SAFEMODE - Decision Making Tool
Client: Deep Blue - Safemode HURID
Serious game simulation for maritime safety training, developed within the European SAFEMODE project (H2020). Multi-role training on high-risk naval scenarios with automated telemetry capture and an analytics dashboard for researchers.

Serious Game – Maritime Safety (SAFEMODE H2020)
The Client
SAFEMODE is a research project funded by the European Union under the Horizon 2020 programme (Grant No. 814961), with a total budget of approximately €7 million. The project's goal was to develop a novel Human Risk-Informed Design (HURID) framework to identify, collect and assess human factors data in the maritime and aviation sectors, improving safety through risk-based design of systems and operations.
The project was coordinated by Deep Blue Italy, a Rome-based company specialising in applied human factors research, with the participation of institutional and academic partners from across Europe, including the University of Rome La Sapienza.
The Project
The serious game simulation was one of the training tools developed within the SAFEMODE framework, designed to place operators and researchers in critical naval scenarios — collisions, emergency manoeuvres, evacuations — and collect quantifiable behavioural data to feed into the HURID model.
Simulation and Gameplay
Built in Godot Engine with GDScript, the simulation features multi-role management systems allowing multiple operators to interact simultaneously within the same naval scenario. The gameplay mechanics cover emergency decision-making, inter-role coordination, and performance evaluation under operational stress.
Backend and Telemetry
The backend infrastructure, built on Appwrite with an optimised SQL schema and .NET cloud functions, enables real-time capture of every action performed by operators during the simulation. Telemetry data is structured and made available for automated analysis, drastically reducing the manual post-processing effort for researchers.
Dashboard and Data Analysis
A SvelteKit dashboard gives researchers and project stakeholders immediate access to actionable performance insights, with visualisations designed to feed the HURID framework with real data from controlled scenarios.
Deployment
The simulation was deployed on WebAssembly, ensuring cross-platform browser accessibility with support for both mobile and web, requiring no local installation.