Updated on 2022/06/30

写真a

 
IEIRI, Yuya
 
Affiliation
Faculty of Science and Engineering, Graduate School of Information, Production, and Systems
Job title
Assistant Professor(non-tenure-track)

Education

  • 2019.04
    -
    2021.03

    Waseda University   Graduate School of Creative Science and Engineering  

  • 2017.04
    -
    2019.03

    Waseda University   Graduate School of Creative Science and Engineering  

  • 2013.04
    -
    2017.03

    Waseda University   School of Creative Science and Engineering  

Degree

  • 2021.03   Waseda University   Ph.D. (Engineering)

Research Experience

  • 2022.04
    -
    Now

    Waseda University   Graduate School of Information Production and Systems   assistant professor

  • 2021.04
    -
    2022.03

    University of Surrey,   School of Hospitality & Tourism Management,   Visiting Research Fellow

  • 2021.04
    -
    2022.03

    Japan Society for the Promotion of Science

  • 2019.04
    -
    2021.03

    Japan Society for the Promotion of Science

Professional Memberships

  • 2021.04
    -
    Now

    Institute of Electrical and Electronics Engineers

  • 2021.04
    -
    Now

    電子情報通信学会

  • 2021.04
    -
    Now

    情報処理学会

 

Research Areas

  • Library and information science, humanistic and social informatics

  • Social systems engineering

  • Intelligent informatics

Research Interests

  • 社会システム工学

  • 社会情報学

  • 人工知能

  • ヒューマンコンピュータインタラクション

  • 観光情報学

  • Internet of Things

▼display all

Papers

  • Individual Excitement Level曲線:観光行動における感情収集による感興度変化の可視化

    家入 祐也, 蔡 弘亞, 菱山 玲子, 藤ノ木 耀平

    ヒューマンインタフェース学会論文誌   23 ( 1 ) 121 - 134  2021.02  [Refereed]

    Authorship:Lead author

  • Toyama de Walking: Practice of Location-Based Data Collection Using Augmented Reality Applications

    Yuya Ieiri, Hung-Ya Tsai, Reiko Hishiyama

    Advances in Intelligent Systems and Computing   1270   805 - 813  2021  [Refereed]

    Authorship:Lead author

     View Summary

    Location-based data is used in a wide variety of applications and can be collected using various methods. Besides these methods, it is expected that a method to collect location-based data by walking applications using augmented reality (AR) will be common in the future. AR has the nature that encourages users to collaborate with the real world, and it is supposed to help collect location-based data about the atmosphere and quality of the city. However, the features of the location-based data collected by walking applications using AR have not yet been revealed. Clarifying the features is important to grasp the position of the collection method using AR. Therefore, we developed an AR walking application “Toyama de Walking” for collecting location-based data and conducted a demonstration experiment using the application. As a result, the features of the location-based data collected by walking applications using AR were revealed.

    DOI

  • Value Creation Framework Based on Designable Evaluation Network

    Yuya Ieiri, Shao Tengfei, Reiko Hishiyama

    Proceedings of the 2020 5th International Conference on Cloud Computing and Internet of Things     20 - 25  2020.09  [Refereed]

    Authorship:Lead author

     View Summary

    Social innovation is an attempt to solve various social problems. It requires the creation of new value in a local community. However, a concrete method for creating new value in a local community is yet to be established. Therefore, in our study, we aim to construct a framework for creating new value in the local community by designing a social support system of the local community. To construct such a framework, we propose a designable evaluation network (DEN), which is a social network that expresses the evaluation relationship between people/artifacts and people/artifacts in a local community as a network structure. Moreover, the evaluation relationship in a DEN is formed through a designable evaluation model, which is a mathematical model with designability. It is possible to construct a framework by designing a social support system on a computer using a DEN and conducting operations to create new value for a local community.

