Hiroko Terasawa, Masaki Matsubara, Visda Goudarzi, Makiko Sadakata: Music in Quarantine:
Connections between Changes in Lifestyle, Psychological States, and Musical Behaviors during
COVID-19 Pandemic. Vol.XX, No.XX, Frontiers in Psychology, section Cultural Psychology, 2021.
Fumiya Kimura, Yutaka Ito, Toshiya Matsui, Hidehiko Shishido, Itaru Kitahara, Youhei Kawamura,
Atsuyuki Morishima, “Tourist Participation in the Preservation of World Heritage – A Study at
Bayon Temple in Cambodia–”, Elsevier, Journal of Cultural Heritage, 9 pages, May 2021. [PDF]
Masaki Kobayashi, Hiromi Morita, Masaki Matsubara, Nobuyuki Shimizu, and Atsuyuki Morishima,
“Empirical Study on Effects of Self-Correction in Crowdsourced Image Classification Tasks”, Human
Computation Journal. Vol.8, No. 1, pp.1-24, 2021. [PDF]
Munenari Inoguchi, Keiko Tamura, Kousuke Uo, Masaki Kobayashi, Atsuyuki Morishima,"Time-Cost
Estimation for Early Disaster Damage Assessment Methods, Depending on Affected Area", Fuji
Technology Press Ltd, Journal of Disaster Research, Vol.16, No.4, pp.733-746, June 2021
張 建偉, 白石 優旗, 若月 大輔, 塩野目剛亮, 熊井 克仁, 森嶋 厚行, 「クラウドソーシングに基づく聴覚障害者によるリアルタイム文字情報保障システム開発」(Development
of Crowdsourcing-based Real-Time Captioning System by Deaf and Hard-of-Hearing People),
電子情報通信学会論文誌, Vol.J104-A, No.2, pp.64-74, October 2020[PDF]
Atsuyuki Morishima, Masaki Matsubara, Kei Wakabayashi, Nobutaka Suzuki, Hiroyoshi Ito. “
Computational Division of Labor with Human and AI Workers ”. IEEE Data Engineering Bulletin, Vol.
43 No. 3, pp. 12-15, September 2020.
[PDF]
Ying Zhong, Makoto Kobayashi, Masaki Matsubara and Atsuyuki Morishima, “Effect of
Crowd-in-the-loop Alt Text Addition on the Performance of Visually Impaired Workers in Online
Microtasks,” The Transactions of Human Interface Society, Vol22 No3, pp.251-262, August 2020 [PDF]
Sihem Amer-Yahia, Senjuti Basu Roy, Lei Chen, Atsuyuki Morishima, James Abello Monedero, Pierre
Bourhis, Francois Charoy, Marina Danilevsky, Gautam Das, Gianluca Demartini, Abhishek Dubey, Shady
Elbassuon, David Gross-Amblard, Emilie Hoareau, Munenari Inoguchi, Jared Kenworthy, Itaru
Kitahara, Dongwon Lee, Yunyao Li, Ria Mae Borromeo, Paolo Papotti, Raghav Rao, Sudeepa Roy, Pierre
Senellart, Keishi Tajima, Saravanan Thirumuruganathan, Marion Tommasi, Kazutoshi Umemoto, Andrea
Wiggins, Koichiro Yoshida,
" Making AI Machines Work for Humans in FoW", ACM SIGMOD Record, Vol. 49, No. 2, pp. 30-35, June
2020. [PDF]
David Gross-Amblard, Atsuyuki Morishima, Saravanan Thirumuruganathan,Marion Tommasi, Ko Yoshida,
“Platform Design for Crowdsourcing and Future of Work,” Special Issue on Imagine All the People
and AI in the Future of Work, IEEE Data Engineering Bulletin, Vol. 42 No. 4, pp. 35-45, December
2019.
Eiichi Iwamoto, Masaki Matsubara, Chihiro Ota, Tsutomu Terada, Satoshi Nakamura, Hiroyuki
Kitagawa, and Atsuyuki Morishima. "Passerby Crowdsourcing: Workers' Behavior and Data Quality
Management". Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies
(IMWUT 2018), Article No.: 169, pp 1–20 ,
[PDF]
Yuhki Shiraishi, Jianwei Zhang, Daisuke Wakatsuki, Katsumi Kumai, Atsuyuki Morishima,
“Crowdsourced real-time captioning of sign language by deaf and hard-of-hearing people”
International Journal of Pervasive Computing and Communication (IJPCC), Vol. 13, Issue 1, pp.2-22,
July 2017.
Atsuyuki Morishima, Shun Fukusumi, Hiroyuki Kitagawa, “CyLog/Game Aspect: An Approach to
Separation of Concerns in Crowdsourced Data Management”, Information Systems, Elsevier, Vol.62,
pp. 170-184, December 2016.
権守 健嗣,森嶋 厚行,歳森 敦,北川 博之,「クラウト゛ソーシンク゛テ゛ータ処理における一般化選択フィルタの利用と動的選択手法」(A Method for Dynamic Selection
of Generalized Selection Filters in Crowdsourced Data Processing), 日本データベース学会和文論文誌 Vol.14,
Article No.8, 8 pages, 2016 年 3 月.
[PDF]
青木 秀人, 森嶋 厚行, 「クラウドソーシングによるデータ列挙のための分割統治手法の提案と評価」(Proposal and Evaluation of a Divide and
Conquer Method for Crowdsourced Data Enumeration), 電子情報通信学会論文誌, vol J98-D, No.5, pp.760-773,
2015年5月.
[PDF]
丹治 寛佳, 森嶋 厚行,井ノ口 宗成,北川 博之,「Web情報を用いた竜巻経路推定支援のためのクラウドソーシング技術開発の試み」(An Attempt to Develop
Crowdsourcing Techniques for Identifying Tornado's Paths Based on Web Data), 情報処理学会論文誌
データベース(TOD60), vol.6,No.5, pp.95-106,2013年 12月27日.
