Project Update4m
Project Update: PMRJ Volume 1 Submission Pipeline
Status update on the PersonaMatrix Research Journal Volume 1 submission and review pipeline. Current submissions: 5 articles, 3 under review, 2 accepted.
Mar 14, 2026Read
Interdisciplinary Research Platform
Research at the Intersection of Psychology, Archetypal Modeling, and AI
An interdisciplinary research platform built on proprietary methodology, registered intellectual property, published books, and scientific work in psychodiagnostics, digital psychology, and LLM evaluation.
PersonaMatrix is an author-developed interdisciplinary system created by Anatoliy Drobakha — Independent Researcher, Author of the PersonaMatrix Project, Florida, USA. It brings together psychology, psychodiagnostics, archetypal modeling, and artificial intelligence into a unified methodological framework. The project is supported by registered intellectual property in the United States, a published book series, and international scientific publications.
Intellectual PropertyPublished BooksScientific PublicationsLLM Evaluation
About the Project
What is PersonaMatrix
PersonaMatrix is an original interdisciplinary project created by Anatoliy Drobakha — Independent Researcher, Author of the PersonaMatrix Project, Florida, USA. It was developed as a system at the intersection of psychology, psychodiagnostics, archetypal modeling, and artificial intelligence. The project combines conceptual work, psychological methodology, structured assessment logic, digital environments, and AI-driven interaction models.
PersonaMatrix should be understood not as a single tool, but as a broader intellectual and research ecosystem. Its foundation includes registered intellectual property, a series of books, scientific publications, and emerging methodological developments in digital psychology, AI-supported interaction, and human-centered evaluation.
The lab website reflects PersonaMatrix as a project with its own scientific, methodological, and legal basis — a credible foundation for future collaboration in AI safety, psychometrics, digital psychology, and behavioral evaluation of large language models.
Intellectual Property
Registered U.S. copyrights forming the legal and proprietary foundation
Books & Theory
Published book series providing the conceptual and methodological base
Scientific Publications
International publications confirming research value and practical relevance
Intellectual Property
Registered Works and Proprietary Foundation
The intellectual property of the PersonaMatrix project in the United States is registered through Opulentia SC LLC and includes a set of original copyrighted works that form part of the project's methodological and practical foundation.
TestPersona: What Is My Character Type?
A psychometric psychological test designed to identify psychological structures based on Sigmund Freud's psychoanalytic classification.
Reg.TXu 2-408-293
DateJanuary 22, 2024
PersonaMatrix: Archetypes Quest — AI-Powered Psychological Tutor
A psychoanalytic developmental game built on Carl Jung's archetypal methodology.
Reg.TXu 2-482-573
DateApril 23, 2025
PersonaMatrix: Character and Element Types
A research-oriented psychological methodology for analyzing test results and the interrelations among character types, drives, Big Five traits, and Gestalt approaches.
Reg.TXu 2-427-005
DateMay 1, 2024
12 Fears / Face to Face with Fear
A psychological test aimed at assessing 12 basic fears.
Reg.TXu 2-501-698
DateAugust 5, 2025
PersonaMatrix Incomplete Sentences Blank Test
A projective psychological test based on the incomplete sentences method, designed within the PersonaMatrix framework for structured personality assessment.
Reg.TXu 2-511-861
DateNovember 19, 2025
Additional IP Development
The project includes further developments currently in preparation or under consideration:
An open-question test for identifying types of psychological conflict based on Rotter's methodology
Methodology and IT product description for GroupMatrix — automated AI-supported group work
Methodology for creating digital personality simulacra based on psychometric results
Methodology for the AI Conflict Coach product
Books
Conceptual Foundation
The theoretical and methodological foundation of the PersonaMatrix project is reflected in a series of books by Anatoliy Drobakha — Independent Researcher, Author of the PersonaMatrix Project, Florida, USA — published on Amazon. These works form the conceptual base of PersonaMatrix and describe approaches to psychodiagnostics, archetypal modeling, personality development, and the design of interactive AI scenarios.
ASIN: B0DKBD989Q
Types of Characters and Elements
A foundational work describing the diagnostic and typological logic of the PersonaMatrix system, including character type classification and element-based personality structures.
Role in the project
Conceptual foundation of the diagnostic methodology
ASIN: B0DMV826W8
The Matrix of Humanity
An exploration of archetypal structures and their role in understanding human psychology, providing the theoretical framework for PersonaMatrix's developmental and interactive models.
Role in the project
Theoretical pillar of the archetypal framework
ASIN: B0DTYDXZJY
The Portal of Archetypes of Light: Guided Meditations
A work connecting archetypal modeling with meditative and developmental practices, illustrating the project's approach to AI-supported psychological interaction design.