    DOI

  • A Novel Excavation of Fortuitous Tourism Resources Candidates by Analyzing Emotional Information

    Yuya Ieiri, Reiko Hishiyama

    Proceedings of the 2020 2nd International Conference on Image, Video and Signal Processing     138 - 143  2020.03  [Refereed]

    Authorship:Lead author

     View Summary

    Tourism is one of the most important industries in the world. An excavation of tourism resources is an effective approach to promote the tourism industry, and many excavation methods that have been devem Fortuitous Tourism Resources Candidates. Therefore, it is necessary to excavate Fortuitous Tourism Resources loped for Potential Tourism Resources that are resources with low name recognition and high attractiveness. However, an excavation method of Fortuitous Tourism Resources that are resources with high attractiveness by chance, due to influences of environmental factors, has not yet been developed. Fortuitous Tourism Resources are extracted froCandidates in order to find new Fortuitous Tourism Resources. In this paper, an excavation method of Fortuitous Tourism Resources Candidates, by analyzing data focusing on differences in familiarity of tourists, is proposed. Furthermore, we conducted a demonstration experiment in Kyoto, Japan, to practice the proposed method. As a result, three Fortuitous Tourism Resources Candidates are excavated using the proposed method, and the effectiveness of the proposed method is shown by the experiment.

    DOI

  • 消費者行動モデルに基づく商業地域コミュニティにおけるポイント付与効果の分析

    家入 祐也, 中島 悠, 菱山 玲子

    情報処理学会論文誌   61 ( 1 ) 123 - 133  2020.01  [Refereed]

    Authorship:Lead author

  • Evaluation of a Campus Navigation Application Using an AR Character Guide

    Yamato Kuwahara, Hung-ya Tsai, Yuya Ieiri, Reiko Hishiyama

    Collaboration Technologies and Social Computing   11677 LNCS   242 - 250  2019.08  [Refereed]

     View Summary

    In recent years, many studies have been conducted to realize easy route navigation for pedestrians using augmented reality (AR). Many of these studies use methods where the direction or sign is indicated using AR. However, only a few have focused on using AR for route navigation to follow. Our research aims to realize easy route navigation using an AR character agent. We develop a navigation application wherein the user follows an AR character agent. We evaluate it from the behavior of the user. For that purpose, we conduct an experiment at a university festival using the navigation application. We then analyze the experimental data and questionnaire responses. The results show that route navigation by the AR character agent makes route identification easy. However, problems involving many participants feeling uneasy or being lost are encountered. Problems in accuracy caused by errors in the positional information are also observed. In future, a method to indicate directions more accurately must be considered.

    DOI

  • Vision-Based Indoor Positioning (VBIP) - An Indoor AR Navigation System with a Virtual Tour Guide

    Hung-Ya Tsai, Yamato Kuwahara, Yuya leiri, Reiko Hishiyama

    Collaboration Technologies and Social Computing   11677 LNCS   96 - 109  2019.08  [Refereed]

     View Summary

    In this paper, we describe the structure of a Vision-Based Indoor Positioning (VBIP) system which is a pure software solution without any hardware deployment. We conducted an experiment by providing our VBIP system to navigate visitors through three different buildings with a total length over 350 m during Science and Technology Festival 2018 at Waseda University. This large scale experiment pointed out our incomprehensive thinking while designing the algorithm only based on human behavior, and motivated us to remodify our algorithm based on natural features in the environment. We further conducted another experiment and found out that our VBIP system is improved. VBIP system can now reduce the drift error of VIO (Visual Inertial Odometry) to around 1.4% for over 350 m tracking. For the experiment result, we believe that VBIP is one step closer to perfection.

    DOI

  • A proposal of interaction analysis framework for multilingual discussion

    Yuqi Liao, Yuya Ieiri, Reiko Hishiyama

    Proceedings of the 10th International Conference on E-Education, E-Business, E-Management and E-Learning - IC4E '19     421 - 426  2019.01  [Refereed]

     View Summary

    Global problems, such as environmental issues, refugee crises, and food shortages, transcend borders and must be addressed at the international level. The goal of our research is to examine ways in which we can clarify common features, similarities, and differences in people's thinking to confront problems among people who speak different languages. In our study, we first designed an interactive analysis framework for analyzing the similarities and differences in thinking among different people. To evaluate the effectiveness of our proposed framework, we conducted experimental discussions combined with making a mind map about environmental issues among Chinese and Japanese-speaking participants. After the discussion activity, we analyzed the logs and mind maps by focusing on keywords and the flow of information. Our results showed that the participants had various ways of thinking about environmental problems and their solutions. We succeeded in summarizing the similarities and differences as discussion points and share them using our framework in a visible form.

