A dataset of human decision-making in teamwork management
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 situa...
| Main Authors: | , , , , , , , , , |
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| Format: | Journal Article |
| Language: | English |
| Published: |
2018
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10356/88396 http://hdl.handle.net/10220/45720 |
| _version_ | 1811693737129017344 |
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| author | Yu, Han Shen, Zhiqi Miao, Chunyan Leung, Cyril Chen, Yiqiang Fauvel, Simon Lin, Jun Cui, Lizhen Pan, Zhengxiang Yang, Qiang |
| author2 | School of Computer Science and Engineering |
| author_facet | School of Computer Science and Engineering Yu, Han Shen, Zhiqi Miao, Chunyan Leung, Cyril Chen, Yiqiang Fauvel, Simon Lin, Jun Cui, Lizhen Pan, Zhengxiang Yang, Qiang |
| author_sort | Yu, Han |
| collection | NTU |
| description | 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. |
| first_indexed | 2024-10-01T06:56:26Z |
| format | Journal Article |
| id | ntu-10356/88396 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T06:56:26Z |
| publishDate | 2018 |
| record_format | dspace |
| spelling | ntu-10356/883962020-03-07T11:48:59Z A dataset of human decision-making in teamwork management Yu, Han Shen, Zhiqi Miao, Chunyan Leung, Cyril Chen, Yiqiang Fauvel, Simon Lin, Jun Cui, Lizhen Pan, Zhengxiang Yang, Qiang School of Computer Science and Engineering NTU-UBC Research Centre of Excellence in Active Living for the Elderly DRNTU::Engineering::Computer science and engineering Decision Making Personnel Management 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 2018-08-29T06:04:23Z 2019-12-06T17:02:22Z 2018-08-29T06:04:23Z 2019-12-06T17:02:22Z 2017 Journal Article Yu, H., Shen, Z., Miao, C., Leung, C., Chen, Y., Fauvel, S., ...Yang, Q. (2017). A dataset of human decision-making in teamwork management. Scientific data, 4, 160127-. doi: 10.1038/sdata.2016.127 https://hdl.handle.net/10356/88396 http://hdl.handle.net/10220/45720 10.1038/sdata.2016.127 en Scientific Data © 2017 The Author(s). This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0 12 p. application/pdf |
| spellingShingle | DRNTU::Engineering::Computer science and engineering Decision Making Personnel Management Yu, Han Shen, Zhiqi Miao, Chunyan Leung, Cyril Chen, Yiqiang Fauvel, Simon Lin, Jun Cui, Lizhen Pan, Zhengxiang Yang, Qiang A dataset of human decision-making in teamwork management |
| title | A dataset of human decision-making in teamwork management |
| title_full | A dataset of human decision-making in teamwork management |
| title_fullStr | A dataset of human decision-making in teamwork management |
| title_full_unstemmed | A dataset of human decision-making in teamwork management |
| title_short | A dataset of human decision-making in teamwork management |
| title_sort | dataset of human decision making in teamwork management |
| topic | DRNTU::Engineering::Computer science and engineering Decision Making Personnel Management |
| url | https://hdl.handle.net/10356/88396 http://hdl.handle.net/10220/45720 |
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