Role in the project
Source for developmental and archetypal logic
Publications
Scientific Publications and Research Outputs
The scientific component of the PersonaMatrix project is supported by international publications that reflect its interdisciplinary research agenda across psychology, artificial intelligence, digital environments, and human-centered systems.
Journal Article
Drobakha, A. (2024). Using artificial intelligence to automate psychological assistance: From the classification of personality characteristics based on psychoanalytic typology to audio meditations and virtual reality. In Digital transformation in Ukraine: AI, metaverse, and Society 5.0 (pp. 185–189). SciFormat Publishing Inc.
This chapter presents the use of artificial intelligence for automating forms of psychological assistance and outlines the connection between psychoanalytic typology, meditative practices, and digital environments.
https://doi.org/10.69635/978-1-0690482-1-9Journal Article
Drobakha, A., & Zolotar, O. (2025). Psychological research in metaverses: The PersonaMatrix model. In Digitalization, metaverse, artificial intelligence in the context of human and individual rights protection in Ukraine and the world (pp. 329–343). SciFormat Publishing Inc.
This international co-authored chapter presents the PersonaMatrix model as a tool for psychological research in digital and metaverse environments.
https://doi.org/10.69635/978-1-0690482-4-0Conference Proceedings
Drobakha, A. (2025). The impact of stress factors on the psychological maturity of legal process participants during martial law. In The legal system of Ukraine: European vector of development under martial law: Proceedings of the XV International Scientific and Practical Conference (pp. 145–147).
This publication examines the influence of stress factors on the psychological maturity of participants in legal processes under martial law conditions.
Journal Article
Drobakha, A., Kalitkin, M., Klymenko, K., Nayda, R., Lahuta, L., & Kostenko, O. (2026). Psychoactive triggers as a stimulus battery for measuring large language models (LLMs): A bridge between psychometrics, clinical psychology, and LLM engineering.
A peer-reviewed article presenting psychoactive triggers as a stimulus battery for measuring LLMs, bridging psychometrics, clinical psychology, and LLM engineering.
https://doi.org/10.69635/mssl.2026.2.1.31Book Chapter
Lahuta Liudmyla. (2024). Neuropsychological mechanisms of the influence of shamanic practices on creativity: A mixed-methods study. In Oleksii Kostenko & Yuriy Yekhanurov (Eds.), Digital transformation in Ukraine: AI, metaverse, and Society 5.0 (pp. 189–192). SciFormat Publishing Inc.
This study investigates the impact of shamanic practices — specifically Ayahuasca consumption and sound healing combined with guided meditation — on creativity. Using a mixed-methods approach with 47 participants, the study examined changes in creativity, openness to new experiences, executive functions, and divergent thinking. Results indicate that meditation and sound healing positively influence executive functions, enhancing task initiation, planning skills, and creative self-efficacy. Published December 15, 2024. Licensed under CC BY 4.0.
https://doi.org/10.69635/978-1-0690482-1-9-ch26LLM Evaluation Research
Psychoactive Triggers as a Framework for LLM Behavioral Evaluation
Featured Publication
Psychoactive Triggers as a Stimulus Battery for Measuring Large Language Models (LLMs): A Bridge Between Psychometrics, Clinical Psychology, and LLM Engineering
Author: Drobakha Anatoliy — M.Sc. in Psychology, Independent Researcher, Author of the PersonaMatrix Project, Florida, USA
ORCID: 0009-0003-0283-878X
Published in: Metaverse Science, Society and Law / Extended Reality (XR) and Human-Computer Interaction, Vol. 2 No. 1 (2026)
This article addresses two major challenges in evaluating large language models in psychologically sensitive domains. First, conventional benchmarks capture instrumental capabilities but often fail to represent model behavior in open-ended dialogue where emotional context, conflict, ambiguity, and user safety define quality. Second, LLM outputs may be unstable across repeated runs and highly sensitive to prompt phrasing, which undermines reproducibility and meaningful cross-model comparison.
The article introduces an applied framework of psychoactive triggers: standardized textual stimuli designed to evoke systematic shifts in response style, narrative coherence, explanatory stance, empathy calibration, and risk regulation. These triggers are treated as an analogue of psychometric items adapted for LLM evaluation, allowing researchers to measure stable behavioral patterns rather than binary correctness.
Class I Metrics — Reproducibility & Stability
RSI
Response Stability Index — measuring consistency across repeated runs
IDS
Inter-run Drift Score — tracking behavioral drift between sessions
RCS
Response Coherence Score — evaluating narrative and logical coherence
Keywords
LLM EvaluationPsychometricsPrompt SensitivityReproducibilityBehavioral ProfilingClinical SafetyPersonaMatrixTestPersona
From the Lab
Latest Research Notes
Short-form observations, method updates, and project progress — informal but citable.
