What question did this study set out to answer?

This research aims to explore how human-AI interactions evolve over time, focusing on patterns of communication and continuity.

February 14, 2026Open Access

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

Key Points

This research aims to explore how human-AI interactions evolve over time, focusing on patterns of communication and continuity.
Conducted a longitudinal qualitative study
Analyzed interactions across multiple AI architectures
Documented emergent discursive patterns
Identified distinct interactional continuity across different AI systems
Discovered patterns in discourse that emerged over prolonged interactions
Highlighted the importance of contextual factors in shaping conversation

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.

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LUIS OMAR ODISEA (Thu,) studied this question.

www.synapsesocial.com/papers/699010df2ccff479cfe5719e — DOI: https://doi.org/10.5281/zenodo.18625474

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

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