Empowering AAC users
using AI
Many people who use augmentative and alternative communication (AAC) communicate more slowly and expend significant physical and cognitive effort. Modern AI can help reduce this effort while preserving personal voice and user control.
AI-Powered Communication
Preserving voice, enhancing speed
What AAC Users Face
Key Challenges
Slow Composition Rates
Traditional AAC methods require significant time to construct messages
Impact: Average typing speed is 2-10 words per minute vs. 150+ words for typical speech
Physical & Cognitive Fatigue
Each message requires considerable mental and physical effort
Reality: Users report exhaustion after just 30 minutes of AAC communication
Social Timing Pressures
Conversations move too quickly for traditional AAC input methods
Challenge: By the time a response is typed, the conversation has moved on to new topics
Loss of Expressivity
Current shortcuts may sacrifice personal voice and nuanced communication
Dilemma: Speed vs. personal expression - users must choose between efficiency and authenticity
Todd's Experience
"During team meetings, I often have something important to contribute, but by the time I've typed my response, the conversation has moved on to three different topics. I end up staying quiet more than I'd like to."
— Composite story based on user research findings
How AI Can Help
Modern large language models (LLMs) offer four key capabilities that can reduce communication effort while preserving user agency and personal expression.
Expand Abbreviated Input
Transform short phrases into complete sentences, reducing keystrokes while preserving meaning.
Context-Aware Responses
Generate relevant responses using conversation context and situational awareness.
Tone and Style Control
Create multiple response variations with different tones that match user preferences.
Personal Information Integration
Store personal information to answer recurring questions without repeated input.
Explore Our Work
Discover our interactive prototypes, research contributions, and the team behind this project.
Have Any Questions?
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