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February 14, 20260 citationsOpen Access

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

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LOLUIS OMAR ODISEA

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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Cite This Study

LUIS OMAR ODISEA (2026) studied this question.

synapsesocial.com/papers/699010df2ccff479cfe5719ehttps://doi.org/10.5281/zenodo.18625474
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