Personality matters: Balancing for personality types leads to better outcomes for crowd teams

Ioanna Lykourentzou; Angeliki Antoniou; Yannick Naudet; Steven P. Dow

doi:10.1145/2818048.2819979

Personality matters: Balancing for personality types leads to better outcomes for crowd teams

Ioanna Lykourentzou, Angeliki Antoniou, Yannick Naudet, Steven P. Dow

Human-Centered Computing

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

Abstract

When personalities clash, teams operate less effectively. Personality differences affect face-to-face collaboration and may lower trust in virtual teams. For relatively short-lived assignments, like those of online crowdsourcing, personality matching could provide a simple, scalable strategy for effective team formation. However, it is not clear how (or if) personality differences affect teamwork in this novel context where the workforce is more transient and diverse. This study examines how personality compatibility in crowd teams affects performance and individual perceptions. Using the DISC personality test, we composed 14 five-person teams (N=70) with either a harmonious coverage of personalities (balanced) or a surplus of leader-type personalities (imbalanced). Results show that balancing for personality leads to significantly better performance on a collaborative task. Balanced teams exhibited less conflict and their members reported higher levels of satisfaction and acceptance. This work demonstrates a simple personality matching strategy for forming more effective teams in crowdsourcing contexts.

Original language	English
Title of host publication	Proceedings of the 19th ACM Conference on Computer-Supported Cooperative Work and Social Computing, CSCW 2016
Publisher	Association for Computing Machinery
Pages	260-273
Number of pages	14
ISBN (Electronic)	9781450335928
DOIs	https://doi.org/10.1145/2818048.2819979
Publication status	Published - 27 Feb 2016
Event	19th ACM Conference on Computer-Supported Cooperative Work and Social Computing, CSCW 2016 - San Francisco, United States Duration: 27 Feb 2016 → 2 Mar 2016

Publication series

Name	Proceedings of the ACM Conference on Computer Supported Cooperative Work, CSCW
Volume	27

Conference

Conference	19th ACM Conference on Computer-Supported Cooperative Work and Social Computing, CSCW 2016
Country/Territory	United States
City	San Francisco
Period	27/02/16 → 2/03/16

Bibliographical note

Funding Information:
The authors recognize funding support from the Luxembourg National Research Fund (FNR) under INTER Mobility grant 8734708, and the National Science Foundation under IIS grants 1208382 and 1122206.

Publisher Copyright:
© 2016 ACM.

Funding

The authors recognize funding support from the Luxembourg National Research Fund (FNR) under INTER Mobility grant 8734708, and the National Science Foundation under IIS grants 1208382 and 1122206.

Keywords

Crowsourcing
Personality-based balancing
Team formation

Access to Document

10.1145/2818048.2819979

Cite this

Lykourentzou, I., Antoniou, A., Naudet, Y., & Dow, S. P. (2016). Personality matters: Balancing for personality types leads to better outcomes for crowd teams. In Proceedings of the 19th ACM Conference on Computer-Supported Cooperative Work and Social Computing, CSCW 2016 (pp. 260-273). (Proceedings of the ACM Conference on Computer Supported Cooperative Work, CSCW; Vol. 27). Association for Computing Machinery. https://doi.org/10.1145/2818048.2819979

Lykourentzou, Ioanna ; Antoniou, Angeliki ; Naudet, Yannick et al. / Personality matters : Balancing for personality types leads to better outcomes for crowd teams. Proceedings of the 19th ACM Conference on Computer-Supported Cooperative Work and Social Computing, CSCW 2016. Association for Computing Machinery, 2016. pp. 260-273 (Proceedings of the ACM Conference on Computer Supported Cooperative Work, CSCW).

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abstract = "When personalities clash, teams operate less effectively. Personality differences affect face-to-face collaboration and may lower trust in virtual teams. For relatively short-lived assignments, like those of online crowdsourcing, personality matching could provide a simple, scalable strategy for effective team formation. However, it is not clear how (or if) personality differences affect teamwork in this novel context where the workforce is more transient and diverse. This study examines how personality compatibility in crowd teams affects performance and individual perceptions. Using the DISC personality test, we composed 14 five-person teams (N=70) with either a harmonious coverage of personalities (balanced) or a surplus of leader-type personalities (imbalanced). Results show that balancing for personality leads to significantly better performance on a collaborative task. Balanced teams exhibited less conflict and their members reported higher levels of satisfaction and acceptance. This work demonstrates a simple personality matching strategy for forming more effective teams in crowdsourcing contexts.",

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Lykourentzou, I, Antoniou, A, Naudet, Y & Dow, SP 2016, Personality matters: Balancing for personality types leads to better outcomes for crowd teams. in Proceedings of the 19th ACM Conference on Computer-Supported Cooperative Work and Social Computing, CSCW 2016. Proceedings of the ACM Conference on Computer Supported Cooperative Work, CSCW, vol. 27, Association for Computing Machinery, pp. 260-273, 19th ACM Conference on Computer-Supported Cooperative Work and Social Computing, CSCW 2016, San Francisco, United States, 27/02/16. https://doi.org/10.1145/2818048.2819979

Personality matters: Balancing for personality types leads to better outcomes for crowd teams. / Lykourentzou, Ioanna; Antoniou, Angeliki; Naudet, Yannick et al.
Proceedings of the 19th ACM Conference on Computer-Supported Cooperative Work and Social Computing, CSCW 2016. Association for Computing Machinery, 2016. p. 260-273 (Proceedings of the ACM Conference on Computer Supported Cooperative Work, CSCW; Vol. 27).

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

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AU - Dow, Steven P.

N1 - Funding Information: The authors recognize funding support from the Luxembourg National Research Fund (FNR) under INTER Mobility grant 8734708, and the National Science Foundation under IIS grants 1208382 and 1122206. Publisher Copyright: © 2016 ACM.

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Lykourentzou I, Antoniou A, Naudet Y, Dow SP. Personality matters: Balancing for personality types leads to better outcomes for crowd teams. In Proceedings of the 19th ACM Conference on Computer-Supported Cooperative Work and Social Computing, CSCW 2016. Association for Computing Machinery. 2016. p. 260-273. (Proceedings of the ACM Conference on Computer Supported Cooperative Work, CSCW). doi: 10.1145/2818048.2819979

Personality matters: Balancing for personality types leads to better outcomes for crowd teams

Abstract

Publication series

Conference

Bibliographical note

Funding

Keywords

Access to Document

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