Designing a Stress and Anxiety Support Tool to Help Young Adults with Autism in Daily Living
Bibliographic record
Abstract
Abstract Individuals with autism may experience higher stress and anxiety levels for longer periods than their neurotypical peers. Traditional techniques to provide stress relief and anxiety management include support, which reminds people of how to face stressful situations. Some technological proposals supporting the user include strategies for detecting and monitoring stress levels. In this research, we conducted an iterative user-centered study aiming to understand how young adults with autism deal with stress in real-life situations. We proposed a set of five design principles that will serve as guidelines to develop assistive anxiety management technology for individuals with autism. We then developed a set of low-fi prototypes and selected SATORI, a support tool composed of three interfaces, to help young adults with autism autonomously manage the anxiety caused by stressful situations in their daily life. We evaluated our proposed design principles using SATORI with eight young adults with autism. The results show a positive perception of the design principles on what SATORI is based on, as participants perceived that SATORI could help them in their daily life to manage stress and channel anxiety.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".