Reflective Collaboration between Human and AI: A Case Study in Real-World Interaction

This paper documents a unique, reflective collaboration between a human user and an AI assistant (ChatGPT-4) to explore limitations, potential, and architectural considerations of AI in long-form interaction. Covering five core themes from trust-building to system-level design flaws, it presents both user experience and technical insight. The dialogue-inspired approach offers new ground for studying AI not only as a tool but also as a cognitive partner.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-06-08
DOI
https://doi.org/10.5281/zenodo.15617625
Primary Topic
Topic Modeling
Type
article
Field-Weighted Citation Impact
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article

Reflective Collaboration between Human and AI: A Case Study in Real-World Interaction

Zenodo (CERN European Organization for Nuclear Research)
Topic Modeling
article

Reflective Collaboration between Human and AI: A Case Study in Real-World Interaction

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Abstract

This paper documents a unique, reflective collaboration between a human user and an AI assistant (ChatGPT-4) to explore limitations, potential, and architectural considerations of AI in long-form interaction. Covering five core themes from trust-building to system-level design flaws, it presents both user experience and technical insight. The dialogue-inspired approach offers new ground for studying AI not only as a tool but also as a cognitive partner.

Zenodo (CERN European Organization for Nuclear Research)
OpenAI (United States) (US), Oldham Council (GB)
Sustainable cities and communities
Openalex Percentile: Top 77%
Topic Modeling
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Reflective Collaboration between Human and AI: A Case Study in Real-World Interaction · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS