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/d667dde4-ac0a-43f0-868a-8ef3aedfbdc1

Erdbrink, Annebeth; Verbraeck, Alexander; Kortmann, Rens (2024): Case study The Human Firewall - dataset. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/d667dde4-ac0a-43f0-868a-8ef3aedfbdc1.v1

Dataset

• Education and Training Systems
• Media Services
• Education and Training
• Information and Communication Services

cybersecurity, persuasive games, sustainable society

2021-2022

CC BY-NC-SA 4.0

RefWorks, BibTeX, Reference Manager, Endnote, DataCite, NLM, DC, CFF

by Annebeth Erdbrink , Alexander Verbraeck , Rens Kortmann

The case study with the game The Human Firewall was conducted as part of the GAMPSISS project, funded by The Dutch Research Council (NWO).

For the study, three surveys were designed and analyzed (one pre-game and two post-game surveys).

The first two surveys were used to compare participants’ pre- and post-game scores to explore significant differences regarding participants’ knowledge, attitude, subjective norm, perceived control, responsibility, and behavior concerning secure information handling. The third survey again measured participants’ behavior and was limited to a few essential concrete behaviors in the workplace.

The survey results are used for the dissertation Game Design for a Sustainable Society (Delft University of Technology).

The dataset contains:

• Survey items of the three surveys as they have been entered into Qualtrics (TM) [PDF]
• Raw answers to the survey items, pre-and post-game measurements (fully anonymized) [CSV]
•  readme.txt file with this content

 

• 2024-07-31 first online, published, posted

4TU.ResearchData

PDF files with surveys; CSV files with raw anonymized data

nl

• Gameful Music Performances for Smart, Inclusive, and Sustainable Societies (GAMPSISS) (grant code 314-99-201) [more info...] The Dutch Research Council

TU Delft, Faculty of Technology, Policy and Management, Department of Multi-Actor Systems