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.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-11-04
DOI
https://doi.org/10.5281/zenodo.17523482
Primary Topic
Emotion and Mood Recognition
Type
article
Field-Weighted Citation Impact
0.00
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article

The VAKIETA Communication Intelligence Model: A Multimodal Framework for Linguistic, Tonal, and Motivational Alignment

Zenodo (CERN European Organization for Nuclear Research)
Emotion and Mood Recognition
article

The VAKIETA Communication Intelligence Model: A Multimodal Framework for Linguistic, Tonal, and Motivational Alignment

article en

Abstract

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.

Zenodo (CERN European Organization for Nuclear Research)
Forming Technologies (Canada) (CA)
Quality Education
Openalex Percentile: Top 40%
Emotion and Mood Recognition
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