Description

Online crowds have the potential to do more complex work in teams, rather than as individuals. Team formation algorithms typically maximize some notion of global utility of team output by allocating people to teams or tasks. However, decisions made by these algorithms do not consider the decisions or preferences of the people themselves. This paper explores a complementary strategy, which relies on the crowd itself to self-organize into effective teams. Our preliminary results show that users perceive the ability to choose their teammate extremely useful in a crowdsourcing setting. We also find that self-organisation makes users feel more productive, creative and responsible for their work product.

Date of creation, presentation, or exhibit

Winter 1-23-2020

Comments

The final publication is available at link.springer.com via https://doi.org/10.1007/978-3-030-39634-3_15

Document Type

Conference Paper

Department, Program, or Center

School of Interactive Games and Media (GCCIS)

Campus

RIT – Main Campus

Available for download on Saturday, January 23, 2021

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