Publication

Please refer to Google Scholar and Researchmap for my latest publications.

最新の論文発表については、Google ScholarおよびResearchmapをご参照ください。

Peer-reviewed Journal Paper

Zhong Y, Kobayashi M, Matsubara M, Morishima A. Effects of Crowd-in-the-loop Alt Text Addition on the Performance of Visually Impaired Workers in Online Microtasks. The Transaction of Human Interface Society, vol 22, no 3, pp.251-262, Aug. 25, 2020.

Zhong Y, Matsubara M, Kobayashi M, Morishima A. Usability of Audio Matrix Microtasks for Screen Reader Users. The Journal on Technology and Persons with Disabilities, vol 9, Mar. 6-12, 2021, 13 pages(Preseted in CSUN Assistive Technology Conference).

Peer-reviewed International Conference Paper

Zhong Y, Kobayashi M, Matsubara M, Morishima A. 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. (peer-reviewed full paper)

Aizawa A, Bergeron F, Chen J, Cheng F, Hayashi K, Inui K, Ito H, Kawahara D, Kitsuregawa M, Kiyomaru H, Kobayashi M, Kodama T, Kurohashi S, Liu Q, Matsubara M, Miyao Y, Morishim A, Murawaki Y, Omura K, Song H, Sumita E, Suzuki S, Tanaka R, Tanaka Y, Toyoda M, Ueda M, Ueoka H, Utiyama M, Zhong Y. A System for Worldwide COVID-19 Information Aggregation. EMNLP 2020 Workshop NLP-COVID, Virtual Conference, Nov. 19-20, 2020, 8 pages. (peer-reviewed full paper)

Zhong Y, Matsubara M, Kobayashi M, Morishima A.Effects of Cognitive Consistency in Microtask Design with only Auditory Information. In HCII 2020, Copenhagen, Denmark, July 19-24, 2020. (in HCII proceedings, vol 12189, Universal Access in Human-Computer Interaction: Applications and Practice (Part II), Antona M., Stephanidis C. (eds), pp. 466-476.)(peer-reviewed full paper)

Zhong Y, Zhang H. Analysis of imitating behavior on social media. In HCII 2020, Copenhagen, Denmark, 13 pages, July 19-24, 2020.(in HCII 2020 proceedings, LNCS 12427.) (peer-reviewed full paper)

Aizawa A, Bergeron F, Chen J, Cheng F, Hayashi K, Inui K, Ito H, Kawahara D, Kitsuregawa M, Kiyomaru H, Kobayashi M, Kodama T, Kurohashi S, Liu Q, Matsubara M, Miyao Y, Morishim A, Murawaki Y, Omura K, Song H, Sumita E, Suzuki S, Tanaka R, Tanaka Y, Toyoda M, Ueda M, Ueoka H, Utiyama M, Zhong Y. A System for Worldwide COVID-19 Information Aggregation. The 58th Annual Meeting of the Association for Computational Linguistics (ACL 2020), virtual poster session,8 pages, July 9-10, 2020. (peer-reviewed poster paper)

Zhong, Y, Matsubara, M and Morishima, A. Identification of Important Images for Understanding Web Pages. IEEE HMData2018, Seattle, USA, Dec. 10, 2018. (in IEEE Big Data proceedings, pp. 3567-3573.) (peer-reviewed full paper)

Peer-reviewed International Conference Posters and Demos

Zhong Y, Kobayashi M, Matsubara M, Morishima A. A Survey of Visually Impaired Workers in Japanese and US Crowdsourcing Platforms. In HCOMP Wip/Demo track 2020, 3 pages, Hilversum, Netherlands, Oct 26-29, 2020. (peer-reviewed poster paper)

Zhong Y, Matsubara M, Kobayashi M and Morishima A. Understandable Microtasks With No Visual Representation. The 7th AAAI Conference on Human Computation and Crowdsourcing (Hcomp 2019), 3 pages, Portland,USA, Oct 28-30, 2019.

Others

鍾穎, 松原正樹, 小林真, 森嶋厚行:聴覚情報のみによる理解しやすいマイクロタスクデザイン。情報処理学会・アクセシビリティ研究会, 2019-AAC-10(5), 6 pages, 東京, 日本, 2019.8.

Service

Web and Media Co-chair of ICADL 2020