Reka provides contextual based vocabulary suggestions to the user based on information collected using sensors located in the hardware module, which can be mounted to the back of the user's tablet.

Reka:Vocabulary suggestions for Augmentative and Alternative Communication devices – 2019 TREAT Award Winner

University of Waterloo

Hannah Sennik, Laura Bingeman, Abiramy Kuganesan, Nisa Sial

A number of Canadians face challenges communicating every day due to communication disabilities or temporary speech impairments. Any method which is used to facilitate communication for individuals who face challenges communicating using speech is known as Augmentative and Alternative Communication (AAC). Based on the computer technology available, an AAC user has access to a “limitless” word selection, which can be programmed and organized according to the user’s preference. There are several flaws with current products on the market. Users are limited by the number of words that can be shown on the screen at one time. This results in nested menus, which increase the time and cognitive load required by the user to communicate. The impact on AAC users is a speech output rate of 10 words per minute, which is poor compared to the average communication speed of 120 words per minute for natural speech. Additionally, the vocabulary present on these devices is typically insufficient to fully meet users’ communication needs. Reka leverages data from sensors, such as GPS, Bluetooth and camera, and uses real-time information to provide relevant word suggestions to the user based on their personal interests and surrounding environment. By using social and environmental information to automatically customize device vocabulary, the technology will support the improvement of speed and quality of AAC output delivery. Users will no longer be hindered by a static set of words, and instead will have access to a vocabulary that will grow with them and the world around them.

Reka was the recipient of the 2019 TREAT award

RESNA Design Brief


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