The article discusses how the integration of large language models and AI agents is transforming user interface (UI) design, moving from traditional chatbots to more complex, task-oriented layouts. It emphasizes the importance of spatial UI choices, which influence user interaction and expectations of AI capabilities. Seven emerging UI layouts are explored, examining how these designs affect discoverability and user behavior. The author highlights the limitations of conventional chatbots while showcasing more interactive options like inline overlays, positioning them as essential to enhancing user productivity and trust in AI functions.
The rise of large language models and AI agents has supercharged familiar UI patterns like chatbots, leading to new interface layouts embedding AI into task-oriented designs.
Emerging UI layouts influence user behaviour and expectations through discoverability, interaction patterns, and the perceived roles of AI agents in shaping experiences.
The familiar bottom-right chatbot serves as a subtle aid, providing a secondary interface for non-intrusive support while managing expectations around AI capabilities.
Inline overlay prompts enhance productivity by offering context-sensitive actions directly within content, making AI's role more interactive and closely aligned with user needs.
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