斎藤 奨

GCS研究機構 次席研究員

クラウドソーシング、HCIを専門とし、AIとクラウドが相互を支援する技術・システムの研究開発を行う。2020年3月 早稲田大学 基幹理工学研究科情報理工・情報通信専攻 博士（工学）取得。日本学術振興会特別研究員（DC2、2019.4-2020.3）、カーネギーメロン大学客員研究員（2017.9-2018.3）。現在、株式会社知能フレームワーク研究所に勤務（副社長執行役員兼最高開発責任者）。

主要論文

1. Susumu Saito, Chun-Wei Chiang, Saiph Savage, Teppei Nakano, Tetsunori Kobayashi, and Jeffrey P. Bigham, “Predicting the Working Time of Microtasks Based on Workers’ Perception of Prediction Errors”, Human Computation, 6(1), pp.192-219, December, 2019.
2. Susumu Saito, Teppei Nakano, Tetsunori Kobayashi, and Jeffrey P. Bigham, “MicroLapse: Measuring Workers’ Leniency To Prediction Errors of Microtasks’ Working Times”, In Proc. of the 22th ACM Conference on Computer Supported Cooperative Work and Social Computing (ACM CSCW 2019), pp.352-356, Austin, TX, USA, November, 2019.
3. Susumu Saito, Chun-Wei Chiang, Saiph Savage, Teppei Nakano, Tetsunori Kobayashi, and Jeffrey P. Bigham, “TurkScanner: Predicting the Hourly Wage of Microtasks”, In Proc. of The Web Conference 2019 (WWW ‘19), pp.3187-3193, San Francisco, CA, USA, May, 2019. [Best Poster Honorable Mention (0.8%)]
4. Toni Kaplan*, Susumu Saito*, Kotaro Hara, and Jeffrey P. Bigham, “Striving to Earn More: A Survey of Work Strategies and Tool Use Among Crowd Worker”, In Proc. of the 6th AAAI Conference on Human Computation and Crowdsourcing (HCOMP 2018), pp.70-78, Zurich, Switzerland, July, 2018. (* Equal contribution)
5. Susumu Saito, Teppei Nakano, Makoto Akabane, and Tetsunori Kobayashi, “Evaluation of Collaborative Video Surveillance Platform: Prototype Development of Abandoned Object Detection”, In Proc. of the 10th International Conference on Distributed Smart Cameras (ICDSC ‘16), pp.172-177, Paris, France, 2016.

個人サイト

http://www.susumus.com