Papers - Miyata, Yosuke

Factors Affecting Digital Skills

IWASE Azusa, YAMAOKA Kana, WANG Yuqing, HIROE Risako, YOSHIDA Naoki, MIYATA Yosuke, ISHITA Emi, KURATA Keiko

Journal of Japan Society of Library and Information Science (Japan Society of Library and Information Science)  66 ( 4 ) 101 - 112 2020

ISSN  13448668

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<p>　Factors affecting digital skills were analyzed using open data from the International Adult Power Survey (PIAAC: Programme for the International Assessment of Adult Competencies) conducted in 38 countries in 2011-2018. The number of correct answers (15,702 cases from 25 countries) to questions on problem solving ability (PSTRE: Problem Solving in Technology-Rich Environments) utilizing information technology (IT) that are supposed to reflect digital skills were used. The analysis procedure was as follows. 1. Comparison of the correct answer rates for PSTRE tasks in each country. 2. Factor analysis of 63 questions selected from background surveys (such as daily media use). 3. Regression analysis using the factor scores for selected factors, age, gender and educational background as the explanatory variable, and the number of correct answers to PSTRE for each respondent as the objective variable. The results for all 25 countries, Japan, and three countries in Northern Europe (Nordic countries) were grouped and analyzed. The results indicated that the correct answer rate for each question varied between countries, and the factors affecting the number of correct answers for the question varied between the three groups. In particular, age and educational background factors affected PSTRE in all groups, and there was no significant difference between genders in Japan and the three Nordic countries.</p>

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Data integration as the major mode of data reuse

Y Sakai, Y Miyata, K Yokoi, Y Wang, K Kurata

Proceedings of the Association for Information Science and Technology 57 (1 …  2020

公立図書館の複合施設化と図書館利用

宮田洋輔

帝京大学学修・研究支援センター論集= Teikyo journal of Center for Active … 10   31 - 42 2019.03

Research paper (bulletin of university, research institution), Single Work

「『学びをデザインする』 世界のラーニングコモンズ最前線ー学生のアイデアを形にする学習空間の作り方」 報告

宮田洋輔

帝京大学 学修・研究支援センター論集, 135-137  2019

Long-term Preservation of pdf files in institutional repositories in Japan

A Ikeuchi, Y Miyata, T Agata

iPRES 2019  2019

A Qualitative Comparative Analysis of Factors on Disparity of Public Library Services within Prefectures

宮田 洋輔

帝京大学 学修・研究支援センター論集 (八王子 : 帝京大学 学修・研究支援センター)  9   31 - 44 2018.03

Research paper (bulletin of university, research institution), Single Work,  ISSN  2433-6912

Analyzing Library?and?Information Science Full-Text Articles using a Topic Modeling Approach

Keiko Kurata, Yosuke Miyata, Emi Ishita, Michimasa Yamamoto, Fang Yang, Azusa Iwase

ASIS&T annual meeting, Proceedings of the Association for Information Science and Technology 55 ( 1 ) 847 - 848 2018

Joint Work, Accepted

Analyzing Library and Information Science Full-Text Articles Using a Topic Modeling Approach

Keiko Kurata, Yosuke Miyata, Emi Ishita, Michimasa Yamamoto, Fang Yang, Azusa Iwase

Proceedings of the 81st ASIS&T Annual Meeting, (Association for Information Science & Technology)  55 ( 1 ) 847 - 848 2018

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Copyright © 2018 by Association for Information Science and Technology The topic modeling approach can indicate hidden relationships between articles in a particular academic discipline. This study aims to examine topics in library and information science (LIS) using the latent Dirichlet allocation method. From representative five journals, 1,648 full-text articles were analyzed. We labeled 30 identified topics based on the top 10 highly weighted terms for each topic, title, and body of articles. From the topic mapping, commonly used methods and shift of research issues in LIS were found.

