研究者詳細 - LU MIN

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) ( Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) ) 12203 LNCS 569 - 580 2020年07月 [招待有り]

国内共著

DOI

Development of a Learning Dashboard Prototype Supporting Meta-cognition for Students

Min Lu, Li Chen, Yoshiko Goda, Atsushi Shimada, Masanori Yamada

Companion Proceedings 10th International Conference on Learning Analytics & Knowledge (LAK20) 104 - 106 2020年03月

Exploring the Design Space for Explainable Course Recommendation Systems in University Environments

Boxuan Ma, Min Lu, Yuta Taniguchi, Shin’ichi Konomi

Companion Proceedings of the 10th International Conference on Learning Analytics & Knowledge (LAK20) 492 - 499 2020年03月

Understanding Jump Back Behaviors in E-book System

Boxuan Ma, Jiadong Chen, Chenhao Li, Likun Liu, Min Lu, Yuta Taniguchi, Shin’ichi Konomi

Companion Proceedings of the 10th International Conference on Learning Analytics & Knowledge (LAK20) 623 - 631 2020年03月

DESIGN OF LEARNING ANALYTICS DASHBOARD SUPPORTING METACOGNITION

Li Chen, Min Lu, Yoshiko Goda, Masanori Yamada

Proceedings of the 16th International Conference on Cognition and Exploratory Learning in Digital Age (CELDA 2019) ( IADIS Press ) 2019年11月

DOI

敵対的生成ネットワークを用いたスライド画像の自動生成

Li Chenhao, Taniguchi Yuta, Lu Min, Konomi Shin'ichi

電気関係学会九州支部連合大会講演論文集 ( 電気・情報関係学会九州支部連合大会委員会 ) 2019 231 - 231 2019年09月

Slides have become an integral part of today’s educational activities, and the use of proper images in teaching slides can improve students’ comprehension and satisfaction. Finding proper images, however, can be a costly task for the authors of teaching slides. We present a study that explores the uses of Generative Adversarial Nets to generate appropriate images automatically, thereby reducing the costs to find proper images for different teaching materials.

DOI CiNii Research

Digital archiving project of paper maps collected for the International Map Exhibition 1980 in Tokyo

Hideki Kaji, Ken’Ichi Tsuruoka, Ruochen Si, Min Lu, Masatoshi Arikawa, Takashi Oguchi

Abstracts of the ICA ( Copernicus GmbH ) 1 1 - 2 2019年07月

Abstract. The Kashiwa Library (KL), The University of Tokyo, holds a collection of old paper maps over the world, about a half of which were originally collected for the International Map Exhibition 1980 in Tokyo. The collection has 3,200 maps published in the 1970s and 1980s, and 1,260 of them were displayed at the exhibition. The map collection is important because it represents the cartography at the emerging era of new technologies and techniques such as satellite remote sensing, computers and GIS for map production (Arikawa et al., 2016). These maps were donated from the Japan Cartographers Association in March 2016, after their collection and storage by the association since the exhibition. In the Japanese fiscal year 2017, the Center for Spatial Information Science (CSIS), The University of Tokyo, and KL started a cooperative research project to produce a digital archive of this map collection, with support from the University of Tokyo Academic Archives Project that facilitates digital archiving of academic materials owned by various units at the university. This presentation explains the procedure of making our digital archive “Kashiwanoha Paper Maps Digital Archive”. “Kashiwanoha” is the address of the Kashiwa Campus of The University of Tokyo where KL and CSIS are located, and it literally means “oak leaf”.

DOI

From walkability to bikeability: A GIS based analysis of integrating bike sharing service in Tokyo TOD system

Tianqi Xia, Xiaoya Song, Xuan Song, Min Lu, Shuzhe Huang, Ryosuke Shibasaki, Kyoung-Sook Kim

Abstracts of the ICA ( Copernicus GmbH ) 1 1 - 2 2019年07月

Abstract. Transit Oriented Development is the approach of urban development which maximizes the land use of residential, business and leisure around the public transit stops. A good TOD system can not only alleviate the contradiction between traffic congestion and insufficient land use for urban development but also significantly improve the convenience of urban residents' work and life. Moreover, while limiting the disorderly spread of the city, a good TOD system can solve the environmental and traffic problems caused by automobiles and promote synergy and integration between the industries. Traditionally, TOD is designed for facilitating the pedestrians to a convenient access to the public transportation systems so as to increase the usage rate of public transports. Despite pedestrians as the target, there are a lot of passengers move to the station via other means such as bus and bicycle. In the previous research, these two kinds of mobility are not included in the evaluation of TOD system as they have a lot of limitation on interacting with the facilities around railway station. In recent years, sharing bicycle becomes popular for solving the problem of the last one kilometer. Comparing to other means of mobility, sharing bicycle is more flexible than bus and has a higher usage rate than private bicycles. In addition, the sharing bike users have a wider access area than the pedestrians. Thus, sharing bicycle is able to play an important role in TOD system. In Tokyo metropolis, there are over 1000 railway stations and more than 50% of residents commute by railway. Nevertheless, the bike sharing system is available only in some specific area, which indicates a lot of room for the development of bike sharing service. In this research, we follow the previous studies of walkability measurement and apply two indicators include road network connectivity and facility accessibility for illustrating how could bike sharing outperforms walking in a TOD system with the case study of Tokyo 23 wards. The result of this research can instruct the government on improving the current TOD system as well as help build a sustainable society.

