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Type Indeterminacy in Privacy Decisions: The Privacy Paradox Revisited

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Quantum Interaction (QI 2012)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 7620))

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Abstract

The paper at hand aims to provide a rational explanation of why people generously give away personal data while at the same time being highly concerned about their privacy. For many years, research has come up with attempts to untangle the privacy paradox. We provide a thorough literature review on privacy decisions in socio-economic scenarios and identify explanatory gaps. To explain paradoxical behavior in privacy decision making we illuminate (1) generous data disclosure and (2) high valuation of privacy as two non-commuting observations of incompatible preferences (types). Abstract risk awareness of privacy threats and concrete privacy decisions are not interchangeable, i.e. disclosing personal data prior to becoming aware of privacy risks does not equal the raising of risk awareness before revealing personal information. Privacy decisions do not commute as subjects may alter their preferences indeterminately, i.e. at the time an actual decision is made, in response to discomfort arising from conflicting preferences.

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Author information

Authors and Affiliations

  1. Institute of Computer Science and Social Studies, University of Freiburg, Freiburg, Germany

    Christian Flender & Günter Müller

Authors
  1. Christian Flender
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  2. Günter Müller
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Editor information

Editors and Affiliations

  1. Indiana University, 47405, Bloomington, IN, USA

    Jerome R. Busemeyer

  2. Conservatoire National des Arts et M’etiers, 75003, Paris, France

    François Dubois

  3. Paris School of Economics, 75014, Paris, France

    Ariane Lambert-Mogiliansky

  4. University of Padua, 35131, Padua, Italy

    Massimo Melucci

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Flender, C., Müller, G. (2012). Type Indeterminacy in Privacy Decisions: The Privacy Paradox Revisited. In: Busemeyer, J.R., Dubois, F., Lambert-Mogiliansky, A., Melucci, M. (eds) Quantum Interaction. QI 2012. Lecture Notes in Computer Science, vol 7620. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35659-9_14

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  • DOI: https://doi.org/10.1007/978-3-642-35659-9_14

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-35658-2

  • Online ISBN: 978-3-642-35659-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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