The VAKIETA Communication Intelligence Model: A Multimodal Framework for Linguistic, Tonal, and Motivational Alignment
The VAKIETA Communication Intelligence Model introduces an applied framework for decoding and aligning human communication across seven measurable dimensions: Visual, Auditory, Kinesthetic (VAK) perception; Inference versus Explicit (IE) processing; Toward versus Away (TA) motivation; and the Tone and Emotion (T/E) delivery layer. By integrating linguistic, psychological, and acoustic signals into a single explainable model, VAKIETA enables both humans and machines to interpret intent with greater fidelity. This paper defines the theoretical basis, conceptual architecture, and potential applications of the VAKIETA engine, situating it as the first practical implementation of Communication Intelligence (ComIQ)—the emerging discipline focused on analyzing not just what people say, but how and why they say it.
Institutions
- Forming Technologies (Canada) (CA)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2025-11-04
- DOI
- https://doi.org/10.5281/zenodo.17523481
- Primary Topic
- Emotion and Mood Recognition
- Type
- article
- Field-Weighted Citation Impact
- 0.00