[PDF]
権守 健嗣,森嶋 厚行,「クラウドソーシングシステム開発支援のための宣言的記述の提案」(A Declarative Approach to the Development of
Crowdsourcing Systems),日本データベース学会論文誌, Vol 12, No. 1, pp. 85-90, 2013年6月.
[PDF]
太田 壮祐,森嶋 厚行,天笠 俊之,品川 徳秀,「関数従属性と包含従属性を用いたXML-RDBマッピングの提案と評価」(Proposal and Evaluation of an
XML-RDB Mapping Method Based on Functional and Inclusion Dependencies),情報処理学会論文誌データベース, Vol.5,
No.3, pp. 1-14, 2012年9月.
[PDF]
福角 駿,森嶋 厚行,品川 徳秀,北川 博之,「DB抽象化とゲーム理論に基づくマイクロブログからの構造データ抽出GWAPの開発」 (Applying DB Abstraction and
Game Theory to Development of a GWAP for Extracting Structured Data from Microblogs),
日本データベース学会論文誌, Vol 11, No. 1, pp. 19-24, 2012年6月.
[PDF]
高橋 公海,森嶋 厚行,弓矢 英梨佳,杉本 重雄,北川 博之,「ビットシグネチャを用いたWebページの包含従属性発見の効率化」 (Using Bit-Signatures to
Increase Efficiency in Finding Inclusion Dependencies in Web Pages),情報処理学会論文誌データベース, Vol.3, No.3,
pp. 1-10, 2010年9月.
[PDF]
只石 正輝,森嶋 厚行,田島 敬史,「効率のよい子供/子孫問合せ処理のためのグラフデータ格納手法の提案」 (Proposal of a Graph Data Storage for
Efficient Processing of Child/Descendant Queries), 日本データベース学会論文誌, Vol.7, No.3, pp. 55-60,
2008年12月.
[PDF]
査読付国際会議論文Refereed International Conference Proceedings
Haruto Yamasaki, Masaki Matsubara, Hiroyoshi Ito, Yuta Nambu, Masahiro Kohjima, Yuki Kurauchi, Ryuji Yamamoto, Atsuyuki Morishima, "A Cluster-Aware Transfer Learning for Bayesian Optimization of\\Personalized Preference Models in the Crowd Setting",
The Eleventh AAAI Conference on Human Computation and Crowdsourcing (HCOMP2023), November 6–9, 2023, Delft, Netherlands (Accepted)
Shingo Watanabe, Hiroyoshi Ito, Masaki Matsubara, Atsuyuki Morishima, "Human-in-the-loop Latent Space Learning for Bibrecord-based Literature Management",
The 27th International Conference on Theory and Practice of Digital Libraries (TPDL 2023), September26-29 ,2023, Zadar, Croatia(Accepted)
Ayame Shimizu, Kei Wakabayashi, Masaki Matsubara, Hiroyoshi Ito, Atsuyuki Morishima, " Hybrid Crowd-AI Learning for Human-Interpretable Symbolic Rules in Image Classification ",
The 13th International Conference on Smart Computing and Artificial Intelligence (SCAI2023), 8pages, July 8-13, 2023, Koriyama, Japan.
Kanta Negishi, Hiroyoshi Ito, Masaki Matsubara, Atsuyuki Morishima, "Effects of Increasing Working
Opportunity on Result Quality in Labor-Intensive Crowdsourcing", Normality-Virtuality-Inclusivity-Physicality,
18th International Conference, Iconference 2023,pp.277-293, Virtual Academic Program: March 13 - 17, 2023 ,
Onsite Academic Program in Barcelona, Spain, March 27 - 29, 2023.
[PDF]
Tomoya Kanda, Hiroyoshi Ito, Atsuyuki Morishima, "Efficient Evaluation of AI Workers for the Human+AI Crowd Task Assignment",
The 6th IEEE Workshop on Human-in-the-Loop Methods and Future of Work in BigData (IEEE HMData 2022),
Proceedings of 2022 IEEE International Conference on BigData, pp.3995-4001, online(Osaka), 17th December 2022.
[PDF]
Seungun Kim, Masaki Matsubara, Atsuyuki Morishima, " Image Geolocation by Non-Expert Crowd Workers with an Expert Strategy ",
The 6th IEEE Workshop on Human-in-the-Loop Methods and Future of Work in BigData (IEEE HMData 2022),
Proceedings of 2022 IEEE International Conference on BigData, pp.4009-4013, online(Osaka), 17th December 2022.
[PDF]
Yunyi Xiao, Yu Yamashita, Hiroyoshi Ito, Atsuyuki Morishima, " Multi-Armed Bandit Approach to Qualification Task Assignment across Multi Crowdsourcing Platforms",
The 6th IEEE Workshop on Human-in-the-Loop Methods and Future of Work in BigData (IEEE HMData 2022),
Proceedings of 2022 IEEE International Conference on BigData, pp.4040-4048, online(Osaka), 17th December 2022.
[PDF]
Ying Zhong, Makoto Kobayashi, Masaki Matsubara, Atsuyuki Morishima, "Comparative Survey of
Blind, Low-Vision and Sighted Workers on Crowdsourcing Platforms", The Journal on Technology and Persons with Disabities,
vol11, p137-152, The 38th CSUN Assistive Technology Conference, March 13-17, 2023, Anaheim, California, USA.
