Contribution of Virtual Reality to the Reproduction of Social Interaction Characteristics in Neuropsychology: A Systematic Review of the Literature
Bibliographic record
Abstract
Abstract Sociocognitive difficulties are observed in many pathologies associated with brain lesions or atypical brain functioning. The development of virtual reality offers an opportunity to assess this dimension from an interactionist perspective and to increase the ecological validity of the material used. However, this approach can be operationalized and conceptualized in a variety of ways. To understand these aspects, we conducted a systematic review of articles found in the PubMed, PubMed Central, and ScienceDirect databases, following PRISMA-P guidelines. A corpus of 48 articles was identified and analyzed in terms of the experimental devices used, to gauge the extent to which they reproduced the characteristics of real-world social interactions, as well as the associated conceptions. Results suggested that interactionist research lies on a continuum between ecological validity (studies exploring interactions via general functions) and a high level of experimental control (exploration of interactions with respect to specific processes). They are discussed in terms of the operationalization and objectification of interactionism.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.006 | 0.025 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.003 |
| Bibliometrics | 0.015 | 0.013 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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 source (direct Gemma or distilled Codex), 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".