Michael Bernstein

ichael Bernstein is an Associate Professor of Computer Science and STMicroelectronics Faculty Scholar at Stanford University, where he is a member of the Human-Computer Interaction group. His research focuses on the design of social computing and crowdsourcing systems. Michael has received eight best paper awards at premier computing venues, and he has been recognized with an NSF CAREER award and an Alfred P. Sloan Fellowship. His Ph.D. students have gone on both to industry (e.g., Adobe Research, Facebook Data Science, entrepreneurship) and faculty careers (e.g., Carnegie Mellon, UC Berkeley). Michael holds a bachelor's degree in Symbolic Systems from Stanford University, as well as a master's degree and a Ph.D. in Computer Science from MIT.

Publications

HYPE: Human eYe Perceptual Evaluation of Generative Models Sharon ZhouSharon Zhou*, Mitchell GordonMitchell Gordon*, Ranjay KrishnaRanjay Krishna, Austin Narcomey, Li Fei-Fei, Michael Bernstein NeurIPS 2019

Did It Have To End This Way? Understanding the Consistency of Team Fracture Mark WhitingMark Whiting, Allie Blaising, Chloe Barreau, Laura Fiuza, Nik Marda, Melissa Valentine, and Michael Bernstein CSCW 2019

Fair Work: Crowd Work Minimum Wage with One Line of Code Mark WhitingMark Whiting, Grant Hugh, and Michael Bernstein HCOMP 2019

AI-based Request Augmentation to Increase Crowdsourcing Participation Junwon Park, Ranjay KrishnaRanjay Krishna, Pranav Khadpe, Li Fei-Fei, Michael Bernstein HCOMP 2019

Scene Graph Prediction with Limited Labels Vincent Chen, Paroma Varma, Ranjay KrishnaRanjay Krishna, Michael Bernstein, Christopher Re, Li Fei-Fei ICCV 2019

Information Maximizing Visual Question Generation Ranjay KrishnaRanjay Krishna, Michael Bernstein, Li Fei-Fei CVPR 2019

Street-Level Algorithms: A Theory At The Gaps Between Policy and Decisions Ali AlkhatibAli Alkhatib, Michael Bernstein CHI 2019

Conservation of Procrastination: Do Productivity Interventions Save Time or Just Redistribute It? Geza KovacsGeza Kovacs, Drew Mylander Gregory, Zilin Ma, Zhengxuan Wu, Golrokh Emami, Jacob Ray, Michael Bernstein CHI 2019

Hive: Collective Design Through Network Rotation Niloufar SalehiNiloufar Salehi, Michael Bernstein CSCW 2018

Rotating Online Behavior Change Interventions Increases Effectiveness But Also Increases Attrition Geza KovacsGeza Kovacs, Zhengxuan Wu, Michael Bernstein CSCW 2018

Referring Relationships Ranjay KrishnaRanjay Krishna, Ines Chami, Michael Bernstein, Li Fei-Fei CVPR 2018

Ink: Increasing Worker Agency to Reduce Friction in Hiring Crowd Workers Niloufar SalehiNiloufar Salehi, Michael Bernstein TOCHI 2018

In Search of the Dream Team: Temporally Constrained Multi-Armed Bandits for Identifying Effective Team Structures Sharon ZhouSharon Zhou, Melissa Valentine, Michael S. Bernstein CHI 2018Honorable Mention

Iris: A Conversational Agent for Complex Tasks Ethan FastEthan Fast, Binbin Chen, Julia Mendelsohn, Jonathan Bassen, Michael S. Bernstein CHI 2018

No Workflow Can Ever Be Enough: How Crowdsourcing Workflows Constrain Complex Work Daniela RetelnyDaniela Retelny, Melissa Valentine, Michael Bernstein CSCW 2018