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Self-disclosure decision making based on intimacy and privacy

机译:基于亲密和隐私的自我披露决策

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摘要

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.
机译:自治代理可以封装其委托人的个人数据属性。这些属性可能会在代理交互期间向其他代理公开,从而导致隐私损失。因此,代理需要自我披露决策机制来自主决定向其他代理公开个人数据属性是否可接受。当前的自我披露决策机制考虑了公开属性的直接利益和隐私损失。但是,在许多情况下,公开属性的直接好处是先验未知的。在人际关系中就是这种情况,其中个人数据属性的披露在其发展中起着至关重要的作用。在本文中,我们基于关于人类如何在建立人际关系中披露个人信息的心理发现,提出了自我披露决策机制。我们通过实验证明,在大多数情况下,遵循这些决策机制的代理所失去的隐私要比不使用它们的代理少。

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