  "Does placing workers together based on their personality give better
performance results in cooperative crowdsourcing settings, compared to
non-personality based crowd team formation?" In this work we examine the impact
of personality compatibility on the effectiveness of crowdsourced team work.
Using a personality-based group dynamics approach, we examine two main types of
personality combinations (matching and crashing) on two main types of tasks
(collaborative and competitive). Our experimental results show that personality
compatibility significantly affects the quality of the team's final outcome,
the quality of interactions and the emotions experienced by the team members.
The present study is the first to examine the effect of personality over team
result in crowdsourcing settings, and it has practical implications for the
better design of crowdsourced team work.

Human-Computer Interaction;Computers and Society;Social and Information Networks