DOI

Pilot Study to Estimate "Difficult" Area in e-Learning Material by Physiological Measurements.

Kaori Tamura, Tsuyoshi Okamoto, Misato Oi, Atsushi Shimada, Kohei Hatano, Masanori Yamada, Min Lu, Shin'ichi Konomi

Proceedings of the Sixth ACM Conference on Learning @ Scale, L@S 2019, Chicago, IL, USA, June 24-25, 2019. ( ACM ) 35:1 - 35:4 2019年06月

DOI

Proposal and Implementation of an Elderly-oriented User Interface for Learning Support Systems.

Min Lu, Kaori Tamura, Tsuyoshi Okamoto, Misato Oi, Atsushi Shimada, Kohei Hatano, Masanori Yamada, Shin'ichi Konomi

Proceedings of the Sixth ACM Conference on Learning @ Scale, L@S 2019, Chicago, IL, USA, June 24-25, 2019. ( ACM ) 37:1 - 37:4 2019年06月

DOI

学習中の生理応答同時計測による「学びのつまずき」推定システム開発

田村かおり, 岡本剛, 大井京, 島田敬士, 畑埜晃平, 山田政寛, LU Min, 木實新一

情報処理学会シンポジウムシリーズ(CD-ROM) 2019 ( 1 ) ROMBUNNO.2F‐1 2019年06月

J-GLOBAL

高齢者向け学習支援システムためのUIプロトタイプ開発と実験

LU Min, 田村かおり, 岡本剛, 大井京, 島田敬士, 畑埜晃平, 山田政寛, 木實新一

情報処理学会シンポジウムシリーズ(CD-ROM) 2019 ( 1 ) ROMBUNNO.8A‐3 2019年06月

J-GLOBAL

自学学習中における脳波・視線の同時計測・分析システムの開発

田村かおり, 岡本剛, 大井京, 島田敬士, 畑埜晃平, 山田政寛, LU Min, 木實新一

情報処理学会全国大会講演論文集 81st ( 4 ) 4.291‐4.292 - 292 2019年02月

教育者が新規の知識を教授するとき、学習者がいつどこで「つまずき」を感じたかを把握することは非常に重要である。しかし、学習後の主観評価や小テストだけで学習者の「つまずき」を詳細に推定するのは困難である。学習中のリアルタイムな応答や精神状態変化を計測できれば、適切な教授方法の開発に有用であると考えられる。本研究では、学習中の精神状態を反映する信号として、脳波および視線運動に着目し、学習者の脳波・視線の同時計測および信号解析を実現するシステムを開発した。本稿では、本システムにより取得した自学学習中の脳波・視線応答の結果例を紹介するとともに、生理応答計測の教授方法改善可能性について議論する。

CiNii Research J-GLOBAL

高齢者向け学習支援システムのためのデュアルタブレット・ユーザインタフェースの提案と実現

LU Min, 田村かおり, 岡本剛, 大井京, 島田敬士, 畑埜晃平, 山田政寛, 木實新一

情報処理学会全国大会講演論文集 81st ( 4 ) 4.293‐4.294 - 294 2019年02月

若い学生を主な対象に開発された既存の学習支援システムは、高齢学習者にとっては、画面と操作が難しすぎる場合が多い。画面の頻繁な切り替えなど、高齢者の不安感と抵抗感を引き起こしやすい動作の減少のために、連動した2台のタブレットで直感的操作できるユーザインタフェースを提案する。開発したプロトタイプを高齢者に使ってもらったヒアリング調査で、ユーザビリティを評価して、改良点を議論した。

CiNii Research J-GLOBAL

The Potential of Virtual Real World for Usability Test of Location-Aware Apps

Tomoyo Sasao, Ruochen Si, Mitsutoshi Shibuya, Min Lu

DISTRIBUTED, AMBIENT AND PERVASIVE INTERACTIONS ( SPRINGER INTERNATIONAL PUBLISHING AG ) 11587 172 - 186 2019年

Recently, many kinds of location-aware applications of smartphone are developed. However, it is difficult to test them for usability in the same way as the non-location-aware ones because of the test environment. For example, in case of supportive applications for emergency situations, the usability test can be carried out only in normal period of outdoor fields. Key competitive technologies beyond the issues will be Augment Reality and Virtual Reality. We focus on advantages of laboratory experiment and present a usability test environment of location-aware apps based on virtual real world using Google Street View. In this paper, we aim at understanding the weaknesses and strengths of this approach. We developed an initial prototype of the usability test environment and a simple map viewer app. The usability test has two conditions from a designated start point: (c1) go to a designated place and (c2) explore the area freely. We observed two participants' behaviors: (b1) movement in the virtual real world, (b2) body motion, and (b3) operation of the map viewer app. From the results, we discuss the better ways to collect these data as well as the weakness and strengths of laboratory-based usability test environment. These outcomes spotlight laboratory survey's strengths of fine grain spatiotemporal data.

DOI

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