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How Personality and Communication Patterns Affect Online ad-hoc Teams Under Pressure.
- Source :
-
Frontiers in artificial intelligence [Front Artif Intell] 2022 May 27; Vol. 5, pp. 818491. Date of Electronic Publication: 2022 May 27 (Print Publication: 2022). - Publication Year :
- 2022
-
Abstract
- Critical, time-bounded, and high-stress tasks, like incident response, have often been solved by teams that are cohesive, adaptable, and prepared. Although a fair share of the literature has explored the effect of personality on various other types of teams and tasks, little is known about how it contributes to teamwork when teams of strangers have to cooperate ad-hoc , fast, and efficiently. This study explores the dynamics between 120 crowd participants paired into 60 virtual dyads and their collaboration outcome during the execution of a high-pressure, time-bound task. Results show that the personality trait of Openness to experience may impact team performance with teams with higher minimum levels of Openness more likely to defuse the bomb on time. An analysis of communication patterns suggests that winners made more use of action and response statements. The team role was linked to the individual's preference of certain communication patterns and related to their perception of the collaboration quality. Highly agreeable individuals seemed to cope better with losing, and individuals in teams heterogeneous in Conscientiousness seemed to feel better about collaboration quality. Our results also suggest there may be some impact of gender on performance. As this study was exploratory in nature, follow-on studies are needed to confirm these results. We discuss how these findings can help the development of AI systems to aid the formation and support of crowdsourced remote emergency teams.<br />Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.<br /> (Copyright © 2022 Vinella, Odo, Lykourentzou and Masthoff.)
Details
- Language :
- English
- ISSN :
- 2624-8212
- Volume :
- 5
- Database :
- MEDLINE
- Journal :
- Frontiers in artificial intelligence
- Publication Type :
- Academic Journal
- Accession number :
- 35692939
- Full Text :
- https://doi.org/10.3389/frai.2022.818491