User experiences of the mobile stress autism mate (SAM) application: a qualitative study among autistic adults not receiving mental health care

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van Asselt, A., Roke, Y., Hoeberichts, K., Begeer, S., & Scheeren, A. (2026). User experiences of the mobile stress autism mate (SAM) application: a qualitative study among autistic adults not receiving mental health care. Health Psychology and Behavioral Medicine, 14(1), 2684373-2684373. https://doi.org/10.1080/21642850.2026.2684373

Publication date: 7 Jul 2026 Added to AutiHub: 6 Aug 2026 Type: Article Article language: English
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Authors

Publication authors
5
Publication authors identified as autistic
1 / 5 (20.0%)
  1. Alvin van Asselt *
  2. Yvette Roke
  3. Kirsten Hoeberichts
  4. Sander Begeer
  5. Anke Scheeren

Abstract

Background: Autistic adults typically experience greater daily stress than their non-autistic counterparts, but professional mental health care is not always accessible or fitting. This qualitative study explored the user experiences of the Stress Autism Mate (SAM), a free co-created mobile application designed to reduce stress, among autistic adults not receiving mental health care. Methods: A total of 15 autistic users (8 satisfied, 7 dissatisfied; aged 27-70; 4 men, 10 women, 1 non-binary) were recruited through a prior SAM trial database and autism-related social media groups for semi-structured online interviews. Interview questions were informed by the User Experience Technology Acceptance Model (UX-TAM), whereas themes were developed inductively through thematic analysis. Results: Participants generally appreciated the SAM app's focus on enhancing stress recognition and its non-coercive, intuitive, and minimalist interface. Nevertheless, they found the app's stress tips insufficiently tailored to their context and the repeated login requirement frustrating. Satisfied users expressed a stronger need for stress-reducing support and greater trust in the app's developers and its scientific foundations. Dissatisfied users perceived the app's features as superficial and reported greater strain from attempting to adhere to its demands. Conclusions: Despite the diverse user experiences, the findings highlight various avenues to improve the SAM app and similar standalone mHealth tools for autistic adults. Future adaptations should carefully balance the provision of structure and support with the risk of inducing technostress.

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Cited references
81
Total cited references integrated for this publication.
Cited references with an identified autistic author
4 / 81 (4.9%)
Cited author occurrences identified as autistic
4 / 309 (1.3%)
Among occurrences linked to AutiHub author records: 4 / 41 (9.8%). Distinct cited authors identified as autistic: 4 / 296 (1.4%).
Cited author occurrences linked to AutiHub author records
41 / 309 (13.3%)
Distinct linked cited authors: 32 / 296 (10.8%)
Linked cited-author occurrences not identified as autistic
37 / 41 (90.2%)
Among linked cited-author occurrences only. Across all cited-author occurrences: 37 / 309 (12.0%). Distinct linked cited authors not identified as autistic: 28 / 32 (87.5%).
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