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From Data to Insight: How AI Understands AAC Communication

Every tap on an AAC board tells a story. TalkSeeds detects frustration patterns, tracks pragmatic function diversity, and identifies context-locked vocabulary.

March 15, 20266 min read

Every tap on an AAC board tells a story. When a child taps "want," then "more," then clears the sentence — that's data. When they do it three times in a row without pressing Speak? That's a signal. TalkSeeds listens for these signals.

The Frustration Blueprint

TalkSeeds monitors communication sessions for deletion loops — when sentences are built and abandoned repeatedly. These patterns often indicate missing vocabulary. If your child keeps trying to say something but can't find the right words to finish, TalkSeeds identifies what's missing and suggests "bridge tiles" to help.

Bridge tiles are based on what words naturally follow the ones your child keeps trying to use — helping them finish the thoughts they're working hard to express.

The Pragmatic Tracker

Communication is more than requesting. TalkSeeds classifies spoken sentences into five pragmatic functions:

  • Requesting — "want juice," "more crackers"
  • Protesting — "no more," "stop"
  • Commenting — "look, big dog"
  • Social interaction — "hi grandma"
  • Emotional expression — "I happy," "feel sad"

Early AAC users often communicate primarily through requests. While requesting is important, communication growth means expanding to all five functions. TalkSeeds tracks this balance and highlights when it might be time to introduce more diverse communication opportunities.

The Generalization Pulse

A key milestone in language development is using words across different contexts. TalkSeeds tracks whether your child uses vocabulary in multiple situations or only within one folder.

When a word is "context-locked" — used frequently but only from one area of the board — the app suggests making it more accessible, so your child can use it everywhere they need it. A child who says "more" during snack time but never during play time hasn't fully generalized the word.

Rule-Based and Transparent

All insights are deterministic. No opaque AI models making guesses. Every insight shows exactly what triggered it and what evidence supports it. These features work together with the Modeling Mode attribution system — ensuring only your child's independent communication is analyzed.

TalkSeeds pattern analysis turns raw tap data into actionable communication understanding — helping parents and therapists see what's really happening and where to focus next.

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