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: 10.4121/13292669

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

Dataset

• Other Psychology and Cognitive Sciences
• Cognitive Sciences
• Econometrics

choice behaviour, Choice between gambles; Decision making; Prospect theory; Decisions from experience; Description-experience gap Decisions under uncertainty, Obfuscation

2018

CC0

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

by Caspar Chorus , Erlend Dancke Sandorf, Sander van Cranenburgh

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.

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

4TU.ResearchData

Excel

Chorus, C., van Cranenburgh, S., Daniel, A. M., Sandorf, E. D., Sobhani, A., & Szep, T. (2020). Obfuscation maximization-based decision-making: Theory, methodology and first empirical evidence. Mathematical Social Sciences.

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

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