Employment-Related Assistive Technology Needs in Autistic Adults
A Mixed-Methods Study
Bibliographic Data
| ID | 16946703 |
|---|---|
| Authors | Kaiqi Zhou (0000-0002-6524-0385, University of North Texas, corresponding author), Constance Richard (0000-0001-6154-7198, University of Wisconsin System), Yusen Zhai (0000-0001-6257-3005, Florida Department of Education), Dan Li (0009-0009-7330-3225, University of Oklahoma Health Sciences Center), Henry Fry (0000-0001-9947-7332, University of Wisconsin System) |
| Year | 2025 |
| Volume | 15 |
| Issue | 9 |
| Pages | 170 |
| Publication date | 2025-08-26 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | European Journal of Investigation in Health, Psychology and Education (JOURNAL) |
| Journal identifiers | ISSN: 2174-8144 • E-ISSN: 2254-9625 |
| Publisher | MDPI AG (PUBLISHER • IT) |
| DOI | 10.3390/ejihpe15090170 |
| PMID | 41002751 |
| OpenAlex | W4413683348 |
| Language | EN |
| References cited | 50 |
Background: Assistive technology (AT) can support autistic adults in navigating employment-related challenges. However, limited research has explored autistic adults’ actual needs and experiences with AT in the workplace. Existing studies often overlook how well current AT solutions align with the real-world demands autistic adults face across the employment process. To address this gap, this study conducted a needs assessment to explore autistic adults’ perceived AT and AT service needs across employment stages, identify satisfaction and discontinuation patterns, and examine barriers and facilitators to effective use. Methods: A total of 501 autistic adults were recruited through an online crowdsourcing platform, Prolific. Participants completed a needs assessment that included Likert-scale items and open-ended questions. Quantitative data were analyzed using descriptive statistics and weighted needs scoring procedures. Thematic analysis was applied to qualitative responses regarding satisfaction, discontinuation, and general reflections on AT use. Results: Job retention received the highest total weighted needs score, followed closely by skill development and job performance. Participants reported lower perceived needs for AT in the job development and placement domain. Qualitative findings revealed that AT was described as essential for daily functioning and independence, but barriers such as limited access, inadequate training, and social stigma affected use. Participants also emphasized the need for more person-centered and context-specific AT services. Conclusions: AT has the potential to significantly enhance employment outcomes for autistic adults. However, current services often lack personalization and alignment with real-world needs. Findings support the development of more inclusive, tailored, and accessible AT solutions across all employment stages
Assistive technology · Autism · Developmental psychology · Human–computer interaction · Assistive Technology in Communication and Mobility · Autism Spectrum Disorder Research · Computer Science · Disability Education and Employment · Psychology
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| Highly cited | No |
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