AUG-WP-134: Augmented Factor Science (AFS) — A Foundational Framework for Systematic Factor Analysis of Human Performance, Cognition, and Goal Achievement Through AI-Assisted Decomposition

We introduce Augmented Factor Science (AFS) as a new interdisciplinary field concerned with the systematic decomposition, analysis, and optimization of factors underlying human performance, cognition, well-being, and goal achievement — augmented by artificial intelligence systems. AFS generalizes the methodology of performance factor analysis from professional sport to all domains of human endeavor. About the Creator Andreas Ehstand bridges educational science, linguistics, and artificial intelligence. He founded the AUGMANITAI research program in 2025 and the field of Augmented Factor Science in 2026, building on 25+ years of systematic performance factor analysis in professional racket sports at international competitive levels, combined with empirical educational research methodology. ORCID: 0009-0006-3773-7796 AUGMANITAI Ethical Disclaimer §1-§26 (V4.0) — Bilingual (EN/DE) EN: §1 All content is exclusively descriptive (D) — no normative position is expressed. §2 No recommendation for any action or decision. §3 No instruction — content describes observations, not procedures. §4 No professional advice of any kind. §5 No normative position on any matter. §6 No medical position — terms are research descriptions, not clinical assessments. §7 No therapeutic position. §8 No diagnostic position — performance factor analyses are research constructs. §9 No legal position — regulatory references are descriptive. §10 No moral position — ethical observations are descriptive, not prescriptive. §11 All content is for academic and research purposes only. §12 AI assistance disclosure: AI tools were used as research instruments; all content reviewed and validated by the human author. §13 All content individually reviewed, validated, and published by Andreas Ehstand. §14 Age restriction: 18+ only. §15 Independent academic project — no institutional affiliation unless stated. §16 No professional service. §17 No commercial offer. §18 No commercial product — this is an academic research framework under CC license. §19 All empirical claims are subject to peer review, replication, and revision. §20 All rights reserved for future changes. §21 Published under CC BY-NC-ND 4.0. §22 Published bilingually (EN + DE) — both versions authoritative. §23 Research Purpose: Terms describing adversarial, manipulative, or sensitive phenomena are documented like medical pathologies or cybersecurity attack vectors — for understanding, diagnosis, classification, and prevention, not instruction or facilitation. §24 Misuse Exclusion: Any use for manipulation, deception, exploitation, surveillance, coercion, or harm is explicitly outside scope and condemned. §25 Safety Intent: This framework makes human-AI interaction safer, more transparent, and more accountable. §26 Author Condemnation: Andreas Ehstand explicitly condemns any misuse of this research for harm, manipulation, exploitation, or any activity undermining human autonomy, dignity, safety, or wellbeing. DE: §1 Alle Inhalte sind ausschließlich deskriptiv (D). §2 Keine Empfehlung. §3 Keine Anweisung. §4 Keine Beratung. §5 Keine normative Position. §6 Keine medizinische Position. §7 Keine therapeutische Position. §8 Keine diagnostische Position. §9 Keine rechtliche Position. §10 Keine moralische Position. §11 Ausschließlich akademische und Forschungszwecke. §12 KI-Unterstützung offengelegt. §13 Vom Autor geprüft und validiert. §14 Ab 18 Jahren. §15 Unabhängiges akademisches Projekt. §16 Kein professioneller Service. §17 Kein Angebot. §18 Kein kommerzielles Produkt. §19 Empirische Aussagen unter Begutachtungsvorbehalt. §20 Änderungsrechte vorbehalten. §21 CC BY-NC-ND 4.0. §22 Zweisprachig (EN + DE). §23 Forschungszweck: Terme werden im selben deskriptiven Geist dokumentiert wie medizinische Pathologien oder Cybersicherheits-Angriffsvektoren. §24 Missbrauchsausschluss: Jede Verwendung zum Zweck der Manipulation, Täuschung, Ausbeutung, Überwachung oder Schädigung liegt außerhalb des Forschungsrahmens und wird verurteilt. §25 Sicherheitsabsicht: Dieses Framework macht Mensch-KI-Interaktion sicherer. §26 Der Autor verurteilt ausdrücklich jeden Missbrauch dieser Forschung. Full 26§ Disclaimer V4.0 (2026-04-13) — Andreas Ehstand — ORCID: 0009-0006-3773-7796