Shingo Watanabe, Hiroyoshi Ito, Masaki Matsubara and Atsuyuki Morishima, "Bibrecord-based
Literature Management with Interactive Latent Space Learning", The 24th International Conference
on Asia-Pacific Digital Libraries (ICADL 2022),pp.155-171, November30-December2 ,2022, Hanoi, Vietnam.(Best Student Paper)
[PDF]
Yu Yamashita, Hiroyoshi Ito, Kei Wakabayashi, Masaki Kobayashi, Atsuyuki Morishima, “HAEM:
Obtaining Higher-Quality Classification Task Results with AI workers”, The 14th International ACM
Conference on Web Science in 2022 (WebSci’22), 26th-29th June, Barcelona, Spain (Online)
[PDF]
Yu Yamashita, Shunki Takami, Shusuke Shigenaka, Masaki Onishi, Atsuyuki Morishima,"Replacing
Method for Multi-Agent Crowd Simulation by Convolutional Neural Network", Proc. of the Multi-Agent-Based Simulation XXIII, pp. 16-27,
AAMAS 2022 Workshop on Multi-Agent-Based Simulation (MABS2022), Auckland, New Zealand, May 9-10, 2022, Online
Masaki Kobayashi, Hiromi Morita, Atsuyuki Morishima,"Efficient Crowdsourcing for Semantic
Segmentation considering”, 24th International Conference on Human-Computer Interaction (HCII2022), pp.300-307,
26 June - 1 July 2022 [PDF]
Hiroyoshi Ito, Christos Faloutsos: DualCast: Friendship-Preference Co-evolution Forecasting for
Attributed Networks. In Proceedings of the 2022 SIAM International Conference on Data Mining, SDM
2022, Alexandria, Virginia, U.S., April 28 - 30, 2022
[PDF]
Nadeesha Wijerathna, Masaki Matsubara, Atsuyuki Morishima, "Effectiveness of Diverse Evidence for Developing Convincing Proofs with Crowdsourcing",
24th International Conference on Human-Computer Interaction (HCII2022), 26 June - 1 July 2022, Online
[PDF]
Ying Zhong, Masaki Kobayashi, Masaki Matsubara, Atsuyuki Morishima, "Does Multi-Hop
Crowdsourcing Work? A Case Study on Collecting COVID-19 Local Information",The The 5th IEEE
Workshop on Human-in-the-loop Methods and Future of Work in BigData (IEEE HMData2021), Proceedings
of 2021 IEEE International Conference on BigData (BigData), pp.3580-3583, 13-15th December 2021,
Online
[PDF]
Naofumi Osawa, Hiroyoshi Ito, Yukihiro Fukushima, Takashi Harada, Atsuyuki Morishima, "BUBBLE :
A Quality-Aware Human-in-the-loop Entity Matching Framework", The The 5th IEEE Workshop on
Human-in-the-loop Methods and Future of Work in BigData (IEEE HMData2021), Proceedings of 2021
IEEE International Conference on BigData (BigData), pp.3557-3565, 13-15th December 2021, Online
[PDF]
Kanta Negishi, Hiroyoshi Ito, Masaki Matsubara, Atsuyuki Morishima, "A Skill-based Worksharing
Approach for Microtask Assignment", The 5th IEEE Workshop on Human-in-the-Loop Methods and Future
of Work in BigData (IEEE HMData 2021), Proceedings of 2021 IEEE International Conference on
BigData (BigData), pp.3544-3547, 13th-15th December, 2021, Online
[PDF]
Takumi Nakayama, Masaki Matsubara, Atsuyuki Morishima, "Crowd-Worker Skill Improvement with AI
Co-Learners", The 9th International Conference on Human-Agent Interaction(HAI 2021),pp.316-322,
November 9-11, 2021. Online
[PDF]
Masaki Matsubara, Rina Kagawa, Takeshi Hirano and Isao Tsuji, "CROCUS: Dataset of Musical
Performance Critiques: Relationship between Critique Content and Its Utility", the 15th
International Symposium on Computer Music Multidisciplinary Research (CMMR), 15-19 November 2021,
Online
[PDF]
Masaki Matsubara, Rina Kagawa, Takeshi Hirano and Isao Tsuji, "Analysis of Usefulness of
Critique Documents on Musical Performance:Toward better Instructional Document Format", The 23rd
International Conference on Asia-Pacific Digital Libraries (ICADL 2021), December 1-3,2021, Online
[PDF]
Masaki Kobayashi, Kei Wakabayashi, Atsuyuki Morishima, ゛Human+AI Crowd Task Assignment
Considering Result Quality Requirements", The ninth AAAI Conference on Human Computation and
Crowdsourcing (HCOMP2021), Vol.9, pp.97-107, November 14–18, 2021, Online
[PDF]
Masaki Matsubara, Ria Mae Borromeo, Sihem Amer-Yahia, Atsuyuki Morishima, "Task Assignment
Strategies for Crowd Worker Ability Improvement", Proceedings of ACM Human-Computer Interaction,
Vol.5, CSCW2, Article 375, 20 pages, October 23-26, 2021, Online
[PDF]
Hinako Izumi, Masaki Matsubara, Chiemi Watanabe, Atsuyuki Morishima, “Effects of Question Type
Presentation on Raised Questions in a Video Learning Framework”, Diversity, Divergence, Dialogue
16th International Conference, Proceedings, Part Ⅱ pp.114-126, iConference 2021, Beijing, China,
March 17-31, 2021. Online
[PDF]
Hikaru Uchida, Masaki Matsubara, Kei Wakabayashi, Atsuyuki Morishima, "Human-in-the-loop
Approach towards Dual Process AI Decisions", The 2020 IEEE Workshop on Human-in-the-loop Methods
and Human Machine Collaboration in Big Data (IEEE HMData2020), Proceedings of 2020 IEEE
International Conference on BigData (BigData), pp. 3096-3098, Online, 10th December 2020.
