外向与内向
身份(音乐)
提交
心理学
一致性(知识库)
社会心理学
预测能力
人格
计算机科学
五大性格特征
人工智能
哲学
物理
认识论
数据库
声学
作者
Jorge Peña,Dillon Hill
出处
期刊:Cyberpsychology, Behavior, and Social Networking
[Mary Ann Liebert, Inc.]
日期:2020-07-01
卷期号:23 (10): 697-701
被引量:8
标识
DOI:10.1089/cyber.2020.0010
摘要
Identity shift describes how individuals commit to self-presentations made in public computer-mediated contexts. This study attempts to expand identity shift effects to virtual reality. Participants were randomly assigned to present themselves as extraverted or introverted in pilot tested public or private virtual environments. The hypotheses and data analysis strategy were preregistered, and the study had sufficient a priori statistical power. The results did not support identity shift effects. Baseline extraversion predicted postmanipulation extraversion scores, thus suggesting identity stability. The discussion focuses on the empirical consistency of the identity shift effect and avenues for future research.
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