M
Michael S. Bernstein
Researcher at Stanford University
Publications - 207
Citations - 59397
Michael S. Bernstein is an academic researcher from Stanford University. The author has contributed to research in topics: Crowdsourcing & Computer science. The author has an hindex of 52, co-authored 191 publications receiving 42744 citations. Previous affiliations of Michael S. Bernstein include Association for Computing Machinery & Massachusetts Institute of Technology.
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Proceedings ArticleDOI
Scalable multi-label annotation
TL;DR: An algorithm that exploits correlation, hierarchy, and sparsity of the label distribution is proposed that results in up to 6x reduction in human computation time compared to the naive method of querying a human annotator for the presence of every object in every image.
Proceedings ArticleDOI
Designing and deploying online field experiments
TL;DR: The PlanOut tool as discussed by the authors separates experimental design from application code, allowing the experimenter to concisely describe experimental designs, whether common "A/B tests" and factorial designs, or more complex designs involving conditional logic or multiple experimental units.
Posted Content
Designing and Deploying Online Field Experiments
TL;DR: A language for online field experiments called PlanOut separates experimental design from application code, allowing the experimenter to concisely describe experimental designs, whether common "A/B tests" and factorial designs, or more complex designs involving conditional logic or multiple experimental units.
Proceedings ArticleDOI
Flash Organizations: Crowdsourcing Complex Work by Structuring Crowds As Organizations
Melissa Valentine,Daniela Retelny,Alexandra To,Negar Rahmati,Tulsee S. Doshi,Michael S. Bernstein +5 more
TL;DR: A deployment is reported in which flash organizations successfully carried out open-ended and complex goals previously out of reach for crowdsourcing, including product design, software development, and game production.
Journal ArticleDOI
Information scraps: How and why information eludes our personal information management tools
TL;DR: Roles in the typical information scrap lifecycle are identified, and a set of unmet design needs in current PIM tools are suggested: lightweight entry, unconstrained content, flexible use and adaptability, visibility, and mobility.