An Online Psychological Program for Adolescents and Young Adults With Headaches: Iterative Design and Rapid Usability Testing
Bibliographic record
Abstract
BACKGROUND: Headache disorders are common, debilitating health problems. Cognitive-behavioral therapy (CBT) is recommended but rarely easily available. With the use of the internet and communication technologies among youth and young adults, these individuals could be self-trained in CBT skills. There is an increasing number of internet-based interventions for headaches, but there has been little research into the usability of these interventions because evaluating usability across the intervention development life cycle is costly. We developed an internet-based CBT program, the Specialized Program for Headache Reduction (SPHERE). While developing it, we aimed to improve SPHERE through rapid usability testing cycles. OBJECTIVE: This study aims to presents a rapid and affordable usability testing approach that can be performed throughout the intervention development life cycle. This paper also provides evidence of the usability of SPHERE. METHODS: We used the "think aloud" usability testing method based on Krug's approach to test user interaction within a lab setting. This was followed by a short posttest interview. We planned to test SPHERE with 3-5 participants testing the same part of the program each cycle. Both the design and development team and the research team actively participated in the usability testing process. Observers independently identified the top 3 usability issues, rated their severity, and conducted debriefing sessions to come to consensus on major issues and generate potential solutions. RESULTS: The testing process allowed major usability issues to be identified and rectified rapidly before piloting SPHERE in a real-world context. A total of 2 cycles of testing were conducted. Of the usability issues encountered in cycles 1 and 2, a total of 68% (17/25) and 32% (12/38), respectively, were rated as major, discussed, and fixed. CONCLUSIONS: This study shows that rapid usability testing is an essential part of the design process that improves program functionality and can be easy and inexpensive to undertake.
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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 | 0.000 |
| 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 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".