Human-AI Agent Interaction in a Business Context
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 basi...
| Authors | Kathrin Paimann, Elizangela Valarini, Sebastian Juhl |
|---|---|
| Primary category | cs.HC |
| Published | 17 June 2026 |
| Last updated at source | 17 June 2026 |
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