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LDA を用いた図書館情報学の研究トピックの変化: 2 期間の雑誌論文の全文を対象に

宮田洋輔， 山本通正， 楊芳， 岩瀬梓， 石田栄美， 倉田敬子， 上田修一

三田図書館・情報学会研究大会発表論文集, 41-44  2018

Analyzing library and information science full‐text articles using a topic modeling approach

K Kurata, Y Miyata, E Ishita, M Yamamoto, F Yang, A Iwase

Proceedings of the Association for Information Science and Technology 55 (1 …  2018

Print or digital? Reading behavior and preferences in Japan

K Kurata, E Ishita, Y Miyata, Y Minami

Journal of the Association for Information Science and Technology 68 (4 … (WILEY-BLACKWELL)  68 ( 4 ) 884 - 894 2017.04

Research paper (scientific journal), Joint Work, Accepted,  ISSN  23301635

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In today's digital age, daily reading may be becoming digital reading. To understand this possible shift from reading print media to reading digital media, we investigated reading behavior for 11 media and reading preferences between print and digital in different circumstances. In August 2012, an online survey was used to inquire about the reading behavior and preference of 1,755 participants, ranging in age from 18 to 69 years. The participants contained equal numbers of men and women from five age brackets. Our main finding was that approximately 70% of total reading time was spent on digital media and that preferences favored print media. Cluster analysis of reading time by media was used to categorize respondents into eight clusters, and a second cluster analysis on stated preference (digital or print) yielded six clusters. The correspondence analysis between reading behavior clusters and preference clusters revealed that there is a mismatch between reading behavior and stated preference for either print or digital media.

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A structural equation model of information retrieval skills

Ishita M., Miyata Y., Ueda S., Kurata K.

CHIIR 2017 - Proceedings of the 2017 Conference Human Information Interaction and Retrieval (CHIIR 2017 - Proceedings of the 2017 Conference Human Information Interaction and Retrieval)     317 - 320 2017.03

ISSN  9781450346771

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© 2017 ACM. Identifying factors that influence information retrieval skills can help us to understand search behavior and show what skills are required to conduct efficient and accurate searches. This paper describes a study in which relationship factors that influence the information retrieval skills of a cohort of 1,551 Japanese Internet users are investigated using a combination of survey methods, factor analysis, and structural equation modeling. Our factor analysis confirms the importance of three sub-skill groups that are similar to sub-skill groups that have been previously reported (i.e., formal Internet skills, operational skills, and assessment skills) and indicates the importance of a fourth group (which we call "search strategy skills"). Our structural equation model incorporates two novel factors that have not previously been studied in this context: critical thinking ability, and self-efficacy for the Internet and information retrieval. The results show that critical thinking ability and self-efficacy positively influence the information retrieval skill level, and age is found to be a negative influence. Contrary to previously reported results, little independent effect is seen from educational attainment.

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User Perception on Problematic Behavior in Library

宮田 洋輔

帝京大学総合教育センター論集 : fundamental education (八王子 : 帝京大学総合教育センター)  8   53 - 76 2017.03

Research paper (bulletin of university, research institution), Single Work,  ISSN  1884-703X

Style and Access of Presentations in Academic Conferences

MIYATA Yosuke, UEDA Shuichi, WAKAMIYA Shun, ISHITA Emi, KURATA Keiko

Journal of Japan Society of Library and Information Science (Japan Society of Library and Information Science)  63 ( 2 ) 109 - 118 2017

Research paper (scientific journal), Joint Work, Accepted,  ISSN  1344-8668

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<p>This article explores the current status of presentations in academic conferences for research activities. We conducted a case study on academic conference Web sites as well as a questionnaire survey by e-mail. From the survey of 54 Web sites of academic societies, we found that they held academic conferences regularly and that the management of conferences by local executive committees tended to follow that of previous conferences. The questionnaire survey targeted the secretariats of academic societies; we analyzed the responses from 285 academic societies and obtained the following results. (1) A poster presentation was made at many conferences in the natural and medical sciences. (2) Most academic conferences employed a peer-review system. (3) Oral presentations only or oral presentation with handout were permitted in the humanities and social sciences. (4) A few academic societies recorded presentations in digital format and subsequently offered access to those recordings. Academic conferences have been regarded as an area of informal communication. Because presentations are included in academic conferences, they have not been formal research results. And then they should not be archived and made available in open access.</p>

