Decision and Experienced Utility: Computational Applications in Privacy Decision Making

Decision and Experienced Utility: Computational Applications in Privacy Decision Making

The existing computational models of privacy decisions are derived from expected utility theory, and can be equated with the von Neumann-Morgenstern (1953) perspective on decision utility. Here, I introduce experienced utility to privacy research, and shed light on the computational relations of exp...

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Veröffentlicht in:IEEE security & privacy 2017-11, Vol.15 (6), p.68-72
1. Verfasser: Farahmand, Fariborz
Format: Magazinearticle
Sprache:eng
Schlagworte:
behavioral economics
Biological system modeling
business
Computation
Computational intelligence
computers and information processing
decision analysis
Decision making
Decision theory
Discrete Fourier transforms
Economic models
Economics
Expected utility
Information processing
Mathematical model
Privacy
risk analysis
Utility theory
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Beschreibung
Zusammenfassung:The existing computational models of privacy decisions are derived from expected utility theory, and can be equated with the von Neumann-Morgenstern (1953) perspective on decision utility. Here, I introduce experienced utility to privacy research, and shed light on the computational relations of experienced utility and decision utility, and computational applications of behavioral economics theories and concepts.
ISSN:1540-7993
1558-4046
DOI:10.1109/MSP.2017.4251104