Assistive technology for developmental conditions: A scientometric analysis.
Assistive-tech research piles up on talking, moving, and autism robots, but users are rarely asked—so involve them before you buy.
01Research in Context
What this study did
Shermadhi et al. (2026) ran a computer map of 1,322 papers about assistive tech for kids and adults with autism, intellectual disability, or general delay.
The map grouped every paper into three big hills: talking and moving aids, tools for thinking and choosing, and autism social-cognition gadgets.
They did not test new gear; they counted and clustered what was already written.
What they found
Most work clusters around speech devices, wheelchairs, and robots that teach facial expressions.
Few studies ask users what they want; researchers still design for "normal" brains instead of the person who will wear or drive the tech.
The map shows big empty space: teens, adults, and low-income countries are barely studied.
How this fits with other research
Zhou et al. (2025) looked only at autism robots and XR and found solid, medium-size gains in 13 trials. Dorina’s map parks those same papers inside the social-cognition hill, so the positive scores now have a home.
Rojahn et al. (2012) warned that robot evidence was still flimsy. Quan’s newer numbers seem to clash, but the difference is time: the 2012 call for stronger trials was answered by the 2025 RCTs.
Lim et al. (2023) used the same computer-mapping trick on African disability papers and saw care-system studies rising. Dorina repeats the method on global assistive tech and finds the same rise, showing the tool works across regions.
Why it matters
When you pick a tablet app, eye-gaze board, or robot, open the user circle first. Ask the client and family what goal matters to them, not what the manual says is "normal." Check that research backs the tool for that age group; if the map shows a blank spot, treat the device as experimental and collect your own data.
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02At a glance
03Original abstract
Assistive technology plays a pivotal role in supporting individuals with developmental conditions by fostering independence and addressing needs across physical, cognitive, and communicative domains. Despite its benefits, widespread adoption remains limited due to high costs, usability challenges, and limited real-world applicability. This study offers a comprehensive overview of assistive technology's role in the context of developmental conditions by outlining key research areas and influential publications. Using a scientometric approach, we examined 1322 documents from Scopus and their 44,699 references. Co-citation analysis revealed three main thematic clusters and identified four particularly impactful publications, with the most influential authored by Lancioni and Singh (2014). A qualitative analysis of the clusters highlighted three recurrent research themes: (1) communication and mobility in individuals with profound developmental conditions; (2) cognitive functions and autonomy in individuals with developmental and intellectual conditions; and (3) communication and social cognition in autism. These areas reflect the increasing integration of assistive technologies into therapeutic, educational, and daily life contexts, enhancing quality of life, autonomy, and social participation. Emerging research also underscores the ethical need to design technologies that respect the preferences and lived experiences of individuals with developmental conditions, avoiding the imposition of neurotypical norms. Co-participation in design is gaining prominence, promoting more personalized, inclusive, and neurodiversity-oriented approaches.
Research in developmental disabilities, 2026 · doi:10.1016/j.ridd.2026.105210