Expert Crowdsourcing with Flash Teams

Daniela Retelny, Sebastien Robaszkiewicz, Alexandra To, Walter Lasecki, Jay Patel, Negar Rahmati, Tulsee Doshi, Melissa Valentine, Michael Bernstein
UIST: ACM Symposium on User Interface Software and Technology, 2014
We introduce flash teams, a framework for dynamically assembling and managing paid experts from the crowd. Flash teams advance a vision of expert crowd work that accomplishes complex, interdependent goals such as engineering and design. These teams consist of sequences of linked modular tasks and handoffs that can be computationally managed. Interactive systems reason about and manipulate these teams' structures: for example, flash teams can be recombined to form larger organizations and authored automatically in response to a user's request. Flash teams can also hire more people elastically in reaction to task needs, and pipeline intermediate output to accelerate completion times. To enable flash teams, we present Foundry, an end-user authoring platform and runtime manager. Foundry allows users to author modular tasks, then manages teams through handoffs of intermediate work. We demonstrate that Foundry and flash teams enable crowdsourcing of a broad class of goals including design prototyping, course development, and film animation, in half the work time of traditional self-managed teams.

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This project is known for: crowdsourcing