Supplementary data to the paper: Obfuscation maximization-based decision-making: Theory, methodology and first empirical evidence

DOI:10.4121/13292669.v1
The DOI displayed 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: 10.4121/13292669

Datacite citation style

Chorus, Caspar; Sandorf, Erlend Dancke; van Cranenburgh, Sander (2020): Supplementary data to the paper: Obfuscation maximization-based decision-making: Theory, methodology and first empirical evidence. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/13292669.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite

Dataset

Theories of decision-making are routinely based on the notion that decision-makers choose alternatives which align with their underlying preferences – and hence that their preferences can be inferred from their choices. In some situations, however, a decision-maker may wish to hide his or her preferences from an onlooker. This dataset contains the results of an obfuscation game that was designed to explore whether decision-makers, when properly incentivized, would be able to obfuscate effectively, and which heuristics they employ to do so.

History

  • 2020-11-27 first online, published, posted

Publisher

4TU.ResearchData

Format

Excel

Funding

  • New discrete choice theory for understanding moral decision making behaviour (grant code 724431) [more info...] European Research Council

Organizations

TU Delft, Faculty of Technology, Policy and Management, Department of Engineering Systems and Services

DATA

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