# Human-AI Agent Interaction in a Business Context

arXiv: https://arxiv.org/abs/2606.18716 · HTML: https://mlsanity.com/paper/2606.18716/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- Builds on 0 of its 13 references that are in the map.
- First posted on arXiv 17 Jun 2026.

## Built on by (most cited first, 1 of 1)

- [A Framework of User Experience Principles for Human-AI Agent Interaction in the Workplace](https://mlsanity.com/paper/2607.19941/) (2026)

## Abstract (arXiv)

As AI agents are increasingly integrated into core business processes, understanding and designing effective interaction patterns between humans and AI agents becomes crucial for value creation. This study identifies and evaluates principles and criteria for a positive User Experience (UX) with AI agents, along with methods for its measurement. We identify user expectations and needs to facilitate adoption, build trust, and support user-centered decision-making by development teams. Using a mixed-methods approach that combines qualitative and quantitative techniques, we explore interaction patterns between humans and AI agents. The findings from this exploratory research serve as the basis to develop a survey experiment which evaluates the effectiveness of specific design elements on a larger scale. This foundational research contributes to the development of more intuitive and effective human-AI agent interactions in business settings.