Collective Embodiment, or the Social Nature of the Sense of Embodiment in Social VR
Bibliographic record
Abstract
In Social Virtual Reality (SVR), mediated social communication blends with simulated virtual environments and bodies.However, little is known about how these social and physical (or embodied) affordances intersect in user experiences.We bridge this research gap by applying phenomenological analysis to SVR user interviews to reveal embodiment in SVR based on their lived experiences.We contribute empirical evidence to the concept of "collective embodiment, " described as a mutually maintained feeling of embodiment that SVR provides beyond individual experiences and avatar-related sensations.This involves intertwined senses of agency, location, and appearance influenced by the presence and actions of others in the virtual environment.We also observed SVR users' difficulties controlling avatar visual representations and communication or social functions.This research uncovers the multifaceted nature of collective embodiment in SVR, offering insights into its social dynamics, design, and user experience implications.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".