    DOI

  • Walk rally application development environment suitable for individual situations

    Yuya leiri, Yuu Nakajima, Reiko Hishiyama

    Proceedings of the 10th International Conference on E-Education, E-Business, E-Management and E-Learning - IC4E '19     438 - 442  2019.01  [Refereed]

    Authorship:Lead author

     View Summary

    The Walk Rally application is a mobile application that encourages users to walk around an area using mobile terminals. Several Walk Rally applications have been developed for use in various situations. However, depending on the area and the purpose of use, the information presented in the application and the functions required for it are different. Therefore, it is necessary to individually develop Walk Rally applications suitable for specific situations, and this of course becomes expensive. In this study, we developed a Walk Rally application development environment named Machinavi, where various functions are independently developed as business logic to enable use in various situations. Customizing the business logic to the purpose of use makes it possible to develop Walk Rally applications suitable for various situations. We used Machinavi to develop three Walk Rally applications for three specific situations: an event, a sightseeing spot, and a commercial area. The results of experiments and a questionnaire survey demonstrate the effectiveness of the Walk Rally applications developed using this development environment.

    DOI

  • Walk Rally Application for Revitalizing Shopping Areas

    Yuya Ieiri, Reiko Hishiyama, Yuu Nakajima

    Proceedings of the Ninth International Symposium on Information and Communication Technology - SoICT 2018     344 - 350  2018.12  [Refereed]

    Authorship:Lead author

     View Summary

    We investigated whether shoutengai, old shopping districts in Japan, can be revitalized by solving the disparity problem in the number of customers among shoutengai according to their location and by solving the problem of inequality in popularity among the stores in a shoutengai. We developed the “store appeal value”, which is unique index of showing the attractiveness of a store and developed a walk rally application based on incentives based on the store appeal value. We investigated whether shoutengai can be revitalized by using our walk rally application. To verify the effectiveness of the proposed application , we conducted a demonstration experiment involving three shoutengai in Shinjuku Ward, Tokyo. By analyzing the behavior logs obtained from the experiment, we clarified that our store appeal value is appropriate. We were also able to show that it is possible to revitalize shoutengai by using our walk rally application, that is, to distribute customers among shoutengai and among stores in a shoutengai.

    DOI

  • 情報統合過程にもとづく潜在的観光資源発掘手法の構築

    家入 祐也, 中島 悠, 菱山 玲子

    電子情報通信学会論文誌D   101 ( 9 ) 1325 - 1333  2018.09  [Refereed]

    Authorship:Lead author

  • Attempt to mitigate congestion by providing latent information with walk-rally application

    Yuya Ieiri, Yuu Nakajima, Reiko Hishiyama

    Proceedings of the 9th International Conference on E-Education, E-Business, E-Management and E-Learning - IC4E '18     80 - 84  2018.01  [Refereed]

    Authorship:Lead author

     View Summary

    At events and sightseeing spots, congestion can be a factor that lowers customer satisfaction, so there is need for methods that mitigate congestion. Currently, there are methods for mitigating congestion such as changing the layout of an event and restricting customer behavior. However, there are problems in that it is difficult to reduce congestion at events in which the layout cannot be changed, and there is a risk the satisfaction level will be reduced due to restricting customer behavior. Therefore, we propose a method aimed at reducing congestion by allowing users to voluntarily select a detour to avoid congestion by providing users with not only obvious information but latent information with a walk-rally application. In demonstration experiments at real events and sightseeing spots, we confirmed that the proposed method is effective at reducing congestion and clarified how to use latent information effectively for mitigating congestion.

    DOI

  • Effect of First Impressions in Tourism by Using Walk Rally Application

    Yuya Ieiri, Takuya Mizukami, Yuu Nakajima, Ryota Ayaki, Reiko Hishiyama

    2017 International Conference on Culture and Computing (Culture and Computing)   2017-December   1 - 6  2017.09  [Refereed]

    Authorship:Lead author

     View Summary

    In tourism, it is necessary to promote sightseeing areas and tourist amenities as well as to encourage repeat visits by improving the tourists' levels of satisfaction. In this paper, we focus on impressions of sightseeing spots as an important factor in improving tourist satisfaction. Many studies have analyzed the relationship between tourists' impressions of a sightseeing area and their overall evaluation of that area, but few studies have focused on the tourists' first impressions. We analyzed the tourists' first impressions of each sightseeing spot in the area and investigated the relationship between these first impressions and the tourists' overall evaluations of each spot. Our results showed that first impressions contributed to the tourists' satisfaction and increased the tourists' motivation to revisit. We also discovered that first impressions could be significantly changed by altering the way in which tourists navigate between sightseeing spots and the way in which spots are combined.

