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Self-disclosure decision making based on intimacy and privacy

Such, Jose M. and Espinosa, Agustin and Garcia-Fornes, Ana and Sierra, Caries (2012) Self-disclosure decision making based on intimacy and privacy. Information Sciences, 211. pp. 93-111. ISSN 0020-0255

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    Abstract

    Autonomous agents may encapsulate their principals' personal data attributes. These attributes may be disclosed to other agents during agent interactions, producing a loss of privacy. Thus, agents need self-disclosure decision-making mechanisms to autonomously decide whether disclosing personal data attributes to other agents is acceptable or not. Current self-disclosure decision-making mechanisms consider the direct benefit and the privacy loss of disclosing an attribute. However, there are many situations in which the direct benefit of disclosing an attribute is a priori unknown. This is the case in human relationships, where the disclosure of personal data attributes plays a crucial role in their development. In this paper, we present self-disclosure decision-making mechanisms based on psychological findings regarding how humans disclose personal information in the building of their relationships. We experimentally demonstrate that, in most situations, agents following these decision-making mechanisms lose less privacy than agents that do not use them. (C) 2012 Elsevier Inc. All rights reserved.

    Item Type: Article
    Journal or Publication Title: Information Sciences
    Additional Information: NOTICE: this is the author's version of a work that was accepted for publication in Information Sciences. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published: Jose M. Such, Agustin Espinosa, Ana Garcia-Fornes and Carles Sierra. Self-disclosure Decision Making based on Intimacy and Privacy. Information Sciences, Vol. 211 pp. 93-111 (2012). © ELSEVIER.
    Uncontrolled Keywords: Multi-agent systems ; Privacy ; Intimacy ; Information theory
    Subjects: UNSPECIFIED
    Departments: UNSPECIFIED
    ID Code: 60416
    Deposited By: ep_importer_pure
    Deposited On: 04 Dec 2012 09:25
    Refereed?: Yes
    Published?: Published
    Last Modified: 23 Jul 2014 15:07
    Identification Number:
    URI: http://eprints.lancs.ac.uk/id/eprint/60416

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