[PDF]
Seungun Kim, Masaki Matsubara, Atsuyuki Morishima, “Analysis of Hand-drawn Maps of Places in
Natural Disaster Pictures”, The 2020 IEEE Workshop on Human-in-the-loop Methods and Human Machine
Collaboration in Big data (IEEE HMData2020), Proceedings of 2020 IEEE International Conference on
Big Data (Big Data), pp.3076-3078, online, 10th December 2020, Online
[PDF]
Ying Zhong, Masaki Matsubara, Makoto Kobayashi, Atsuyuki Morishima, “Usability of Audio Matrix
Microtasks for Screen Reader Users ”, the 36th CSUN Assistive Technology Conference (CSUN),
pp.54-70, March 10(8-12) 2021, Online
Mari Kawakami, Tetsuo Sakaguchi, Tetsuya Shirai, Masaki Matsubara, Takamitsu Yoshino and
Atsuyuki Morishima, “Analysis of Crowdsourced Multilingual Keywords in the Futaba Digital Archive:
Lessons Learned for Better Metadata Collection”, The 22nd International Conference on Asia-Pacific
Digital Libraries (ICADL 2020), online, November 30 to December 1, 2020. pp.196-204
[PDF]
Masanari Kimura, Kei Wakabayashi and Atsuyuki Morishima, "Batch Prioritization of Data Labeling
Tasks for Training Classifiers", The eighth AAAI Conference on Human Computation and Crowdsourcing
(HCOMP2020), pp.163-167, Virtual conference, Oct 26–29 2020
[PDF]
Ying Zhong, Masaki Matsubara, Makoto Kobayashi and Atsuyuki Morishima, “Effects of Cognitive
Consistency in Microtask Design with only Auditory Information,” The 22nd International Conference
on Human-Computer Interaction International (HCII2020), Paper in HCII proceedings, vol 12189,
Universal Access in Human-Computer Interaction: Applications and Practice (Part II), Antona M.,
Stephanidis C. (eds), pp. 466-476. Copenhagen, Denmark (Online), Jul. 19-24, 2020.
[PDF]
Masaki Matsubara, Yuhei Matsuda, Ryouhei Kuzumi, Masanori Koizumi, Atsuyuki Morishima,
“Collecting and Organizing Citizen Opinions: A Dynamic Microtask Approach and Its Evaluation. In
International Conference on Information (iConference), pp. 50-65. Springer, Boras, Sweden(Online),
March 23-26, 2020
[PDF]
Yuasa, S., Nakai, T., Maruishi, T., Landsmann, M., Kise, K., Matsubara, M. and Morishima:
Towards Quality Assessment of Crowdworker Output Based on Behavioral Data. In Proceedings of the
3rd IEEE Workshop on Human-in-the-loop Methods and Human Machine Collaboration in Big Data (IEEE
HMData2019), pp. 4659-4661, Los Angels, 2019.12
[PDF]
Kousuke Uo, Masaki Kobayashi, Masaki Matsubara, Yukino Baba and Atsuyuki Morishima, “ Active
Learning Strategies for Hierarchical Labeling Microtasks,” The 2019 IEEE Workshop on
Human-in-the-loop Methods and Human Machine Collaboration in Big Data (IEEE HMData2019),
Proceedings of 2019 IEEE International Conference on BigData (BigData), pp.4647-4650, Los Angeles,
December 9th, 2019.
[PDF]
Hinako Izumi, Masaki Matsubara, Chiemi Watanabe, and Atsuyuki Morishima, “A Microtask Approach
to Identifying Incomprehension for Facilitating Peer Learning,” The 2019 IEEE Workshop on
Human-in-the-loop Methods and Human Machine Collaboration in Big Data (IEEE HMData2019),
Proceedings of 2019 IEEE International Conference on BigData (BigData), pp. 4624-4627, Los
Angeles, December 9th, 2019.
[PDF]
Masafumi Hayashi, Masaki Kobayashi, Masaki Matsubara, Toshiyuki Amagasa, and Atsuyuki Morishima,
“Incentive Design for Crowdsourced Development of Selective AI for Human and Machine Data
Processing: A Case Study,” The 2019 IEEE Workshop on Human-in-the-loop Methods and Human Machine
Collaboration in Big Data (IEEE HMData2019), Proceedings of 2019 IEEE International Conference on
BigData (BigData), pp. 4596-4601, Los Angeles, December 9th, 2019.
[PDF]
Daisuke Aritomo,Chiemi Watanabe, Masaki Matsubara, Atsuyuki Morishima, “A Privacy-preserving
similarity search scheme over encrypted word embeddings,” Proceedings of The 21th International
Conference on Information Integration and W-eb-based Applications and Services (iiWAS2019),
pp.405-414, Munich, Germany, December 2-4, 2019.(Best Paper Award)
[PDF]
Masaki Matsubara, Yuhei Matsuda, Ryohei Kuzumi, Masanori Koizumi, Atsuyuki Morishima, “A Dynamic
Microtask Approach to Collecting and Organizing Citizens' Opinions,” 21st International Conference
on Asia-Pacific Digital Libraries (ICADL2019), Kuala Lumpur, Malaysia, 4 pages, Nov. 4-7, 2019.
[PDF]
Takashi Harada, Yukihiro Fukushima, Sho Sato, Misato Tsuruta, Ryuji Yoshimoto, Atsuyuki
Morishima, "Advancement of bibliographic identification using a crowdsourcing system," Proceedings
of the 9th Asia-Pacific Conference on Library & Information Education and Practice(A-LIEP 2019)
pp. 71-82 Nov 2019.
Atsuyuki Morishima, Munenari Inoguchi, Keishi Tajima, Itaru Kitahara, "Digital Knowledge Era and
the Future of Work: Challenges and the Current Status of JST CyborgCrowd Project," Proceedings of
International Conference on Digital Landscape 2019, NewDelhi, pp. 68-78, Nov. 2019.
