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Interprofessional Practitioners' Opinions on Features and Services for an Augmentative and Alternative Communication
Katya Hill1, Jane Huggins2, Chelsea Woodworth1
1Department of Communication Science and Disorders, University of Pittsburgh, Pittsburgh, PA, USA.
PM & R : the Journal of Injury, Function, and Rehabilitation
|November 25, 2020
Summary
Interprofessional teams found brain-computer interface (BCI) augmentative and alternative communication (AAC) devices desirable. Key features for AAC-BCI devices depend on communication accuracy, rate, and effectiveness for clinical success.
Area of Science:
- Biomedical Engineering
- Rehabilitation Technology
- Human-Computer Interaction
Background:
- Brain-computer interface (BCI) technology offers a novel access method for augmentative and alternative communication (AAC) devices.
- BCI integration aims to enhance communication for individuals with severe speech and motor impairments.
Purpose of the Study:
- To gather early-stage perceptions from interprofessional practice (IPP) team members on desired features for AAC-BCI devices.
- To inform the research and development of effective AAC-BCI systems.
Main Methods:
- Qualitative research using a grounded theory approach with focus groups and surveys.
- NVivo software was used for inductive coding of transcription data from IPP team members.
- Discussions were based on a prototype AAC-BCI device and EEG headgear.
Main Results:
- 100% of participants confirmed AAC devices with BCI access as a desirable commercial product.
- 75% of participants found the prototype effective for daily communication needs.
- Feature preferences, such as headgear type, were strongly influenced by desired accuracy (91%) and performance rate (83%).
Conclusions:
- IPP teams provided crucial insights into the design, services, and features of commercial AAC-BCI devices.
- User-centered design preferences highlight the importance of communication accuracy, rate, and effectiveness.
- These findings offer vital guidance for the successful clinical deployment of AAC-BCI technology.

