Susumu Saito

Ph.D. candidate at Waseda University, Japan

susumu@pcl.cs.waseda.ac.jp

About Me

I am a Ph.D. student in Computer Science at Waseda University, advised by Prof. Tetsunori Kobayashi. I design and develop "Human-AI" systems powered by crowdsourcing and machine learning. I strive to 1) improve crowdworkers' labor environment for higher wages by data-driven approaches, and 2) build ever-evolving AI systems by using crowdsourcing as a module.

I had been formerly funded by Graduate Program for Embodiment Informatics, and now funded by JSPS Research Fellowship (DC2) from April 2019.

Curriculum Vitae

News

Education

Waseda University

Tokyo, Japan

Apr 2017 - Present

Ph.D. in Computer Science - Advised by Prof. Tetsunori Kobayashi

Apr 2015 - Mar 2017

M.E. in Computer Science

Thesis Project: Designing crowd-powered system framework for ever-evolving AI
Apr 2011 - Mar 2015

B.E. in Computer Science

Thesis Project: Video segment recommendation on MOOCs for supplementing information

Carnegie Mellon University

Pittsburgh, Pennsylvania

Sep 2017 - Mar 2018

Visiting Student - Advised by Dr. Jeffrey Bigham

Research Project: Striving to Earn More: A Survey of Work Strategies and Tool Use Among Crowd Workers

University of California, Davis

Davis, California

Aug - Sep 2015

International Program

Selected Publication

Predicting the Working Time of Microtasks Based on Workers' Perception of Prediction Errors

Susumu Saito, Chun-Wei Chiang, Saiph Savage, Teppei Nakano, Tetsunori Kobayashi, and Jeffrey P. Bigham.
Human Computation Journal
[Paper]

MicroLapse: Measuring Workers' Leniency To Prediction Errors of Microtasks' Working Times

Susumu Saito, Teppei Nakano, Tetsunori Kobayashi, and Jeffrey P. Bigham.
The 22th ACM Conference on Computer Supported Cooperative Work and Social Computing Companion (CSCW2019 Poster)
[Paper] [Poster]

TurkScanner: Predicting the Hourly Wage of Microtasks

Susumu Saito, Chun-Wei Chiang, Saiph Savage, Teppei Nakano, Tetsunori Kobayashi, Jeffrey P. Bigham.
The Web Conference 2019   Best Poster Honourable Mention (0.8%)
[Paper] [arxiv] [Poster]

Striving to Earn More: A Survey of Work Strategies and Tool Use Among Crowd Workers

Toni Kaplan*, Susumu Saito*, Kotaro Hara, Jeffrey P. Bigham. (* Equal contribution, alphabetically ordered)
The 6th AAAI Conference on Human Computation and Crowdsourcing (HCOMP2018)
[Paper] [Slides]

Contact

Address
Perceptual Computing Lab.
Room 40-701 27 Waseda-machi
Shinjuku-ku, Tokyo 162-0042, Japan
Mobile Number
+81 80 1987 9784
Email
susumu@pcl.cs.waseda.ac.jp