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

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.

Human-Computer Interaction (cs.HC); Artificial Intelligence (cs.AI)

arXiv:2607.19941 [cs.HC]

(or arXiv:2607.19941v1 [cs.HC] for this version)

https://doi.org/10.48550/arXiv.2607.19941 Focus to learn more arXiv-issued DOI via DataCite (pending registration)

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