Matching or crashing? personality-based team formation in crowdsourcing environments
Authors: Lykourentzou, Ioanna 
Antoniou, Angeliki 
Naudet, Yannick 
Issue Date: 1-Jan-2015
Journal: arXiv 
Keywords: Human-Computer Interaction, Computers and Society, Social and Information Networks
Abstract: 
"Does placing workers together based on their personality give better performance results in cooperative crowdsourcing settings, compared to non-personality based crowd team formation?" In this work we examine the impact of personality compatibility on the effectiveness of crowdsourced team work. Using a personality-based group dynamics approach, we examine two main types of personality combinations (matching and crashing) on two main types of tasks (collaborative and competitive). Our experimental results show that personality compatibility significantly affects the quality of the team's final outcome, the quality of interactions and the emotions experienced by the team members. The present study is the first to examine the effect of personality over team result in crowdsourcing settings, and it has practical implications for the better design of crowdsourced team work.
URI: https://uniwacris.uniwa.gr/handle/3000/897
Type: Article
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:Articles / Άρθρα

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