What question did this study set out to answer?

This research aims to develop a systematic framework for analyzing conversational context in AI interactions.

February 13, 2026Open Access

The Seven Core Dimensions of Conversational Context (CXC-7): A Theoretical Framework Proposal

Key Points

This research aims to develop a systematic framework for analyzing conversational context in AI interactions.
Proposed the CXC-7 framework based on literature review and case analysis.
Identified seven core dimensions relevant to conversational context.
Formatted for IEEE Conference standards.
Introduced the CXC-7 framework to address gaps in existing contextual analysis.
Outlined potential applications in improving AI conversational quality.

Abstract

Version 1.1.0 Updates: IEEE Conference format version. Main paper in English (primary file), Chinese version and supplementary materials (figures, BibTeX) included. IMPORTANT NOTE: This paper presents a theoretical framework proposal without original empirical data. The CXC-7 framework is derived from systematic literature review and case analysis. This study addresses the lack of systematic contextual analysis frameworks in AI conversational interactions by proposing the Seven Core Dimensions of Conversational Context (CXC-7).

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The Seven Core Dimensions of Conversational Context (CXC-7): A Theoretical Framework Proposal

Key Points

Abstract

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