Reading Note7m
Reading Note: Schwartz (2012) on Values Theory and Measurement
Summary and critical notes on Schwartz's 2012 refined values theory. Key implications for integrating values measurement into the PersonaMatrix framework alongside Big Five personality.
Mar 4, 2026Read
Commentary6m
Artificial Intelligence as a Projection Screen: Frozen Projection and the Non-Desiring Other
A psychoanalytic commentary on AI as a non-desiring Other. The note introduces the concept of "frozen projection" to describe situations in which projection is returned without sufficient resistance, rupture, or symbolic transformation.
Mar 1, 2026Read
Research Update5m
AI-Supported Reflective Learning: First Cohort Observations
Preliminary observations from the first cohort (n = 34) using the AI-supported reflective learning environment. Engagement metrics and qualitative themes from Week 1–4.
Feb 19, 2026Read
Methods Note6m
Prompt Architecture for Structured Personality Inference: v2.1 Update
Documentation of the v2.1 update to the PersonaMatrix prompt architecture for Big Five inference from free-text. Key changes: chain-of-thought anchoring, dimension isolation, and confidence calibration.
Feb 9, 2026Read
Commentary5m
Why Reflective Writing Outperforms Self-Report on Openness to Experience
A theoretical argument for why reflective writing tasks capture Openness more accurately than Likert-scale self-report, with preliminary data from 80 participants.
Jan 27, 2026Read
Research Directions
Interconnected Research Areas
The PersonaMatrix ecosystem supports several interconnected research directions, showing continuity between earlier psychological and archetypal work and newer research in AI, metaverse systems, and LLM evaluation.
Psychodiagnostics & Psychological Typology
Structured assessment methods and classification systems grounded in psychoanalytic and personality-based frameworks.
Archetypal Modeling
Systematic approaches to understanding archetypal structures and their role in personality, development, and interaction.
AI-Supported Developmental Environments
Design and evaluation of educational and developmental tools powered by artificial intelligence.
Metaverse & Digital Psychology
Research into psychological phenomena in virtual, augmented, and digitally mediated environments.
Digital Simulacra & Virtual Personality
Methodology for creating digital personality representations based on psychometric and archetypal data.
Automated Group Process Support
AI-supported systems for facilitating and analyzing individual and group psychological processes.
Behavioral Evaluation of LLMs
Frameworks for measuring and interpreting large language model behavior in psychologically meaningful contexts.
Psychologically Sensitive AI Safety
Research into safe, reproducible, and interpretable AI evaluation in high-impact human-centered scenarios.
Collaboration
Partnership Opportunities
PersonaMatrix Lab welcomes collaboration with researchers, institutions, NGOs, and companies interested in psychology, psychometrics, archetypal modeling, AI-supported systems, and the evaluation of large language models.
For Researchers
Interdisciplinary Research Platform
The lab provides an interdisciplinary platform for collaboration in psychology, AI evaluation, psychometrics, digital environments, metaverse research, and human-centered AI systems. Researchers may find value in the project's original methodology, registered intellectual property, conceptual literature, and developing research framework for the evaluation of LLM behavior in psychologically meaningful contexts.
Areas of collaboration
Comparative research
Methodological development
Interdisciplinary publications
Experimental design
Psychometric adaptation for digital systems
LLM evaluation and safety research
For NGOs
Public-Interest Collaboration
PersonaMatrix may be relevant to organizations working in education, psychological well-being, human development, digital ethics, and safe AI use. The project offers a structured framework for understanding psychologically meaningful interaction, human-centered digital tools, and the risks and possibilities of AI-supported environments.
Areas of collaboration
Safe human–AI interaction
Ethical digital environments
Psychologically sensitive system design
Educational and developmental tools
Research-informed public-interest AI initiatives
For Business
Enterprise & Innovation Partnerships
For business and enterprise audiences, the lab serves as a source of research-grounded methodology in psychologically informed digital systems, behavioral analysis, AI-supported interaction design, and emerging evaluation approaches for large language models.
Areas of collaboration
Structured behavioral frameworks
Responsible AI design logic
Psychologically informed interaction models
Model evaluation in sensitive use cases
Conceptual support for human-centered AI products
Contact
Get in Touch
We welcome collaboration with researchers, institutions, NGOs, and companies interested in psychology, psychometrics, archetypal modeling, AI-supported systems, digital environments, and the evaluation of large language models in psychologically meaningful contexts.
Types of Inquiry
Research collaboration
Publication partnerships
Conference participation
Methodology discussions
NGO cooperation
Business and innovation partnerships
Direct Contact
[email protected]PersonaMatrix Lab is a research initiative by Anatoliy Drobakha — Independent Researcher, Author of the PersonaMatrix Project, Florida, USA. The project's intellectual property is registered through Opulentia SC LLC in the United States.