This visualization is a conceptual illustration that serves to showcase the project.
About
The project focused on developing an automated spatial layout generation system embedded within a GIS environment.
The underlying planning process involved multiple constraints, operational rules, and technical parameters. The goal was to establish a workflow that reduces manual effort, accelerates decision-making, and tightly integrates user actions, underlying data models, and algorithmic output.
Challenges
Spatial layouts are typically formed through a combination of expert knowledge, operational guidelines, and context-dependent constraints. Without systematic support, this results in high effort, inconsistent outcomes, and limited scalability.
An algorithmic component must therefore not only process input parameters but also identify incomplete conditions and request additional data when necessary.
Solutions
The solution uses an internal, domain-specific AI model acting as a dedicated layout assistant:
UX Methodology & Design Process
The system was designed through a research-driven process:
UI Concept
The interface centers on a technical, highly structured interaction model:
Outcome
The resulting concept supports automated spatial layout generation with clear guidance and reduced complexity. Through the integration of an internal AI assistant that detects missing values, requests only relevant parameters, and leverages expert knowledge, the system accelerates planning tasks, reduces manual input, and produces consistent and explainable results.
More Work
