'I Call Upon a Friend': Virtual Reality-Based Supports for Cognitive Reappraisal Identified through Co-designing with Adolescents
Bibliographic record
Abstract
Virtual reality (VR) offers great promise to expand delivery models for therapeutic interventions to help adolescents develop adaptive emotion regulation skills. Cognitive reappraisal (CR) is an emotion regulation skill that involves changing your thinking to improve your emotional state. However, adolescents face developmental and implementation barriers to do CR successfully. To better understand adolescents’ (15-18 years) lived experience of CR challenges and how they envision VR could support their skills learning and transfer to everyday life, we ran three co-design workshops (N=69). Our research weaves together the workshop findings with prior literature to identify directions for future VR-based CR interventions. From our study results, we generated design strategies leveraging best practices of existing research: embedded and embodied scaffolds, providing different points of view, and externalizing the inner self. To illustrate these strategies in practice, we show how each would work in a challenging emotional scenario identified by adolescents.
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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 | 0.001 |
| Open science | 0.000 | 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".