arXiv:2606.18716v1 Announce Type: cross Abstract: 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 q
The rapid deployment and integration of AI agents into business operations necessitates immediate focus on effective human-AI interaction for successful adoption and value realization.
Understanding and designing positive human-AI agent UX is critical for overcoming adoption barriers, building trust, and ensuring AI contributions are maximized in business contexts.
The focus is shifting from pure AI capability to the qualitative aspects of human interaction with AI, recognizing it as a key determinant of enterprise AI success.
- · AI software developers focusing on UX
- · Businesses adopting human-centric AI strategies
- · UX designers and researchers
- · AI developers ignoring human-AI interaction
- · Businesses deploying AI without UX considerations
Increased investment in human-AI interaction research and best practices within enterprises.
Development of standardized UX frameworks specifically for AI agent deployment across industries.
A competitive advantage for companies that master intuitive and trustworthy AI agent integration, leading to faster innovation and productivity gains.
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Read at arXiv cs.AI