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User's Preferences for Active Learning Space in Academic Libraries

宮田 洋輔

帝京大学総合教育センター論集 : fundamental education (八王子 : 帝京大学総合教育センター)  7 ( 7 ) 39 - 56 2016.03

Research paper (bulletin of university, research institution), Single Work,  ISSN  1884-703X

Information Retrieval Skills in Web Environment

MINAMI Yukiko, IWASE Azusa, MIYATA Yosuke, ISHITA Emi, UEDA Shuichi, KURATA Keiko

Journal of Japan Society of Library and Information Science (Japan Society of Library and Information Science)  62 ( 3 ) 163 - 180 2016

Research paper (scientific journal), Joint Work, Accepted,  ISSN  1344-8668

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<p>In this research, the information retrieval (IR) skills in web environment are newly defined as professional skills and knowledge for traditional information retrieval in conjunction with digital skills described by van Deursen. To assess the status of IR skills in Japan, an online questionnaire-based survey was conducted in August 2014. Ultimately, 1,551 participants responded. The results showed the following trends among the participants: (1) not using advanced search technique such as Boolean operator, (2) understanding the format of information on web, (3) carefully choosing search terms, (4) evaluating multiple search results based on certain evaluation criteria, and (5) feeling that they receive benefits from the Internet. Moreover, based on the hierarchical clustering analysis of their information retrieval skills, the participants were categorized into eight clusters. One of the clusters comprised the participants with highly performing IR skills. The characteristics of this cluster members included relatively younger generation, males, highly educated, high critical thinking ability, and high self-efficiency. Although this cluster members achieved the highest average scores on each IR skill, their scores on search technique skills were significantly less developed than those on other skills.</p>

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学会発表の形式とアクセスの現況

宮田洋輔， 石田栄美， 倉田敬子

日本図書館情報学会研究大会発表論文集, 23-26  2016

Life span of web pages: A survey of 10 million pages collected in 2001

Agata T., Miyata Y., Ishita E., Ikeuchi A., Ueda S.

Proceedings of the ACM/IEEE Joint Conference on Digital Libraries (Proceedings of the ACM/IEEE Joint Conference on Digital Libraries)     463 - 464 2014.12

ISSN  9781479955695

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© 2014 IEEE. This paper highlights the results of a survival survey and life span study of 10 million web pages, mainly in Japanese, that were collected for NTCIR-3 (web task) in 2001. To calculate web page life span, metadata was collected from Internet Archive's Wayback Machine via Memento. The life span study showed that the average life span of a web page is 1,132.1 days.

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Life span of web pages: A survey of 10 million pages collected in 2001

T Agata, Y Miyata, E Ishita, A Ikeuchi, S Ueda

IEEE/ACM Joint Conference on Digital Libraries, 463-464  2014

Automatic Detection of Scientific Papers Based on Their Structure and Elements

ISHITA Emi, AGATA Teru, MIYATA Yosuke, IKEUCHI Atsushi, UEDA Shuichi

Journal of Japan Society of Library and Information Science (日本図書館情報学会)  60 ( 1 ) 18 - 34 2014

Joint Work, Accepted,  ISSN  1344-8668

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In this paper, we develop rules for the automatic detection of scientific papers from PDF files on the Web. We inspected the structure and elements of scientific papers and observed that scientific papers typically have certain basic elements and an IMRAD format. We examined 1,172 scientific papers on the Web. The results indicate that the papers share common elements such as title, authors, keyword, and references and 40% of the papers, which have an explicit structure, have an IMRAD or a similar format. We develop rules for automatic detection of scientific papers using information based on their structure and elements obtained from the inspection process. The rules are evaluated using English and Japanese PDF collections, which were compiled by random sampling from the Web and consisted of 20,000 files each. Random forest classifier is performed and an F-value of 0.74 is obtained for English PDF files and 0.53 for Japanese PDF files. These results indicate that the rules developed using the approach given in this study can detect scientific papers from PDF files on the Web.

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