Ehstand Domain Abstracts 2026

Collection of 12 structured abstracts outlining planned applications of the six-step ISO 704-based terminological method (Ehstand 2026, DOI: 10.5281/zenodo.18732990) across diverse domains. Domains covered: EU AI Act (Human Oversight), Cybersecurity (Vulnerability), Human-Robot Interaction (Social Robot), Consciousness Studies (AI Consciousness), Climate Communication (Tipping Point), Digital Twins (Digital Twin), Quantum Computing (Quantum Advantage), Educational Technology (Adaptive Learning), Disinformation Research (Deepfake), AI Safety (Alignment), Sports Analytics (Expected Goals / xG), and a Meta-Synthesis across all domains. Each abstract identifies the terminological problem (jingle-jangle fallacy), the worked example term, and the anticipated methodological extension. This document serves as a roadmap and priority marker for the subsequent full application papers. Part of the AUGMANITAI Terminology Framework — a comprehensive terminological system for human-AI interaction comprising 1000+ defined terms. Author: Andreas Ehstand | ORCID: 0009-0006-3773-7796 Base Method: DOI 10.5281/zenodo.18732990 License: CC BY-ND 4.0 | Preprint — not peer-reviewed Keywords: terminological method, ISO 704, domain applications, research roadmap, AUGMANITAI, jingle-jangle fallacy, EU AI Act, cybersecurity, HRI, consciousness, climate, digital twin, quantum computing, EdTech, deepfake, AI safety, sports analytics, Ehstand method