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. 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.
What is PersonaMatrix
PersonaMatrix is an original interdisciplinary project created by Anatoliy Drobakha. 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
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.
PersonaMatrix: Archetypes Quest — AI-Powered Psychological Tutor
A psychoanalytic developmental game built on Carl Jung's archetypal methodology.
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.
12 Fears / Face to Face with Fear
A psychological test aimed at assessing 12 basic fears.
Additional IP Development
The project includes further developments currently in preparation or under consideration:
Conceptual Foundation
The theoretical and methodological foundation of the PersonaMatrix project is reflected in a series of books by Anatoliy Drobakha 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.
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.
Conceptual foundation of the diagnostic methodology
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.
Theoretical pillar of the archetypal framework
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.
Source for developmental and archetypal logic
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.
Using Artificial Intelligence to Automate Psychological Assistance: From the Classification of Personality Characteristics Based on Psychoanalytic Typology to Audio Meditations and Virtual Reality
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.
The Impact of Stress Factors on the Psychological Maturity of Legal Process Participants During Martial Law
This publication examines the influence of stress factors on the psychological maturity of participants in legal processes under martial law.
Psychological Research in Metaverses: The PersonaMatrix Model
This international co-authored chapter presents the PersonaMatrix model as a tool for psychological research in digital and metaverse environments.
Digital Simulacra and Metapsychology: From Archetype to AI Autonomy
This developing research direction explores the transition from archetypal modeling toward autonomous AI systems within a psychological framework.
Psychoactive Triggers as a Framework for LLM Behavioral Evaluation
Psychoactive Triggers as a Stimulus Battery for Measuring Large Language Models (LLMs): A Bridge Between Psychometrics, Clinical Psychology, and LLM Engineering
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
Response Stability Index — measuring consistency across repeated runs
Inter-run Drift Score — tracking behavioral drift between sessions
Response Coherence Score — evaluating narrative and logical coherence
Keywords
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.
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.
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.
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.
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.
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
Direct Contact
[email protected]PersonaMatrix Lab is a research initiative by Anatoliy Drobakha. The project's intellectual property is registered through Opulentia SC LLC in the United States.