A role-play assessment tool and drama-based social skills intervention for adults with autism or related social communication difficulties
Bibliographic record
Abstract
This study adds to a small literature on social skills measures and interventions for adults with autism spectrum disorder (ASD) or related social communication difficulties (SCD) without intellectual disability (ID). In study 1, a new multimodal assessment tool, the role-play assessment of social skills (R-PASS), was used to measure real-time application of social skills. The scores of adults with ASD/SCD were marginally lower than those of neurotypical adults, with a large effect size, suggesting that the measure can identify differences between the two groups. Therefore, the R-PASS shows potential as an objective tool to assess dynamic and naturalistic social skills. In Study 2, a pre–post single-group design study, we measured the effectiveness of a drama-based social skills intervention for seven participants who self-identified as having ASD/SCD. The R-PASS was used by external raters blind to diagnosis and intervention status to compare the performance of intervention participants to that of neurotypical adults. R-PASS scores suggested substantial improvement of social skills in the majority of participants post-intervention. Furthermore, relatives’ and participants’ perception of their social communication and self-regulation skills improved from pre- to post-intervention. These results suggest that the intervention may have helped the participants improve their social skills.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| 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".