Taming system analysis in serious game design: a methodology combining actor analysis and cognitive mapping - supplementary materials

doi:10.4121/39a1615c-2b06-49c7-9828-ffda7830cbf3.v1
The doi above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
doi: 10.4121/39a1615c-2b06-49c7-9828-ffda7830cbf3
Datacite citation style:
Mittal, Aashna; Bekebrede, Geertje; Kapelan, Zoran ; Scholten, Lisa (2024): Taming system analysis in serious game design: a methodology combining actor analysis and cognitive mapping - supplementary materials. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/39a1615c-2b06-49c7-9828-ffda7830cbf3.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
Dataset

The dataset supplements an upcoming paper on using actor analysis and cognitive mapping to conduct the initial phases of serious game design where real-world problem information is captured and structured into conceptual maps. Semi-structured interviews were used as part of the methodology to capture stakeholder perspectives, which were then analysed and developed into cognitive maps. The dataset presents the details of the actor analysis, interview protocol and consent forms used, cognitive maps of actors, and the results of analysis done the cognitive maps.

history
  • 2024-12-10 first online, published, posted
publisher
4TU.ResearchData
format
doc
organizations
TU Delft, Faculty of Civil Engineering and Geosciences, Department of Water Management
TU Delft, Faculty of Technology, Policy and Management, Department of Multi-Actor Systems

DATA

files (1)