Rumi Hiraga, Daisuke Wakatsuki, Yuhki Shiraishi, Masayuki Inoue, Yuka Kogo, Yoshiki Fukunaga,
Makoto Kobayashi, Manabi Miyagi, Takeaki Shionome, Jianwei Zhang, and Atsuyuki Morishima: First
Evaluation of Information Support of everyone by everyone for everyone TimeLine (ISeeeTL) applied
to Deaf and Hard of Hearing People Watching Sport. The 15th International Conference of the
Association for the Advancement of Assistive Technology in Europe (AAATE 2019), pp.S135-S136,
Bologna, Italy, Aug 27-30, 2019.
Masaki Matsubara, Yuta Nakamura, Nobutaka Suzuki, Munenari Inoguchi, Atsuyuki Morishima, "A
Route Search System Considering Urgency and Efficient Coverage without Complete Information", the
First International Workshop on Practical Issues, Systems & Applications for Disaster Risk
Reduction in Smart Computing (DRRSC 2019), pp. 479-483, Kyoto, Japan, Feb 27 (Feb 27-Mar 2), 2019.
Masaki Matsubara, Masaki Kobayashi, Atsuyuki Morishima, "A Learning Effect by Presenting Machine
Prediction as a Reference Answer in Self-correction," In Proceedings of The Second IEEE Workshop
on Human-in-the-loop Methods and Human Machine Collaboration in BigData (IEEE HMData2018), pp.
3521-3527, Seattle, USA, Dec 10 (Dec 10-13), 2018.
[PDF]
Nadeesha Wijerathna, Masaki Matsubara, Atsuyuki Morishima. Finding Evidneces by Crowdsourcing.
In Proceedings of The Second IEEE Workshop on Human-in-the-loop Methods and Human Machine
Collaboration in Big Data (IEEE HMData 2018 ), pp. 3559-3562, Seattle, USA, Dec 10 (Dec 10 - 13),
2018.
[PDF]
Ying Zhong, Masaki Matsubara, Atsuyuki Morishima, "Identification of Important Images for
Understanding Web Pages," In Proceedings of The Second IEEE Workshop on Human-in-the-loop Methods
and Human Machine Collaboration in BigData (IEEE HMData2018), pp. 3567-3573, Seattle, USA, Dec 10
(Dec 10-13), 2018.
[PDF]
Hirotaka Hashimoto, Masaki Matsubara, Yuhki Shiraishi, Daisuke Wakatsuki, Jianwei Zhang and
Atsuyuki Morishima, "A Task Assignment Method Considering Inclusiveness and Activity Degree," In
Proceedings of The Second IEEE Workshop on Human-in-the-loop Methods and Human Machine
Collaboration in BigData (IEEE HMData2018), pp. 3497-3502 , Seattle, WA, USA, 2018.
[PDF]
Atsuyuki Morishima, Keishi Tajima, Itaru Kitahara, Munenari Inoguchi, Masaki Matsubara and
Hidehiko Shishido, “JST CREST CyborgCrowd Project,” Proc. of Project Networking Workshop at the
sixth AAAI Conference on Human Computation and Crowdsourcing (HCOMP 2018), 2 pages, Zurich,
Switzerland, July 5, 2018.
Ken Mizusawa, Keishi Tajima, Masaki Matsubara, Toshiyuki Amagasa, and Atsuyuki Morishima,
"Efficient Pipeline Processing of Crowdsourcing Workflows," In Proceedings of The 27th ACM
International Conference on Information and Knowledge Management, Torino, Italy, October 22–26,
2018 (CIKM ’18), pp.1559-1562 (Acceptance rate 23.4%)
[PDF]
Katsumi Kumai, Masaki Matsubara, Yuhki Shiraishi, Daisuke Wakatsuki, Jianwei Zhang, Takeaki
Shionome, Hiroyuki Kitagawa and Atsuyuki Morishima, Skill-and-Stress-Aware Assignment of
Crowd-Worker Groups to Task Streams, The sixth AAAI Conference on Human Computation and
Crowdsourcing (HCOMP 2018), pp.88-97, Zurich, Switzerland July 6 (July 5–8), 2018
[PDF]
Masaki Kobayashi, Hiromi Morita, Masaki Matsubara, Nobuyuki Shimizu, Atsuyuki Morishima, An
Empirical Study on Short- and Long-term Effects of Self-Correction in Crowdsourced Microtasks, The
sixth AAAI Conference on Human Computation and Crowdsourcing (HCOMP 2018), pp.79-87, Zurich,
Switzerland July 7 (July 5–8), 2018
[PDF]
Suzuki, R., Sakaguchi, T., Matsubara, M. and Morishima, A.: CrowdSheet: An Easy-To-Use One-Stop
Tool for Writing and Executing Complex Crowdsourcing. 30th International Conference on Advanced
Information Systems Engineering(CAiSE 2018), pp.137-153, Tallinn, Estonia, 2018.6
[PDF]
Ryota Hayashi, Nobuyuki Shimizu, Atsuyuki Morishima,
“Worker Viewpoints: Valuable Feedback for Microtask Designers in Crowdsourcing” , The
International Workshop on Social Computing(IWSC 2017), co-organized with the 26th World Wide Web
Conference, pp. 1387-1393, April 4 (April 3-7), 2017.
[PDF]
Kosetsu Ikeda, Ryota Hayashi, Kiyonori Nagasaki, Atsuyuki
Morishima, “Human-assisted OCR of Japanese Books with Different kinds of Microtasks”,
iConference 2017, 5 pages , Wuhun ,China, March 24 (March 22-25) ,2017.
Atsuyuki Morishima, Kiyonori Nagasaki, Kosetsu Ikeda, Takanori Kawashima, “The Hondigi/L-Crowd
Joint Project: A Microtask-based Approach for Transcribing Japanese Texts”, International
Conference on Digital Libraries 2016 (ICDL 2016), pp. 108-115, India Habitat Centre,New Delhi,
Delhi, India, Dec.13-16, 2016.
