What question did this study set out to answer?

To present HUMAN, a framework that enhances interaction between users and AI agents through natural language commands.

February 2, 2026Open Access

HUMAN Protocol: A Framework for Heuristics in User-Machine Alignment Navigation Through Natural Language Command Interfaces

Key Points

To present HUMAN, a framework that enhances interaction between users and AI agents through natural language commands.
Developed a novel protocol for user-machine interaction
Established theoretical foundations focusing on intent inference and contextual awareness
Discussed implications for user accessibility and AI democratization
Facilitates control of AI agents with conversational commands
Eliminates the need for technical programming knowledge
Promotes intuitive interactions in professional and personal contexts

Abstract

This paper presents HUMAN (Heuristics in User-Machine Alignment Navigation), a novel protocol for natural language command interfaces in AI agent systems. The framework enables users to control AI agents through conversational commands without requiring explicit syntax or programming knowledge. We describe the theoretical foundations, key principles including intent inference and contextual awareness, and discuss implications for democratizing AI agent interaction. The protocol addresses the growing need for intuitive human-AI collaboration interfaces as AI systems become more prevalent in professional and personal contexts.

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Cite This Study

Case et al. (Thu,) studied this question.

synapsesocial.com/papers/6980fd81c1c9540dea80f328 https://doi.org/https://doi.org/10.5281/zenodo.18409456

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