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具身现象的主观体验网络。

The network of the subjective experience in embodiment phenomena.

机构信息

Department of History, Society and Human Studies, University of Salento, Piazza Tancredi 7, 73100, Lecce, Italy.

Department of Psychology, University of Milano - Bicocca, Piazza dell'Ateneo Nuovo 1, 20126, Milan, Italy.

出版信息

Psychol Res. 2023 Jun;87(4):1043-1056. doi: 10.1007/s00426-022-01714-7. Epub 2022 Jul 24.

Abstract

INTRODUCTION

Body illusions are designed to temporarily alter body representation by embodying fake bodies or part of them. Despite their large use, the embodiment questionnaires have been validated only for the embodiment of fake hands in the rubber hand illusion (RHI).

METHODS

With the current study, we aimed at (1) extending the validation of embodiment questionnaires to a different illusory situation e.g., the full-body illusion (FBI); (2) comparing two methods to explore the questionnaires structures: a classic exploratory factor analysis (EFA) and a modern exploratory graph analysis (EGA). 118 healthy participants completed an FBI procedure where the subjective experience of embodiment was measured with a standard questionnaire.

RESULTS

The EFA results in two-factor structures. However, the confirmatory factor analysis (CFA) fit indices do not show a good fit with the data. Conversely, the EGA identified four communities: ownership, agency, co-location and disembodiment; the solution was confirmed by a CFA.

CONLCUSIONS

Overall, the EGA seems to be the best fitting method for the present data. Our results confirm the EGA as a suitable substitute for a more classical EFA. Moreover, the emerged structure suggests that the FBI induces similar effects to the RHI, implying that the embodiment sensations are common to different illusory methods.

摘要

简介

身体错觉旨在通过体现假身体或其部分来暂时改变身体表象。尽管它们被广泛使用,但体现问卷仅在橡胶手错觉(RHI)中对假手的体现进行了验证。

方法

在本研究中,我们旨在(1)将体现问卷的验证扩展到不同的错觉情况,例如全身错觉(FBI);(2)比较两种方法来探索问卷结构:经典探索性因素分析(EFA)和现代探索性图形分析(EGA)。118 名健康参与者完成了 FBI 程序,其中使用标准问卷测量了体现的主观体验。

结果

EFA 结果为两因素结构。然而,验证性因素分析(CFA)拟合指数并不表示与数据具有良好的拟合度。相反,EGA 确定了四个社区:所有权、代理、共定位和去体现;该解决方案通过 CFA 得到确认。

结论

总体而言,EGA 似乎是最适合本研究数据的方法。我们的结果证实了 EGA 作为更经典 EFA 的合适替代品。此外,出现的结构表明,FBI 引起与 RHI 相似的效果,这意味着不同的错觉方法都存在类似的体现感觉。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1d7f/10191983/c7bdb55cc62d/426_2022_1714_Fig1_HTML.jpg

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