research-article

Personality Matters: Balancing for Personality Types Leads to Better Outcomes for Crowd Teams

Authors:

Ioanna Lykourentzou,

Angeliki Antoniou,

Yannick Naudet,

Steven P. DowAuthors Info & Claims

CSCW '16: Proceedings of the 19th ACM Conference on Computer-Supported Cooperative Work & Social Computing

Pages 260 - 273

https://doi.org/10.1145/2818048.2819979

Published: 27 February 2016 Publication History

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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Cited By

Palea DGuo ANair AAnderson RCharagulla NSu NLee D(2024)Forming Shared Interest Pods: Barriers to Self-Assembly of Interest-Based Small Groups, and Dynamics of Retaining and Giving up Control to Find Collective FitProceedings of the ACM on Human-Computer Interaction10.1145/36869848:CSCW2(1-50)Online publication date: 8-Nov-2024
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Oppenlaender JAbbas TGadiraju U(2024)The State of Pilot Study Reporting in Crowdsourcing: A Reflection on Best Practices and GuidelinesProceedings of the ACM on Human-Computer Interaction10.1145/36410238:CSCW1(1-45)Online publication date: 26-Apr-2024
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Personality Matters: Balancing for Personality Types Leads to Better Outcomes for Crowd Teams
1. Human-centered computing
  1. Collaborative and social computing
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2. Social and professional topics
  1. Professional topics
    1. Computing and business

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cover image ACM Conferences

CSCW '16: Proceedings of the 19th ACM Conference on Computer-Supported Cooperative Work & Social Computing

February 2016

1866 pages

ISBN:9781450335928

DOI:10.1145/2818048

General Chairs:
Darren Gergle
Northwestern University
,
Meredith Ringel Morris
Microsoft Research
,
Program Chairs:
Pernille Bjørn
University of Copenhagen
,
Joseph Konstan
University of Minnesota

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Published: 27 February 2016

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CSCW '16: Computer Supported Cooperative Work and Social Computing

February 27 - March 2, 2016

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CSCW '16 Paper Acceptance Rate 142 of 571 submissions, 25%;

Overall Acceptance Rate 2,235 of 8,521 submissions, 26%

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https://dl.acm.org/doi/10.1145/3686984
Oppenlaender JAbbas TGadiraju U(2024)The State of Pilot Study Reporting in Crowdsourcing: A Reflection on Best Practices and GuidelinesProceedings of the ACM on Human-Computer Interaction10.1145/36410238:CSCW1(1-45)Online publication date: 26-Apr-2024
https://dl.acm.org/doi/10.1145/3641023
Hosseinkashi YTankelevitch LPool JCutler RMadan C(2024)Meeting Effectiveness and Inclusiveness: Large-scale Measurement, Identification of Key Features, and Prediction in Real-world Remote MeetingsProceedings of the ACM on Human-Computer Interaction10.1145/36373708:CSCW1(1-39)Online publication date: 26-Apr-2024
https://dl.acm.org/doi/10.1145/3637370
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