HumanOS: Towards a Conceptual Framework of Human Operational System

HumanOS is an innovative evaluation system that performs Human Functional Profile Recognition based on the analysis of voiced waves, intonation features and temporal dynamics. The system is built based on the GEIRT model - a five-component framework that considers the following elements: Geometry – Thinking architecture, Energy – Overall energy levels (dynamics, phase), Intensity – Emotional intensity, Resonance – Emotional resonance .Timing –response rhythm and time This model has been specifically designed by the team of researchers at Business and Technology University (BTU), Georgia. The BTUAI team developed a special evaluation module called GEIRT, which decodes a person’s “internal operational code” through five core components. GEIRT is an integral analytical part of HumanOS, though the latter is a broader concept encompassing the code (GEIRT), the wave, the architecture, and a three-level dynamic of change. By designing the GEIRT methodology, the team contributes to the development of new approaches and new methodologies in the study of human AI interaction. This article presents the theoretical foundation of the system and includes a statistical analysis based on 500 case studies conducted during the period of 2024 and 2025. The research covers data analysis, test results and the formation of archetypal typologies. These results suggest that the HumanOS algorithm can accurately replicate not only the structural and emotional qualities of human speech but also its underlying psychological and typological markers. The high level of consistency between the real and simulated recordings supports the validity of using algorithmic simulation for archetypal profiling. This makes the HumanOS model both scalable and suitable for practical applications. Additionally, the article highlights the methodological advantages of the HumanOS system compared to traditional standardized evaluation methods. It emphasizes the system’s potential to contribute to the future structuring of Human Operational Psychology. The present research is an early step in establishing tonal psychoanalysis as a scientific discipline.

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-08-04
DOI
https://doi.org/10.5281/zenodo.16737095
Primary Topic
Emotion and Mood Recognition
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

HumanOS: Towards a Conceptual Framework of Human Operational System

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

HumanOS: Towards a Conceptual Framework of Human Operational System

article en

Abstract

HumanOS is an innovative evaluation system that performs Human Functional Profile Recognition based on the analysis of voiced waves, intonation features and temporal dynamics. The system is built based on the GEIRT model - a five-component framework that considers the following elements: Geometry – Thinking architecture, Energy – Overall energy levels (dynamics, phase), Intensity – Emotional intensity, Resonance – Emotional resonance .Timing –response rhythm and time This model has been specifically designed by the team of researchers at Business and Technology University (BTU), Georgia. The BTUAI team developed a special evaluation module called GEIRT, which decodes a person’s “internal operational code” through five core components. GEIRT is an integral analytical part of HumanOS, though the latter is a broader concept encompassing the code (GEIRT), the wave, the architecture, and a three-level dynamic of change. By designing the GEIRT methodology, the team contributes to the development of new approaches and new methodologies in the study of human AI interaction. This article presents the theoretical foundation of the system and includes a statistical analysis based on 500 case studies conducted during the period of 2024 and 2025. The research covers data analysis, test results and the formation of archetypal typologies. These results suggest that the HumanOS algorithm can accurately replicate not only the structural and emotional qualities of human speech but also its underlying psychological and typological markers. The high level of consistency between the real and simulated recordings supports the validity of using algorithmic simulation for archetypal profiling. This makes the HumanOS model both scalable and suitable for practical applications. Additionally, the article highlights the methodological advantages of the HumanOS system compared to traditional standardized evaluation methods. It emphasizes the system’s potential to contribute to the future structuring of Human Operational Psychology. The present research is an early step in establishing tonal psychoanalysis as a scientific discipline.

Zenodo (CERN European Organization for Nuclear Research)
Bangladesh University of Business and Technology (BD)
Openalex Percentile: Top 45%
Emotion and Mood Recognition
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.