Insights From the Nihon Housou Kyoukai’s Virtual Reality–Based Social Interaction Television Program “Project Aliens” for Adolescents With Psychiatric Disorders: Single-Center Case Series Study
Bibliographic record
Abstract
BACKGROUND: Virtual reality (VR) technology is emerging as a tool in mental health care, providing a safe space for social interaction and therapeutic engagement. A social VR-based television program broadcast on Japanese public television offers a virtual environment where adolescents with mental health challenges can engage in peer support using alien avatars, reducing barriers to communication and encouraging emotional expression. OBJECTIVE: This case series aimed to document the psychological trajectories of adolescents with psychiatric disorders participating in a social VR-based television program. METHODS: A single-center case series was conducted with 3 adolescents with psychiatric disorders (aged 15, 18, and 19 years) who participated in the social VR-based television program. The study focused on examining patient-reported outcomes (PROs), including psychological measures and qualitative experiences, and clinical observations across program participation and broadcast viewing. Psychological measures, including the Japanese versions of the 3-item Short-Form University of California, Los Angeles Loneliness Scale (UCLA-LS3-J SF-3), the 14-item Resilience Scale, short form (RS-14), and the 9-item Patient Health Questionnaire (PHQ-9), were assessed at 3 time points: baseline, prebroadcast, and postbroadcast. Qualitative analysis of participant dialogue explored themes of self-disclosure, emotional expression, and social dynamics. RESULTS: Participants showed improvements in loneliness, resilience, and depressive symptoms after participating in the social VR-based program, as indicated by psychological measures and PROs. Qualitative analysis suggested that the structured facilitation embedded in the program enabled participants to express positive and negative emotions, promoting self-reflection and mutual support. CONCLUSIONS: This case series suggests that structured social VR programs can provide a supportive platform for emotional exploration and psychological growth among adolescents with psychiatric disorders. The combination of avatar-based interaThis case series suggests that structured social VR-based programs can provide a supportive platform for emotional exploration and psychological growth among adolescents with psychiatric disorders. The combination of avatar-based interaction and therapeutic facilitation may offer a novel approach to engaging young people in mental health care, particularly during waiting periods for traditional psychiatric services.ction and therapeutic facilitation may offer a novel approach to engaging young people in mental health care, particularly during waiting periods for traditional psychiatric services.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 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".