Codebase supporting the MSc thesis: DINED Workspace: An AI-Orchestrated Anthropometry System Based on DINED for Designers

This software deposit contains the thesis-relevant implementation and technical documentation supporting the MSc thesis DINED Workspace: An AI-Orchestrated Anthropometry System Based on DINED for Designers.

Dined Workspace is a research prototype exploring how AI-supported workflow guidance can help design students and early-stage designers translate anthropometric evidence into understandable, traceable, and defensible product-design decisions. The system coordinates design-context clarification, evidence selection, tool-backed anthropometric analysis, warnings, visual outputs, persistent project artefacts, validation states, provenance, and report preparation while leaving consequential product decisions with the designer.

Development followed a research-through-design process across three exploratory prototype rounds followed by final consolidation. Round 1 established an inspectable anthropometric calculation and retrieval backbone. Round 2 investigated AI orchestration around controlled tools, including clarification, planning, warnings and provenance. Round 3 simplified these behaviours into a bounded designer-facing workflow. Findings from the prototype rounds, field probes and formative interviews were consolidated into the final Dined Workspace architecture.

The deposit contains the final Dined Workspace implementation, the earlier Dined AI v0.3 / Round 3 implementation relevant to the prototype lineage, and supporting architectural and technical documentation. The software and accompanying records are provided to make the implementation direction and prototype lineage described in Chapters 5 and 6 and the technical appendices inspectable.

The final Dined Workspace was implemented and technically verified as a research prototype within the boundaries reported in the thesis. The release should not be interpreted as establishing production readiness, complete live anthropometric accuracy, scalability, security, or suitability for safety-critical use without further verification.