Self-disclosure decision making based on intimacy and privacy
- Publication Type:
- Journal Article
- Citation:
- Information Sciences, 2012, 211 pp. 93 - 111
- Issue Date:
- 2012-11-30
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| Filename | Description | Size | |||
|---|---|---|---|---|---|
| 1-s2.0-S0020025512003301-main.pdf | Published Version | 707.96 kB |
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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. © 2012 Elsevier Inc. All rights reserved.
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