要だが,その能力育成方法は確立されていない.本研究では,「既有ページに対する注目行為に,未熟者の認識や探索意図が,半ば無意識的に体現される現象」に注目し,段階的な手がかり示唆による能力育成支援の実現を目指す.そのために,探索意図の整理に際して注目に値するページ抽出手法,注目ページに応じた検索クエリ候補生成手法,経験状況に応じた手がかり示唆戦略を開発する.これらの手法に基づいて支援システムを開発し,実際的経験を促しつつ探索能力育成を図る新たな方法を示す.
    PBL等の試行錯誤性の高いWeb探索を行う機会が増加し,重要性が高まっている.この種の探索を上手く行うためには,探索結果と経緯を理解した上で,次の探索に繋げる必要がある.能力習得のためには,模索経験の積み重ねが重要だが,探索意図の逐次変化やクエリ表現の難しさ等のため,十分に行えない実状がある.本研究では,「既有ページに対する注目行為に,未熟者の認識や探索意図が,半ば無意識的に体現される現象」に注目し,段階的な手がかり示唆による能力育成方法を開発する.そのために,探索履歴・動向の分析に基づいて,注目すべきページ候補の抽出手法,注目ページに応じた検索方針毎の検索クエリ候補生成手法,経験状況に応じた手がかり示唆戦略を開発する.これらの手法に基づいて支援システムを開発することで,実際的経験を促しつつ探索能力育成を図る新たな方法を示す.
    <BR>
    2019年度は,主に,手がかり情報生成手法の開発に取り組んだ.まず,模索的な探索における「探索者のページ閲覧」「クエリ捻出・検索行為」「探索成果の整理・再閲覧」などの実際様態を観察・分析した.次に,実際様態の分析結果を踏まえ,注目に値する手がかりページを抽出し,その特徴を分析した.分析結果と探索履歴データ中の特徴要素を照らし合わせ,手がかりページ抽出手法,および,探索者が注目するページに応じたクエリ候補生成手法の開発に取り組み,それぞれモジュールとして実装した.また,手がかり示唆の段階的削減による能力育成戦略について検討した.
    2019年度に予定していた「手がかり情報生成手法の開発」を実施することができ,概ね予定通りのスケジュールで進んでいると考えられる.
    2020年度は,主に,探索能力育成システムの開発・検証に取り組む.まず,前年度に開発したモジュールをサブシステムとする形で,探索履歴の収集から,その分析に基づいた注目すべきページ候補の抽出,注目ページに応じた検索クエリ候補の生成,これら手がかり情報の提示までを担う支援システムのプロトタイプを開発する.その上で,開発した探索能力育成システムを,大学研究室における実際の模索的Web探索に適用・実践試用し,提案手法の有効性を評価・検証する.