Jianwei Zhang, Yuhki Shiraishi, Katsumi Kumai, Atsuyuki
Morishima, “Real-time captioning of sign language by group of deaf and hard-of-hearing
people” iiWAS '16 Proceedings of the 18th International Conference on Information Integration and
Web-based Applications and Services, pp.54-63, Singapore, November 28 - 30, 2016.
[PDF]
Ryota Hayashi, Nobuyuki Shimizu, Atsuyuki Morishima,
“Obtaining Rephrased Microtask Questions from Crowds”, the 8th International Conference on Social
Informatics (SocInfo 2016) , pp.323-336, Bellevue, USA, November 14 (November 14-17), 2016
[PDF]
Yui Yasunaga, Atsuyuki Morishima, “MorphingAssist: Seamless Transformation from Keywords to
Structured Queries.” Proc. of 31st ACM Symposium on Applied Computing (SAC 2016), pp.808-811,
Pisa, Italy, April 6, 2016.
[PDF]
Emi Sakurai, Atsuyuki Morishima, Kosetsu Ikeda, Nobutaka Suzuki, “Bookshelf problem: a
human-in-the-loop approach for data grouping without complete information”, Proc. of
iConference2016, 10 pages, Philadelphia, USA, March 21st, 2016.
Shun Fukusumi, Atsuyuki Morishima, Hiroyuki Kitagawa, “Game Aspect: An Approach to Separation of
Concerns in Crowdsourced Data Management”, Proc. of 27th International Conference on Advanced
Information Systems Engineering (CAiSE2015), pp.3-19, Stockholm, Sweden, June 10 , 2015 (Best
Paper Award).
Atsuyuki Morishima, Shiori Tomita, Takanori Kawashima, Takashi Harada, Norihiko Uda, Sho
Sato,Yukihiko Abematsu, “A Crowdsourcing Approach for Finding Misidentifications of Bibliographic
Records,” Proc. of iConference 2014, pp.177-191, Berlin,Germany,March 6,2014.
Atsuyuki Morishima, Takanori Kawashima, Takashi Harada, Norihiko Uda, Ikki Ohmukai,“L-Crowd: A
Library Crowdsourcing Project by LIS and CS Researchers in Japan,” International Conference on
DigitalLibrary(ICDL2013) , pp.40-47,New Delhi, Delhi, India, Nov.28,2013.
Hideto Aoki, Atsuyuki Morishima,” A Divide-and-Conquer Approach for Crowdsourced Data
Enumeration,” The 5th International Conference on Social Informatics
(SocInfo2013),pp.60-74,Kyoto,Nov.25,2013.
Atsuyuki Morishima, Erika Yumiya, Masami Takahashi,Shigeo Sugimoto,Hiroyuki Kitagawa,” Efficient
Filtering and Ranking Schemes for Finding Inclusion Dependencies on the Web,” 22nd International
Conference on Information and Knowledge Management (CIKM),pp763-768, San Francisco,USA,October
29th,2013.
[PDF]
Kenji Gonnokami, Atsuyuki Morishima, Hiroyuki Kitagawa, “Condition-Task-Store: A Declarative
Abstraction for Microtask-based Complex Crowdsourcing,” The First VLDB Workshop on Databases and
Crowdsourcing (DBCrowd2013) ,pp.20-25,Trento,Italy,Aug.26-30,2013.
Yui Yasunaga, Atsuyuki Morishima, Hiroki Sodeyama, Masateru Tadaishi, Shigeo Sugimoto,
“Gradation: A Pay-as-You-Go Style Hybrid Query Language for Structured and Text Data,” Proceedings
of the 2013 iConference, pp.209-220, Fort Worth, Texas, USA,Feb 12-15,2013.
Tomomi Mitsuishi, Atsuyuki Morishima, Norihide Shinagawa, Hideto Aoki, “Efficient Evaluation of
Human-powered Joins with Crowdsourced Join Pre-filters,” The 7th ACM International Conference on
Ubiquitous Information Management and Communication (ICUIMC2013), 6 pages, Kota Kinabalu,
Malaysia, January 17-19, 2013.
Sousuke Ohta, Atsuyuki Morishima, Toshiyuki Amagasa, Norihide Shinagawa, “C-Mapping: A Flexible
XML-RDB Mapping Method based on Functional and Inclusion Dependencies.” Proc. the 27th ACM
Symposium On Applied Computing (SAC 2012), pp.834-839, Trento, Italy, March 26-30, 2012.
Atsuyuki Morishima,Norihide Shinagawa, Shoji Mochizuki, “The Power of Integrated Abstraction for
Data-Centric Human/Machine Computations.” First International Workshop on Searching and
Integrating New Web Data Sources (VLDS2011), pp. 5-9, Seattle, WA, USA, September 2, 2011.
国際会議ポスター・デモなどPosters / Demos
Tomoya Kanda, Hiroyoshi Ito, Nobutaka Suzuki, Atsuyuki Morishima, "A Logic-based Microtasking Approach for LLMs and Human Processing", Demonstration track,
The Eleventh AAAI Conference on Human Computation and Crowdsourcing (HCOMP2023), November 6–9, 2023,Delft, Netherlands (Accepted)
Yunyi Xiao, Yu Yamashita, Hiroyoshi Ito, Masaki Matsubara, Atsuyuki Morishima, " Multi-Armed
Bandit Approach to Task Assignment across Multi Crowdsourcing Platforms", The Tenth AAAI
Conference on Human Computation and Crowdsourcing (HCOMP2022), Work-in-Progress, November 6–10, 2022,
Virtual (Accepted)
Kai Kida, Hiroyoshi Ito, Masaki Matsubara, Nobutaka Suzuki, Atsuyuki Morishima, " Aggregating
Crowd Intelligence over Open Source Information: An Inference Rule Centric Approach", The Tenth
AAAI Conference on Human Computation and Crowdsourcing (HCOMP2022), Work-in-Progress, November 6–10,
2022, Virtual (Accepted)
Yu Yamashita, Hiroyoshi Ito, Kei Wakabayashi, Masaki Kobayashi, Atsuyuki Morishima, " HAEM:
Obtaining Higher-Quality Classification Task Results with AI Co-Workers", Tne Ninth AAAI
Conference on Human Computation and Crowdsourcing (HCOMP2021), Online, November 14-18 2021.
