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

arXiv: https://arxiv.org/abs/2607.19941 · HTML: https://mlsanity.com/paper/2607.19941/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
- Builds on 1 of its 8 references that are in the map.
- First posted on arXiv 22 Jul 2026.

## Builds on (most cited first, 1 of 1)

- [Human-AI Agent Interaction in a Business Context](https://mlsanity.com/paper/2606.18716/) (2026)

## Abstract (arXiv)

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.