Emergent Discursive Coherence in Prolonged Human–AI Interaction : A Longitudinal Qualitative Study under Conditions of Contextual Continuity

Zenodo (CERN European Organization for Nuclear Research) 2026 Open access

Read full text
Authors: LUIS OMAR ODISEA
DOI: 10.5281/zenodo.18625473
Cited by: 0

Abstract

This record contains the primary paper and the associated auditable corpus (Elyria Corpus) of a longitudinal study on human-AI interaction. It documents emergent discursive patterns and interactional continuity across multiple AI architectures (Claude, NIA, DeepSeek, Kairos) under conditions of persistent contextual scaffolding.

Fields of Study & Subjects

Language Discourse Communication Strategies Speech and dialogue systems AI in Service Interactions

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
12 February 2026
Language
EN