[PDF]
Naofumi Osawa, Yukihiro Fukushima, Takashi Harada, Atsuyuki Morishima, “ An Attempt to
Integration of Bibliographic Data Using Machine Learning” , iConference 2021 Student Symposium,
online, March 19 (March 18 - April 1) 2021.
Takumi Nakayama, Masaki Matsubara, Atsuyuki Morishima, ″MicroTask Assignment Strategy
Considering the Skill Improvement of Both Humans and AI”, iConference 2021 Student Symposium,
online, March 19 (March 18 - April 1) 2021.
Ying Zhong, Makoto Kobayashi, Masaki Matsubara and Atsuyuki Morishima, "A Survey of Visually
Impaired Workers in Japanese and US Crowdsourcing Platforms", The eighth AAAI Conference on Human
Computation and Crowdsourcing (HCOMP2020), Virtual conference, Oct 26–29 2020, pp.xx-yy(to appear)
[PDF]
Yu Yamashita, Masaki Kobayashi, Kei Wakabayashi and Atsuyuki Morishima, "Dynamic Worker-Task
Assignment for High-Quality Task Results with ML Workers", The eighth AAAI Conference on Human
Computation and Crowdsourcing (HCOMP2020), Virtual conference, Oct 26–29 2020, pp.xx-yy(to appear)
[PDF]
Akiko Aizawa, Frederic Bergeron, Junjie Chen, Fei Cheng, Katsuhiko Hayashi, Kentaro Inui,
Hiroyoshi Ito, Daisuke Kawahara, Masaru Kitsuregawa, Hirokazu Kiyomaru, Masaki Kobayashi, Takashi
Kodama, Sadao Kurohashi, Qianying Liu, Masaki Matsubara, Yusuke Miyao, Atsuyuki Morishima, Yugo
Murawaki, Kazumasa Omura, Haiyue Song, Eiichiro Sumita, Shinji Suzuki, Ribeka Tanaka, Yu Tanaka,
Masashi Toyoda, Nobuhiro Ueda, Honai Ueoka, Masao Utiyama, Ying Zhong,
“ A System for Worldwide COVID-19 Information Aggregation,” NLP COVID-19 Workshop, The 58th Annual
Meeting of the Association for Computational Linguistics (ACL 2020), virtual poster session, July
9-10, 2020.
Masaki Kobayashi, Kei Wakabayashi, and Atsuyuki Morishima, “ Quality-aware Dynamic Task
Assignment in Human+AI Crowd,” In Companion Proceedings of the Web Conference 2020 (WWW '20
Companion), pp.118-119, April 20– 24, 2020, Taipei, Taiwan. ACM, New York, NY, USA.
[PDF]
Kohta Katsuno, Masaki Matsubara, Chiemi Watanabe and Atsuyuki Morishima, “Improving
Reproducibility of Crowdsourcing Experiments,” The 7th AAAI Conference on Human Computation and
Crowdsourcing (HCOMP2019), Wip/Demo track, 2 pages, Skamania Lodge, WA, USA, Oct.28-30, 2019.
Ying Zhong, Masaki Matsubara, Makoto Kobayashi and Atsuyuki Morishima, “Understandable
Microtasks with No Visual Representation,” The 7th AAAI Conference on Human Computation and
Crowdsourcing (HCOMP2019), Wip/Demo track, 2 pages, Skamania Lodge, WA, USA, Oct.28-30, 2019.
Tomoya Mikami, Masaki Matsubara, Takashi Harada and Atsuyuki Morishima: Worker Classification
based on Answer Pattern for Finding Typical Mistake Patterns. In Proceedings of The Second IEEE
Workshop on Human-in-the-loop Methods and Human Machine Collaboration in BigData (IEEE
HMData2018), pp. 3528-3532, Seattle, USA, Dec 10 (Dec 10-13), 2018.
Yusuke Suzuki, Masaki Matsubara, Keishi Tajima, Toshiyuki Amagasa, Atsuyuki Morishima: A
Cache-based Approach to Dynamic Switching between Different Dataflows in Crowdsourcing. In
Proceedings of The Second IEEE Workshop on Human-in-the-loop Methods and Human Machine
Collaboration in BigData (IEEE HMData2018), pp. 3551-3553, Seattle, USA, Dec 10 (Dec 10-13), 2018.