    DOI

  • Promoting Environmental Education Using a Multilingual Environment: Manufacturing Soap from Waste Oil

    Bo Wang, Hiroshi Suzuki, Yuqi Liao, Yuya Ieiri, Reiko Hishiyama

    2017 IEEE 41st Annual Computer Software and Applications Conference (COMPSAC)   2   625 - 630  2017.07  [Refereed]

     View Summary

    China is beset by environmental problems. This study focused on addressing China's environmental problems by using a language grid to provide a Japanese environmental education program, 'manufacturing soap from waste oil,' to Chinese students at home and evaluating their practice. The teaching and work experiments comprised observations of the knowledge-transfer process under a multilingual environment and the students 'work during experimental activities, respectively. The results show that a better training effect was obtained by the family groups who performed both teaching and work experiments than by the student groups who performed the teaching experiment only.

    DOI

  • A Walk Rally Application to Motivate Users to Visit Potential Sightseeing Resources

    Yuya Ieiri, Yuu Nakajima, Ryota Ayaki, Reiko Hishiyama

    2017 IEEE 41st Annual Computer Software and Applications Conference (COMPSAC)   2   637 - 642  2017.07  [Refereed]

    Authorship:Lead author

     View Summary

    Tourist numbers have increased considerably in recent years and tourism is now a key industry in the world. While major tourism resources are attracting attention, there are other areas that also hold some value as tourist sites but are not recognized as such. In this paper, these sites are called 'potential sightseeing resources'. It is acknowledged that tourist sightseeing satisfaction will increase by visiting potential sightseeing resources. Thus, a method to recognize potential sightseeing resources is required. In this study, to effectively use potential sightseeing resources situated within various local events, we developed an application that acts as a guide system to support tourism, guiding users to potential sightseeing resources situated within the same areas as a local event. We also analyzed accelerated patterns leading users to potential sightseeing resources and verified the effects via an experiment. As a result, it was confirmed that the application was successful in leading users to potential sightseeing resources by the application, however, certain conditions are required for non-monetary incentives to be effective.

    DOI

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Works

  • ぶらり戸山イラストマップ

    家入祐也, 早川宏美, 菱山玲子, 中谷礼二  Other 

    2019.03
    -
     

     View Summary

    新宿区の戸山地域のためのエリアマップであり,広く一般に配布している.マップの企画,現地調査,店主インタビュー,収集した情報の編集,エッセイ部分の執筆,を担当した.

Awards

  • 奨励賞

    2021.02   経営情報学会第16回学生論文発表会  

    Winner: 家入祐也

  • 第7回FOST新人賞

    2020.11   公益財団法人科学技術融合振興財団  

    Winner: 家入祐也

  • Best Presentation Award,

    2020.09   5th International Conference on Cloud Computing and Internet of Things  

  • Best Presentation Award,

    2020.03   2nd International Conference on Image, Video and Signal Processing  

  • 貢献賞

    2019.09   合同エージェントワークショップ&シンポジウム2019  

    Winner: 家入祐也

  • 専攻賞

    2019.03   早稲田大学創造理工学研究科経営システム工学専攻  

    Winner: 家入祐也

  • 小野梓記念賞

    2019.03   早稲田大学  

    Winner: 家入祐也

  • 学生奨励賞

    2018.03   第80回情報処理学会全国大会  

    Winner: 家入 祐也, 中島 悠, 菱山 玲子

  • Best Oral Presentation Award,

    2018.01   9th International Conference on E-Education, E-Business, E-Management and E-Learning  

    Winner: Yuya Ieiri, Yuu Nakajima, Reiko Hishiyama

  • Best Paper Candidates,

    2017.09   Culture and Computing 2017  

    Winner: Yuya Ieiri, Takuya Mizukami, Yuu Nakajima, Ryota Ayaki, Reiko Hishiyama

  • 第7回アプリケーションコンテスト優勝

    2016.12   早稲田大学  

    Winner: 家入 祐也, 上野 雅敏, 甲斐 あとり

▼display all

Research Projects

  • Simulation Sciences for Crowded Space Management Through Artificial Society Approach

