Measuring Embodiment: Movement Complexity and the Impact of Personal Characteristics

A user's personal experiences and characteristics may impact the strength of an embodiment illusion and affect resulting behavioral changes in unknown ways. This paper presents a novel re-analysis of two fully-immersive embodiment user-studies (n = 189 and n = 99) using structural equation mode...

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Bibliographic Details
Published in:IEEE transactions on visualization and computer graphics Vol. 30; no. 8; pp. 4588 - 4600
Main Authors: Peck, Tabitha C., Good, Jessica J.
Format: Journal Article
Language:English
Published: United States IEEE 01.08.2024
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
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ISSN:1077-2626, 1941-0506, 1941-0506
Online Access:Get full text
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Summary:A user's personal experiences and characteristics may impact the strength of an embodiment illusion and affect resulting behavioral changes in unknown ways. This paper presents a novel re-analysis of two fully-immersive embodiment user-studies (n = 189 and n = 99) using structural equation modeling, to test the effects of personal characteristics on subjective embodiment. Results demonstrate that individual characteristics (gender, participation in science, technology, engineering or math - Experiment 1, age, video gaming experience - Experiment 2) predicted differing self-reported experiences of embodiment Results also indicate that increased self-reported embodiment predicts environmental response, in this case faster and more accurate responses within the virtual environment. Importantly, head-tracking data is shown to be an effective objective measure for predicting embodiment, without requiring researchers to utilize additional equipment.
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ISSN:1077-2626
1941-0506
1941-0506
DOI:10.1109/TVCG.2023.3270725