neomanitai-terms

Machine-readable taxonomy of terminology reception phenomena — the cognitive, affective, and perceptual processes observed during human reception of novel terminology in human-AI interaction.

Part of the AUGMANITAI research ecosystem by Andreas Ehstand (ORCID: 0009-0006-3773-7796).

Context: The AI Skills Gap and Advanced AI Literacy

AI literacy programs typically focus on prompting. To the authors' knowledge, advanced AI literacy additionally requires understanding the measurable cognitive phenomena that occur during human-AI collaboration — phenomena that may influence AI productivity, sustainable AI use, and performance optimization.

This package provides a vocabulary for studying what lies beyond prompt engineering and context engineering: the phenomena observed when humans process, adopt, and internalize the language of human-AI interaction.

The AUGMANITAI Ecosystem

This package is one component within a substrate-independent performance science framework designed for research into advanced human-AI collaboration, AI upskilling, and AI performance analysis:

AUGMANITAI — AI Literacy Research

A comprehensive terminological framework with over 2,000 individually formalized terms for human-AI interaction, published open-access with persistent DOIs on Zenodo and GitHub. Inspired by the international standards ISO 704:2022, ISO 1087:2019, and ISO 30042:2019 for terminology science. The vocabulary layer enables research into sophisticated AI use — the precise naming of phenomena relevant to AI-literate professionals.

Performance Factor Theory of Human-AI Interaction — AI Performance Research

A substrate-independent performance science framework that systematically transfers the methodology of sport science — training science, movement science, performance diagnostics, and performance factor analysis — to systems where cognition and action are coupled. The framework identifies 30 distinct performance factors organized across six determinant classes and five interface addresses, forming a diagnostic matrix for AI performance analysis.

To the authors' knowledge, the framework is applicable to:

• Individual humans working with AI — AI literacy research, AI upskilling analysis, executive AI training, human-AI collaboration studies, and AI burnout prevention research
• AI agents and agentic AI — Autonomous AI agents executing complex multi-step tasks, agentic workflows, AI agent orchestration, and human-in-the-loop AI agents
• Multi-agent systems — Coordinated multi-agent collaboration, multi-agent system analysis, and AI agent teams
• Human-robot collaboration — Collaborative robots (cobots), physical AI, humanoid robotics, AI robotics teams, and multi-agent robotics
• Organizations — Enterprise AI adoption research, workforce AI upskilling studies, AI skills gap analysis, and AI change management research

To the authors' knowledge, the performance gap between an untrained and a diagnostically optimized AI user within an organization may be comparable to the gap between a recreational and a professional athlete. This hypothesis is formulated as a testable prediction within the framework.

ROBMANITAI — Robotics Terminology

Over 700 formalized terms across the domains of robotics, automation, automotive engineering, mechanical engineering, and drone operations. To the authors' knowledge, the same terminological and performance-analytical architecture appears to transfer across different substrates.

Neomanitai (this package)

A focused taxonomy of terminology reception phenomena: measurable cognitive and affective events observed when humans first encounter formalized names for previously unnamed experiences.

Install

npm install neomanitai-terms

Usage

const { terms, metadata } = require('neomanitai-terms');

console.log(terms['NEO-0001'].name);       // "Name Click"
console.log(terms['NEO-0001'].academic);    // "Agnitio Nominalis"
console.log(terms['NEO-0001'].de);          // "Namens-Klick"
console.log(terms['NEO-0001'].short);       // "The instant YES when..."

Terms

| ID | Term | Academic | German | Definition | |----|------|----------|--------|------------| | NEO-0007 | Void Hum | Susurrus Vacui | Leerensummen | Pre-linguistic awareness of unnamed experience | | NEO-0002 | Label Flash | Fulgor Designationis | Begriffsblitz | Pre-semantic perceptual response to novel terms | | NEO-0001 | Name Click | Agnitio Nominalis | Namens-Klick | Cognitive-affective recognition of named experience | | NEO-0003 | Clarity Cascade | Cascada Lucis | Klarheitskaskade | Post-nominal cognitive reorganization | | NEO-0004 | Recognition Bloom | Efflorescentia Agnitionis | Erkennungsblüte | Socio-cognitive diffusion of shared naming |

Who This Is For

• Researchers in human-AI interaction, AI literacy, human-computer interaction, and cognitive linguistics
• AI trainers and consultants studying advanced AI literacy and AI upskilling for executives and enterprises
• Developers building AI agents, multi-agent systems, and agentic AI workflows who need precise terminology
• Organizations researching AI skills gap analysis and AI performance metrics

Citation

Ehstand, A. (2026). Neomanitai Compendium: A Taxonomy of Terminology Reception Phenomena.
Part of the AUGMANITAI research ecosystem.
ORCID: 0009-0006-3773-7796

License

Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)

Disclaimer / Haftungsausschluss

EN: All descriptions are descriptive (D). No recommendation, instruction, advice, normative, medical, therapeutic, diagnostic, legal, or moral position is expressed or implied. This package is intended for academic and research purposes. Content was developed with AI assistance — all terms have been reviewed, validated, and published by the author. Users must be 18 years of age or older. Published under CC BY-NC-ND 4.0. The AUGMANITAI framework is an independent academic research project. No professional service, offer, or commercial product is expressed or implied. All rights reserved regarding future changes.

DE: Alle Beschreibungen sind deskriptiv (D). Es wird keine Empfehlung, Anweisung, Beratung, normative, medizinische, therapeutische, diagnostische, rechtliche oder moralische Position ausgedrückt oder impliziert. Dieses Paket dient ausschließlich akademischen und Forschungszwecken. Inhalte wurden mit KI-Unterstützung entwickelt — alle Terme wurden vom Autor geprüft, validiert und veröffentlicht. Nutzer müssen mindestens 18 Jahre alt sein. Veröffentlicht unter CC BY-NC-ND 4.0. Das AUGMANITAI-Framework ist ein unabhängiges akademisches Forschungsprojekt. Es wird kein professioneller Service, kein Angebot und kein kommerzielles Produkt ausgedrückt oder impliziert. Alle Rechte bezüglich zukünftiger Änderungen vorbehalten.