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
Department, Program, or Center
School of Interactive Games and Media (GCCIS)
Lykourentzou I., Liapis A., Papastathis C., Papangelis K., Vassilakis C. (2020) Exploring Self-organisation in Crowd Teams. In: Pappas I., Mikalef P., Dwivedi Y., Jaccheri L., Krogstie J., Mäntymäki M. (eds) Digital Transformation for a Sustainable Society in the 21st Century. I3E 2019. IFIP Advances in Information and Communication Technology, vol 573. Springer, Cham
RIT – Main Campus
The final publication is available at link.springer.com via https://doi.org/10.1007/978-3-030-39634-3_15