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The network of the subjective experience in embodiment phenomena
Psychological Research ( IF 2.424 ) Pub Date : 2022-07-24 , DOI: 10.1007/s00426-022-01714-7
Giorgia Tosi 1, 2 , Daniele Romano 1, 2
Affiliation  

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.



中文翻译:

具身现象中主观体验的网络

介绍

身体错觉旨在通过体现假身体或其中的一部分来暂时改变身体表现。尽管它们被广泛使用,但实施问卷仅针对橡胶手错觉 (RHI) 中假手的实施进行了验证。

方法

通过当前的研究,我们的目标是(1)将具身问卷的验证扩展到不同的幻觉情况,例如全身幻觉(FBI);(2) 比较两种探索问卷结构的方法:经典的探索性因素分析(EFA)和现代探索性图分析(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主观体验。

结果

EFA 导致双因素结构。然而,验证性因素分析 (CFA) 拟合指数并未显示与数据的良好拟合。相反,EGA 确定了四个社区:所有权、代理、协同定位和分离;该解决方案由 CFA 确认。

结论

总体而言,EGA 似乎是当前数据的最佳拟合方法。我们的结果证实 EGA 是更经典的 EFA 的合适替代品。此外,出现的结构表明 FBI 会产生与 RHI 相似的效果,这意味着具身感觉对于不同的幻觉方法是共同的。

更新日期:2022-07-25
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