The Severe Inefficiency of Chat Mode
When ChatGPT exploded globally, we thought it was the end-game of HCI: a text box, an insertion point, and lines of text. However, the reality is that the current “Chat Mode” remains extremely inefficient. It is essentially a “Command Line Tool” cloaked in natural language.
Users must logically decompose their intent in their minds and then input it precisely via a keyboard. This approach violates humanity’s most fundamental “interaction protocol”: in the physical world, we convey massive information through eye contact, gestures, and situational context, rather than relying on typed confirmation.
Generative UI: Interface on Demand
Before we fully enter the “No Interface” era, we are experiencing a transition period called “Generative UI.”
- Traditional GUI: Requires users to hunt for targets among 100 preset buttons, with a very high learning cost.
- Generative UI: AIOS renders temporary, native-quality interactive touch components in real-time based on the user’s natural language intent.
When you tell AIOS to “Help me compare these two financial reports,” it no longer replies with dry text; instead, it renders a temporary panel in your field of view with comparison sliders and interactive charts. Intent is the starting point; the interface is merely a waystation helping you reach the destination, disposed of after use.
Spatial Computing as the Ultimate Frame
Within the Spatial Computing framework, interfaces are no longer confined to rectangular glass plates. Your intent summons a three-dimensional “temporary workbench.” In this framework, dialog boxes disappear, replaced by dynamic scenes that “change as needed, born for you.”
Illustration
Figure 1: Schematic of the evolution from traditional interface frameworks to Generative UI. The left represents dissolving fixed window grids, while the right depicts dynamic interaction nodes aggregating in real-time around an intentional core.