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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| Published in: | IEEE transactions on visualization and computer graphics Vol. 30; no. 8; pp. 4588 - 4600 |
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| Main Authors: | , |
| Format: | Journal Article |
| Language: | English |
| Published: |
United States
IEEE
01.08.2024
The Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subjects: | |
| 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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| Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 content type line 23 |
| ISSN: | 1077-2626 1941-0506 1941-0506 |
| DOI: | 10.1109/TVCG.2023.3270725 |