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nexus/wiki/concepts/Command-Theater-Interface.md
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Source: 8 The Agency agents parallel discovery exercise for Nexus Spatial
Products: AI spatial command center (SpatialAIOps category)
Key findings: 2D-first/WebXR strategy, debugging as killer use case

Entities created: Nexus-Spatial, CrewAI
Concepts created: SpatialAIOps, Command-Theater-Interface,
  Debugging-Visualization, Semantic-Zoom, Growth-Loop
2026-04-25 23:39:53 +08:00

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title, type, tags, last_updated
title type tags last_updated
Command Theater Interface concept
spatial-computing
xr
interface-design
ux
2026-03-05

Definition

命令剧院Command Theater——以用户为中心的空间界面布局范式以弧形剧场形式围绕用户组织内容。源自 nexus-spatial-discoveryXR-Interface-Architect 的设计。

Architecture

                        OVERVIEW CANOPY
                     (pipeline topology)
                    ~~~~~~~~~~~~~~~~~~~~~~~~
                   /                        \
                  /     FOCUS ARC (120 deg)   \
                 /    primary node graph work   \
                /________________________________\
               |                                  |
    LEFT       |        USER POSITION             |       RIGHT
    UTILITY    |        (origin 0,0,0)            |       UTILITY
    RAIL       |                                  |       RAIL
               |__________________________________|
                \                                /
                 \      SHELF (below sightline) /
                  \   agent status, quick tools/
                   \_________________________ /

Four Zones

Zone Position Content
Focus Arc 120°, 1.2-2.0m Primary node graph workspace
Overview Canopy above, 2.5-4.0m Miniature pipeline topology + health heatmap
Utility Rails left/right flanks Agent library, monitoring, logs
Shelf below sightline, 0.8-1.0m Run/stop, undo/redo, quick tools

Three-Layer Depth System

Layer Depth Content Opacity
Foreground 0.8-1.2m Active panels, inspectors, modals 100%
Midground 1.2-2.5m Node graph, connections, workspace 100%
Background 2.5-5.0m Overview map, ambient status 40-70%

Design Rationale

  • 用户处于中心,信息按重要性和使用频率分层
  • z-axis深度对应执行顺序input nodes 最远output nodes 最近
  • 减少晕动症:所有交互发生在 0.8-2.5m 范围
  • Semantic-Zoom 配合实现渐进式空间复杂度