Personality matters: Balancing for personality types leads to better outcomes for crowd teams
Authors: Lykourentzou, Ioanna 
Antoniou, Angeliki 
Naudet, Yannick 
Dow, Steven P. 
Publisher: ACM
Issue Date: 27-Feb-2016
Conference: 19th ACM Conference on Computer-Supported Cooperative Work and Social Computing. San Francisco 
Book: Proceedings of the 19th ACM Conference on Computer-Supported Cooperative Work & Social Computing 
Keywords: Crowsourcing, Personality-based balancing, Team formation
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.
ISBN: 9781450335928
DOI: 10.1145/2818048.2819979
URI: https://uniwacris.uniwa.gr/handle/3000/853
Type: Conference Paper
Department: Department of Archival, Library and Information Studies 
School: School of Administrative, Economics and Social Sciences 
Affiliation: University of West Attica (UNIWA) 
Appears in Collections:Book Chapter / Κεφάλαιο Βιβλίου

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