    Japan Society for the Promotion of Science  Grants-in-Aid for Scientific Research Grant-in-Aid for Scientific Research (A)

    Project Year :

    2018.04
    -
    2023.03
     

  • Construction of Decision Support System by Tensor Data Analysis Considering Sensitivity Information

    Japan Society for the Promotion of Science  Grants-in-Aid for Scientific Research Grant-in-Aid for JSPS Fellows

    Project Year :

    2019.04
    -
    2022.03
     

  • 地域における潜在的観光資源の発掘手法の開発-ウォークラリーゲーミングによる観光行動データの活用―

    公益財団法人科学技術融合振興財団  補助金助成

    Project Year :

    2018.04
    -
    2019.03
     

    家入 祐也

Presentations

  • マルチエージェントシミュレーションによる社会的インパクト投資の分析

    檜物 大輝, 菱山 玲子, 家入 祐也

    第83回情報処理学会全国大会 

    Event date:
    2021.03
     
     
  • 遺跡修復支援のための形状マッチング手法の提案

    藤ノ木 耀平, 蔡 弘亞, 家入 祐也, 菱山 玲子

    第83回情報処理学会全国大会 

    Event date:
    2021.03
     
     
  • Discovering Multiple Clusters of Sightseeing Spots for Improving Tourist Satisfaction Using Network Motif

    Event date:
    2021.03
     
     
  • AI倫理教育におけるケーススタディの適用

    菱山 玲子, 家入 祐也

    第83回情報処理学会全国大会 

    Event date:
    2021.03
     
     
  • Examination of Interaction between Augmented Reality and Traditional Cultural Experiences

