A dataset of human decision-making in teamwork management
| Autor: | Qiang Yang, Jun Lin, Zhiqi Shen, Chunyan Miao, Simon Fauvel, Zhengxiang Pan, Cyril Leung, Yiqiang Chen, Han Yu, Lizhen Cui |
|---|---|
| Přispěvatelé: | School of Computer Science and Engineering, NTU-UBC Research Centre of Excellence in Active Living for the Elderly |
| Jazyk: | angličtina |
| Rok vydání: | 2017 |
| Předmět: |
0301 basic medicine
Statistics and Probability Decision support system Data Descriptor Knowledge management Computer science media_common.quotation_subject Decision Making Library and Information Sciences Bridge (nautical) Personnel Management Task (project management) Education 03 medical and health sciences 0302 clinical medicine Humans Human decision Baseline (configuration management) media_common Engineering::Computer science and engineering [DRNTU] Teamwork business.industry Work engagement Computational science Work Engagement Computer Science Applications 030104 developmental biology Human resource management Statistics Probability and Uncertainty business 030217 neurology & neurosurgery Information Systems |
| Zdroj: | Scientific Data |
| ISSN: | 2052-4463 |
| Popis: | Today, most endeavours require teamwork by people with diverse skills and characteristics. In managing teamwork, decisions are often made under uncertainty and resource constraints. The strategies and the effectiveness of the strategies different people adopt to manage teamwork under different situations have not yet been fully explored, partially due to a lack of detailed large-scale data. In this paper, we describe a multi-faceted large-scale dataset to bridge this gap. It is derived from a game simulating complex project management processes. It presents the participants with different conditions in terms of team members’ capabilities and task characteristics for them to exhibit their decision-making strategies. The dataset contains detailed data reflecting the decision situations, decision strategies, decision outcomes, and the emotional responses of 1,144 participants from diverse backgrounds. To our knowledge, this is the first dataset simultaneously covering these four facets of decision-making. With repeated measurements, the dataset may help establish baseline variability of decision-making in teamwork management, leading to more realistic decision theoretic models and more effective decision support approaches. NRF (Natl Research Foundation, S’pore) Published version |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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