Morishima, A., Tajima, K., Kitahara, I., Inoguchi, M., Matsubara, M. and Shishido, H. JST CREST
CyborgCrowd Project. Proc. of Project Networking Workshop at The sixth AAAI Conference on Human
Computation and Crowdsourcing (HCOMP 2018), 3 pages, Zurich, Switzerland July 5, 2018
Suzuki, R., Sakaguchi, T., Matsubara, M. and Morishima, A. “CrowdSheet: Instant Implementation
and Out-of-Hand Execution of Complex Crowdsourcing”, 34th IEEE International Conference on Data
Engineering, pp.1633-1636, Paris, 2018.4
Yuzuki Furuhashi, Matsubara Masaki, Atsuyuki Morishima. “Crowd-based Best-effort Number
Estimation”, The First IEEE Workshop on Human-Machine Collaboration in BigData (HMData2017),
pp.4293-4295, Boston, USA, Dec 11 (Dec 11-14), 2017
Naoki Kobayashi, Matsubara Masaki, Keishi Tajima, Atsuyuki Morishima. “A Crowd-in-the-Loop
Approach for Generating Conference Programs with Microtasks”, The First IEEE Workshop on
Human-Machine Collaboration in BigData (HMData2017), pp.4312-4314, Boston, USA, Dec 11 (Dec
11-14), 2017
Katsumi Kumai, Yuhki Shiraishi, Jianwei Zhang, Hiroyuki Kitagawa, Atsuyuki Morishima. “Group
Rotation Type Crowdsourcing”, The Fourth AAAI Conference on Human Computation and Crowdsourcing
(HCOMP 2016) , 3 pages, AT&T Executive Conference Center, Austin, USA, Nov 2 (Oct 30-Nov 4), 2016
Kosetsu Ikeda, Atsuyuki Morishima, Habibur Rahman, Senjuti Basu Roy, Saravanan
Thirumuruganathan, Sihem Amer-Yahia, Gautam Das. “Collaborative Crowdsourcing with Crowd4U”. 42nd
International Conference on Very Large Data Bases (VLDB2016), pp1497-1500 New Delhi, India, Sep 6
(Sep 5-9), 2016.
Nobuyuki Shimizu, Atsuyuki Moirshima, Ryota Hayashi. “A Crowdsourcing Method for Obtaining
Rephrased Questions”. Proc. of Third AAAI Conference on Human Computation and Crowdsourcing
(HCOMP2015) WorkInProgress, pp. 32-33, San Diego, USA, Nov 8-11, 2015.
Atsuyuki Morishima, Sihem Amer-Yahia, Senjuti Basu Roy. “Crowd4U: An Initiative for Constructing
an Open Academic Crowdsourcing Network” , Second AAAI Conference on Human Computation and
Crowdsourcing (HCOMP 2014) WorkInProgress, pp. 50-51, Pittsburgh, USA, Nov 2-4), 2014.
Atsuyuki Morishima, Norihide Shinagawa, Tomomi Mitsuishi, Hideto Aoki, Shun
Fukusumi,“CyLog/Crowd4U: A Declarative Platform for Complex Data-centric Crowdsourcing,” 38th
International Conference on Very Large Data Bases(VLDB2012), PVLDB 5(12): 1918-1921
(2012),Istanbul, Turkey, Aug 27-31,2012.
Erika Yumiya, Atsuyuki Morishima, Masami Takahashi, Shigeo Sugimoto, Hiroyuki
Kitagawa,“Filtering and Ranking Schemes for Finding Inclusio[PDF]
著書Books
森嶋 厚行著・喜連川 優コーディネーター, “クラウドソーシングが不可能を可能にする―小さな力を集めて大きな力に変える科学と方法―”, ISBN 978-4-320-00932-5, 200
pages, 共立出版,2020年5月18日.
Sihem Amer-Yahia, Lei Chen, Atsuyuki Morishima, Senjuti Basu Roy (Eds). Special Issue on
Imagine All the People and AI in the Future of Work. IEEE Data Engineering Bulletin. Vol. 42 No.
4, December 2019.
Atsuyuki Morishima, Andreas Rauber, Chern Li Liew,
”Digital Libraries: Knowledge, Information, and Data in an Open Access Society”, 18th
International Conference on Asia-Pacific Digital Libraries, ICADL 2016, Tsukuba, Japan, December
7-9, 2016, Proceedings. Lecture Notes in Computer Science 10075, Springer 2016, ISBN
978-3-319-49303-9.
品川 有輝, 森嶋 厚行, 中村 聡史, 寺田 努,「日常空間に組み込んだHuman Computation環境によるクラウドソーシングタスク処理」(Human Computation
Environment Embedded in Living Spaces for Crowdsourcing Task Processing),
インタラクション2014論文集,pp706-707, 日本科学未来館,東京都江東区,2014年 2月 20日.
三津石 智巳,森嶋 厚行,品川 徳秀,青木 秀人,「Human-powered Join処理に対するクラウドソーシングを用いた効率化手法の評価」(Evaluation of a
Crowdsourced Method for the Efficient Processing of Human-powered Joins), 第3回ソーシャルコンピューティングシンポジウム
(SoC 2012), pp.103-108,青山学院大学,東京,2012江東区23日.
太田千尋, 森嶋 厚行, 中村聡史, 寺田努, 「歩行中のマイクロタスク処理のデータ品質向上に関する一検討」(A consideration on data quality
improvement for microtask processing while walking), 情報処理学会第77回全国大会講演論文集(DVD-ROM), 2 pages,
京都大学吉田キャンパス,京都府京都市,2015年3月17日.
丹治 寛佳,森嶋 厚行,井ノ口 宗成, 「Web情報を用いた災害状況把握のためのクラウドソーシング用マイクロタスク設計の試み」(An Attempt to Design Microtasks
to Use Web Data To Infer Disaster Situations), 2013年電子情報通信学会総合大会講演論文集,1 pages,
岐阜大学,岐阜県岐阜市,2013年3月19日.
富田 栞,森嶋 厚行,川島 隆徳,宇陀 則彦, 原田 隆史, 「クラウドソーシングによる書誌誤同定発見のためのタスク設計」(Design of Crowdsourcing Tasks for
Finding Bibliographic Misidentifications), 2013年電子情報通信学会総合大会講演論文集 ,1 pages,
岐阜大学,岐阜県岐阜市,2013年3月19日.
安永ゆい,袖山広輝,森嶋厚行,只石正輝,「構造/テキストWebデータ用ハイブリッド問合せ言語を用いた問合せ構築支援」(Support of Query Construction with a
Hybrid Query Language for Structured and Text Web Data),情報処理学会第74回全国大会講演論文集(第1分冊), pp. 597-598,
名古屋工業大学,2012年3月6日.