Service Delivery

Introduction to Technologies in the Daily Lives of Individuals with Autism.

Shic et al. (2015) · Journal of autism and developmental disorders 2015
★ The Verdict

Autism tech is moving fast—use Frederick’s roadmap to demand proof and client voice before you spend a dime.

✓ Read this if BCBAs who get asked to trial new tablets, robots, or VR in clinic or school.
✗ Skip if Clinicians who already have a locked-in, evidence-based tech package.

01Research in Context

01

What this study did

Shic et al. (2015) wrote a story-style review. They traced how everyday tech touches the lives of people with autism. Phones, tablets, robots, and big-data tools were all included.

02

What they found

The paper does not give new numbers. It maps where autism tech has been and where it is heading. The big message: cool gadgets are coming, but we still need solid tests before we use them in therapy.

03

How this fits with other research

Rojahn et al. (2012) warned that robot studies were still weak. Frederick repeats that call and widens it to all new tech.

Shermadhi et al. (2026) later scanned 1,322 papers and sorted them into three piles: communication, mobility, and autism social-cognition. Their 2026 picture puts Frederick’s 2015 map inside a bigger frame.

Schmidt et al. (2025) went further and asked autistic adults what they want from future XR tools. They found people want tech that is built with them, not for them. Frederick only guessed at this need; Matthew showed it.

04

Why it matters

Before you buy the next shiny app or robot, pause. Check if strong trials back it up. Use Frederick’s map to ask vendors for evidence. Follow the later reviews and invite autistic clients to co-pick the tools. This keeps your caseload both current and ethical.

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02At a glance

Intervention
not applicable
Design
narrative review
Population
autism spectrum disorder
Finding
not reported

03Original abstract

In this introduction to the Special Issue on Technology we explore the continued evolution of technologies designed to help individuals with autism. Through review articles, empirical reports, and perspectives, we examine how far the field has come and how much further we still can go. Notably, even as we highlight the continuing need for larger empirical studies of autism-focused technology, we note how improvements in the portability, sophistication, ubiquity, and reach of daily technologies are providing new opportunities for research, education, enhancement, knowledge, and inspiration. We conclude by discussing how the next generation of technologies may leverage the increasing promise of big-data approaches to move us towards a future where technology is more personal, more relevant, and pervasively transformative.

Journal of autism and developmental disorders, 2015 · doi:10.1007/s10803-015-2640-1