Emotion-Tagged Word Substitution with Capitalization Modulation: A Dual-Mechanism Approach to Fine-Grained Emotional Control in Large Language Model Prompts
Year: 2026
Type: article
Abstract: This paper introduces a novel dual-mechanism approach for achieving fine-grained emotional control in Large Language Model (LLM) prompt engineering. The system combines discrete word substitution with continuous capitalization modulation, enabling significantly more granular emotional expression than traditional single-mechanism approaches. We present the theoretical framework, demonstrate practical applications in multi-agent AI governance systems, and discuss implications for human-AI interaction design.
Authors: Case, Simon Michael, 10, AEGIS
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W7126119741
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