When we communicate using only text, we risk cognitive misalignment. This post introduces a conceptual data model—built using Richard Barker’s notation—that illustrates how both verbal and non-verbal elements shape cognition. It highlights how discrepancies emerge when recognition is filtered through limited channels, especially in text-based exchanges.
Modeling Based on 西剛志『結局、どうしたら伝わるのか？』
| Entity Name | Description |
|---|---|
| Language | Verbal communication expressed through structured sentences and written text. |
| Convey through Sentences | A sub-type of Language; transmitting meaning via written or spoken sentences. |
| Non-verbal | Communication through tone, gestures, facial expressions, and other non-textual cues. |
| Speak | A convergence point of verbal and non-verbal signals during real-time communication. |
| Cognition | The internal process of interpreting received signals, shaped by context and prior knowledge. |
| Cognitive Discrepancy | A misalignment between intended meaning and received interpretation, often due to missing cues. |
This model reminds us that cognition is not just about decoding words—it’s about interpreting signals. When non-verbal cues are absent, recognition falters, and discrepancies emerge. To archive knowledge effectively, we must design communication that respects the full spectrum of human cognition.
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