A Randomized Controlled Trial of Multiple Versions of an Acceptance and Commitment Therapy Matrix App for Well-Being
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Mobile apps may be useful in teaching psychological skills in a high-frequency, low-intensity intervention. The acceptance and commitment therapy (ACT) matrix is a visual tool to help develop psychological flexibility by categorizing moment-to-moment experience and is well suited to a mobile app. This pilot study tested the effects of a simple and complex version of a novel app using the ACT matrix in two distinct samples: help-seeking individuals ( n = 35) and students receiving SONA credit ( n = 63). Findings indicated no differences between app conditions and a waitlist condition in the SONA credit sample. However, in the help-seeking sample, improvements were found on well-being and valued action in participants who used the app, with greater improvements and app adoption for those using a complex version with additional skills. A mobile app based on the ACT matrix has benefits for help-seeking individuals, but supplementary features may be necessary to support consistent use and benefits.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 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 it