Team dating: A self-organized team formation strategy for collaborative crowdsourcing

Ioanna Lykourentzou; Robert E. Kraut; Shannon Wang; Steven P. Dow

doi:10.1145/2851581.2892421

Team dating: A self-organized team formation strategy for collaborative crowdsourcing

Ioanna Lykourentzou, Robert E. Kraut, Shannon Wang, Steven P. Dow

Human-Centered Computing

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

Abstract

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.

Original language	English
Title of host publication	CHI EA 2016
Subtitle of host publication	#chi4good - Extended Abstracts, 34th Annual CHI Conference on Human Factors in Computing Systems
Publisher	Association for Computing Machinery
Pages	1243-1249
Number of pages	7
ISBN (Electronic)	9781450340823
DOIs	https://doi.org/10.1145/2851581.2892421
Publication status	Published - 7 May 2016
Event	34th Annual CHI Conference on Human Factors in Computing Systems, CHI EA 2016 - San Jose, United States Duration: 7 May 2016 → 12 May 2016

Publication series

Name	Conference on Human Factors in Computing Systems - Proceedings
Volume	07-12-May-2016

Conference

Conference	34th Annual CHI Conference on Human Factors in Computing Systems, CHI EA 2016
Country/Territory	United States
City	San Jose
Period	7/05/16 → 12/05/16

Bibliographical note

Funding Information:
The authors acknowledge funding support from the Luxembourg National Research Fund (FNR) grant 734708 and the National Science Foundation (NSF) grants 208382 and 122206.

Publisher Copyright:
© 2016 Authors.

Funding

The authors acknowledge funding support from the Luxembourg National Research Fund (FNR) grant 734708 and the National Science Foundation (NSF) grants 208382 and 122206.

Keywords

Collaborative crowdsourcing
Self-organization
Team building

Access to Document

10.1145/2851581.2892421

Cite this

Lykourentzou, I., Kraut, R. E., Wang, S., & Dow, S. P. (2016). Team dating: A self-organized team formation strategy for collaborative crowdsourcing. In CHI EA 2016: #chi4good - Extended Abstracts, 34th Annual CHI Conference on Human Factors in Computing Systems (pp. 1243-1249). (Conference on Human Factors in Computing Systems - Proceedings; Vol. 07-12-May-2016). Association for Computing Machinery. https://doi.org/10.1145/2851581.2892421

Lykourentzou, Ioanna ; Kraut, Robert E. ; Wang, Shannon et al. / Team dating : A self-organized team formation strategy for collaborative crowdsourcing. CHI EA 2016: #chi4good - Extended Abstracts, 34th Annual CHI Conference on Human Factors in Computing Systems. Association for Computing Machinery, 2016. pp. 1243-1249 (Conference on Human Factors in Computing Systems - Proceedings).

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Lykourentzou, I, Kraut, RE, Wang, S & Dow, SP 2016, Team dating: A self-organized team formation strategy for collaborative crowdsourcing. in CHI EA 2016: #chi4good - Extended Abstracts, 34th Annual CHI Conference on Human Factors in Computing Systems. Conference on Human Factors in Computing Systems - Proceedings, vol. 07-12-May-2016, Association for Computing Machinery, pp. 1243-1249, 34th Annual CHI Conference on Human Factors in Computing Systems, CHI EA 2016, San Jose, United States, 7/05/16. https://doi.org/10.1145/2851581.2892421

Team dating: A self-organized team formation strategy for collaborative crowdsourcing. / Lykourentzou, Ioanna; Kraut, Robert E.; Wang, Shannon et al.
CHI EA 2016: #chi4good - Extended Abstracts, 34th Annual CHI Conference on Human Factors in Computing Systems. Association for Computing Machinery, 2016. p. 1243-1249 (Conference on Human Factors in Computing Systems - Proceedings; Vol. 07-12-May-2016).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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N1 - Funding Information: The authors acknowledge funding support from the Luxembourg National Research Fund (FNR) grant 734708 and the National Science Foundation (NSF) grants 208382 and 122206. Publisher Copyright: © 2016 Authors.

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Lykourentzou I, Kraut RE, Wang S, Dow SP. Team dating: A self-organized team formation strategy for collaborative crowdsourcing. In CHI EA 2016: #chi4good - Extended Abstracts, 34th Annual CHI Conference on Human Factors in Computing Systems. Association for Computing Machinery. 2016. p. 1243-1249. (Conference on Human Factors in Computing Systems - Proceedings). doi: 10.1145/2851581.2892421

Team dating: A self-organized team formation strategy for collaborative crowdsourcing

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