Team Dating: A Self-Organized Team Formation Strategy for Collaborative
Crowdsourcing
Late-Breaking Works: Collaborative Technologies
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Lykourentzou, Ioanna
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Wang, Shannon
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Kraut, Robert E.
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Dow, Steven P.
Extended Abstracts of the ACM CHI'16 Conference on Human Factors in
Computing Systems
2016-05-07
v.2
p.1243-1249
© Copyright 2016 ACM
Summary: Online crowds have the potential to do more complex work in teams, rather
than as individuals. However, at such a large scale, team formation can be
difficult to coordinate. (How) can we rely on the crowd itself to organize into
effective teams? Our research explores a strategy for "team dating", a
self-organized crowd team formation approach where workers try out and rate
different candidate partners. In two online experiments, we find that team
dating affects the way that people select partners and how they evaluate them.
We use these results to draw useful conclusions for the future of team dating
and its implications for collaborative crowdsourcing.