A Framework of User Experience Principles for Human-AI Agent Interaction in the Workplace

Kathrin Paimann; Elizangela Valarini; Sebastian Juhl

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arXiv · 2607.19941

A Framework of User Experience Principles for Human-AI Agent Interaction in the Workplace

Kathrin Paimann·Elizangela Valarini·Sebastian Juhl

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Abstract

As AI agents become integral to business workflows, establishing guiding user experience (UX) principles is crucial for ensuring user trust and successful adoption. To address this, our study uses a multi-method approach - combining participatory design workshop, paper-and-pencil, expert review, meta-analysis, and in-depth interviews - to identify and validate a design framework of eight core UX principles for human-AI agent interaction in the workplace. Together with their underlying criteria, these principles provide actionable guardrails for designers and software engineers, creating a foundation for developing effective and human-centered AI agent interactions. This study contributes to a structured foundation for future empirical studies on agentic AI in enterprise settings.

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Kathrin Paimann, Elizangela Valarini, Sebastian Juhl. 2026-07-22. A Framework of User Experience Principles for Human-AI Agent Interaction in the Workplace. https://arxiv.org/abs/2607.19941

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