    Event date:
    2021.03
     
     
  • 感性情報に着目した人の行動分析に基づく地域マネジメント

    家入祐也

    第16回経営情報学会学生論文発表会 

    Presentation date: 2021.02

  • AR-PoI を用いた誘導時における被誘導者の行動分析

    檜物 大輝, 家入 祐也, 蔡 弘亞, 菱山 玲子

    第82回情報処理学会全国大会 

    Event date:
    2020.03
     
     
  • 言語能力の違いに着目したユニバーサルデザインマップの評価と検討

    孫 ゲツ, 家入 祐也, 菱山 玲子

    第82回情報処理学会全国大会 

    Event date:
    2020.03
     
     
  • AR-POIによる誘導ターゲットと人の相互作用ダイナミクス分析

    田村 郁人, 家入 祐也, 菱山 玲子

    合同エージェントワークショップ&シンポジウム2019 

    Event date:
    2019.09
     
     
  • 拡張現実空間における戸惑いに着目した行動モデルの提案と評価

    家入 祐也, 蔡 弘亞, 田村 郁人, 菱山 玲子

    合同エージェントワークショップ&シンポジウム2019 

    Event date:
    2019.09
     
     
  • ワードウルフにおける発話分類のためのタグセットの設計と評価

    脇田 尚紀, 家入 祐也, 菱山 玲子

    ヒューマンインタフェースシンポジウム2019 

    Event date:
    2019.09
     
     
  • AR-POIによる誘導ナビゲーションの効果分析

    田村 郁人, 家入 祐也, 菱山 玲子

    ヒューマンインタフェースシンポジウム2019 

    Event date:
    2019.09
     
     
  • イエポチ:観光におけるカタルシス曲線描画のためのウェアラブルな意思表示ツール

    家入 祐也, 藤ノ木 耀平, 菱山 玲子

    ヒューマンインタフェースシンポジウム2019 

    Event date:
    2019.09
     
     
  • 馴染み度の違いに着目した偶発的観光資源発掘手法の提案

    家入 祐也, 菱山 玲子

    ヒューマンインタフェースシンポジウム2019 

    Event date:
    2019.09
     
     
  • ポイント制度に着目した消費者行動モデルの検証

    家入 祐也, 中島 悠, 菱山 玲子

    第33回人工知能学会全国大会 

    Event date:
    2019.06
     
     
  • 顧客属性に着目した消費者行動モデルの検討

    家入 祐也, 中島 悠, 菱山 玲子

    第81回情報処理学会全国大会 

    Event date:
    2019.03
     
     
  • 視覚化測位空間における誘導エージェントの効果に関する検討

    桑原 大和, 家入 祐也, 林 厚展, 王 友光, 菱山 玲子

    合同エージェントワークショップ&シンポジウム2018 

    Event date:
    2018.09
     
     
  • 消費者行動モデルに基づく商圏支援策としてのインセンティブ設計

    家入 祐也, 中島 悠, 菱山 玲子

    合同エージェントワークショップ&シンポジウム2018 

    Event date:
    2018.09
     
     
  • 環境問題を対象とした多言語ディスカッションの対話分析

    イクキ ビョウ, 王 博, 家入 祐也, 中島 悠, 菱山 玲子

    第32回人工知能学会全国大会 

    Event date:
    2018.06
     
     
  • IoTセンサデータの統合による商店街の賑わいの推定モデル

    吉野 碧, 家入 祐也, 菱山 玲子

    第32回人工知能学会全国大会 

    Event date:
    2018.06
     
     
  • 街歩きアプリを用いた商店街活性化のためのインセンティブ設計の提案

    家入 祐也, 中島 悠, 菱山 玲子

    第32回人工知能学会全国大会 

    Event date:
    2018.06
     
     
  • アンビエント指向基盤における問題解決サービスの設計と評価

    王 博, イクキ ビョウ, 家入 祐也, 中島 悠, 菱山 玲子

    第80回情報処理学会全国大会 

    Event date:
    2018.03
     
     
  • 環境問題解決のための異言語間コミュニケーションの分析

    イクキ ビョウ, 王 博, 家入 祐也, 中島 悠, 菱山 玲子

    第80回情報処理学会全国大会 

    Event date:
    2018.03
     
     
  • IoTセンサを用いたデータの統合的利用による商店街の賑わい推定モデル

    吉野 碧, 家入 祐也, 菱山 玲子

    第80回情報処理学会全国大会 

    Event date:
    2018.03
     
     
  • 街歩きアプリの利用による観光資源の第一印象と評価の関係の分析

    家入 祐也, 中島 悠, 菱山 玲子

    第80回情報処理学会全国大会 

    Event date:
    2018.03
     
     
  • IoTセンサからの異種データ統合による商店街の賑わい予測モデルの提案

    吉野 碧, 家入 祐也, 菱山 玲子

    合同エージェントワークショップ&シンポジウム2017 

    Event date:
    2017.09
     
     
  • 散策行動ログによる情報統合過程モデルにもとづく潜在的観光資源の発掘

    家入 祐也, 中島 悠, 綾木 良太, 菱山 玲子, 水上卓哉

    合同エージェントワークショップ&シンポジウム2017 

    Event date:
    2017.09
     
     
  • ウォークラリーアプリケーションを用いた潜在的観光資源への訪問動機付け効果

    家入 祐也, 中島 悠, 綾木 良太, 菱山 玲子

    第31回人工知能学会全国大会 

    Event date:
    2017.05
     
     
  • ビデオを併用した多言語コミュニケーションによる安全な遠隔環境教育プログラム

    王 博, 鈴木 宏, イクキ ビョウ, 家入 祐也, 菱山 玲子

    第79回情報処理学会全国大会 

    Event date:
    2017.03
     
     
  • ワセナビ:潜在的観光資源への誘導のためのウォークラリーアプリケーション

    家入 祐也, 中島 悠, 綾木 良太, 菱山 玲子

    第79回情報処理学会全国大会 

    Event date:
    2017.03
     
     

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Syllabus

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Committee Memberships

  • 2018
    -
    2019

    合同エージェントワークショップ&シンポジウム  学生委員

Social Activities

  • Volunteer

    Social Capital Markets Conference 2020 (SOCAP20) 

    2020.10
     
     

Media Coverage

  • 輝く若者たち「アプリで元気な商店街」

    TV or radio program

    テレビ朝日   東京サイト  

    2019.01

     View Summary

    商店街でのフィールド研究を通じた地域連携活動について紹介された.

  • 密着 アプリを開発してアントレプレナーを目指せ

    Newspaper, magazine

    Author: Other  

    早稲田理工 by AERA  

    2017.02

     View Summary

    第7回早稲田大学アプリケーションコンテストに向けた取り組みについて密着取材を受け,コンテストに向けたミーティングや資料の作成,当日の発表の様子や,コンテストで優勝した後の感想等が本記事で紹介された.

Academic Activities

  • International Conference on Collaboration Technologies and Social Computing (CollabTech)

    Peer review

    2021
    -
    Now