人格特质的自发推理及其对网络档案记忆的影响

K. Stecher, Scott Counts
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引用次数: 28

摘要

当用户浏览在线社交空间时,他们会遇到大量的个人资料,每个资料都显示出独特的属性。用户如何理解这些信息?在我们的第一项研究中,我们提供的证据表明,用户会自发地从他们在网上遇到的个人资料中推断出人们的性格特征,对于某些个人资料,他们会优先记住这些推断出来的特征内容,而不是实际的个人资料内容。研究2使用了几个轮廓一致性的测量来评估用户轮廓的一致性如何与特征推断相互作用,从而影响对轮廓的记忆。研究结果提供了更好地理解特定的配置文件内容,使配置文件易于记忆,并在从配置文件中提取信息时利用社会认知过程。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Spontaneous Inference of Personality Traits and Effects on Memory for Online Profiles
As users navigate online social spaces, they encounter numerous personal profiles, each displaying a unique constellation of attributes. How do users make sense of this information? In our first study, we provide evidence that users spontaneously make personality trait inferences about people from profiles they encounter online, and for certain profiles, preferentially remember this inferred trait content over actual profile content. Study 2 uses several measures of profile coherence to assess how the coherence of user profiles interacts with trait inferences to influence memory for profiles. Findings provide a better understanding of specific profile content that makes profiles memorable and the social-cognitive process utilized when extracting information from profiles.
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