SLPPilotAssistive technology : the official journal of RESNA2024

Development and preliminary evaluation of a grid design application for adults and children using scanning and bci-based augmentative and alternative communication.

Kevin M Pitt

PMID 39475413

WHAT IT FOUND

Five people experienced with BCI-AAC research designed personal scanning or BCI-AAC grids in an iPad app.

Each made a unique display, and all rated it easy and enjoyable. They chose varied highlighting and layout settings, not one standard grid.

Key findings

01Five participants used the application to design their preferred display, and each created a unique interface.

02Four of five participants chose the A-to-Z letter layout, and four of five chose animated effects for the spelling display.

03Ease of use ratings ranged from 4 to 5 on a 5-point scale, and all participants rated enjoyment as 5.

STILL TO COME

How it was doneWhat they foundWhat it means for SLPs

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What it does not show

The study had only five participants, so it cannot show what most people who use scanning or BCI-AAC prefer. All participants had previous BCI-AAC research experience, so the results may not apply to new users or people with no AAC technology experience. The group included only two adults with cervical spinal cord injury and three children without physical impairment, so it did not represent many other people who need AAC access. The study did not compare scanning and P300-BCI-AAC preferences, so it cannot say which highlighting method users prefer. The app was used only to design displays, not to select items in real time, so it did not measure selection accuracy, speed, learning, or communication outcomes. The app relied on touch or stylus access, so some people with limited movement may not be able to use it without partner support.

Declared interests

The author reports no competing interests. Dr Pitt receives a salary from the University of Nebraska-Lincoln.

The easy way to misread this

Do not read the high ease and enjoyment ratings as proof that this app improves AAC performance. It was a proof-of-concept evaluation with five participants, not a controlled test, and it did not measure selection accuracy, speed, or communication outcomes.

Read it on PubMed →