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The Cognitive Heuristics Behind Disclosure Decisions

机译：披露决策背后的认知启发法

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Despite regulatory efforts to protect personal data online, users knowingly consent to disclose more personal data than they intend, and they are also prone to disclose more than they know. We consider that a reliance on cognitive heuristics is key to explaining these aspects of users' disclosure decisions. Also, that the cues underpinning these heuristics can be exploited by organisations seeking to extract more data than is required. Through the lens of an existing credibility heuristic framework, we qualitatively analyse 23, one-to-one, semi-structured interviews. We identify six super-ordinate classes of heuristics that users rely upon during disclosures: PROMINENCE, NETWORK, RELIABILITY, ACCORDANCE, NARRATIVE, MODALITY, and a seventh non-heuristics TRADE class. Our results suggest that regulatory efforts seeking to increase the autonomy of the informed user are inapt. Instead the key to supporting users during disclosure decisions could be to positively nudge users through the cues underpinning these simple heuristics.
机译：尽管监管部门采取了在线保护个人数据的措施，但用户有意同意披露比其预期更多的个人数据，而且他们也倾向于披露比其所知更多的信息。我们认为，依赖认知启发法是解释用户披露决定的这些方面的关键。同样，寻求这些启发式方法的线索可以被寻求提取比所需更多数据的组织利用。通过现有的信誉启发式框架，我们定性分析了23个一对一的半结构化访谈。我们确定了用户在披露期间所依赖的启发式方法的六个上级类别：突出，网络，可靠性，一致性，叙述性，模态性和第七个非启发式交易类。我们的结果表明，试图增加知情用户自治的监管努力是不恰当的。相反，在公开决策期间支持用户的关键可能是通过支撑这些简单启发式方法的线索来积极推动用户。

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