Imagine a dashboard that knows when you are stressed or confused and automatically changes how it shows information to help you think clearly. It is like having a smart assistant that reads your emotions and the situation to highlight only what matters most. This helps people make life-saving choices without being overwhelmed by too many flashing lights or numbers.
Decision makers in critical environments are overwhelmed by too much data, leading to errors or delays. Current visual tools are static and do not account for the user's emotional state or level of expertise.
An open source implementation of an awareness engineering system that allows user interfaces to adapt based on context and emotion.
If you are a software provider dealing with medical staff burnout and information overload in ERs — this project developed an adaptive interface that senses emotion and context to present critical patient data more clearly. This helps doctors make faster, more accurate decisions when seconds count.
If you are an interface designer dealing with driver distraction in semi-autonomous cars — this project developed a system that adapts visuals based on the driver's state. This ensures the human receives the right information at the right time to prevent accidents.
If you are an operations software company dealing with cognitive overload in command centers — this project developed a tool that supports the transition from novice to expert users through self-adjusting screens. This reduces training time and improves response speed during crises.
Based on available project data, no specific pricing or commercial cost models are provided as this is a research-funded initiative.
The project aims to provide an open source implementation of its awareness engineering, which suggests a path toward industrial scaling and integration.
Based on available project data, the project proposes an open source implementation, though specific licensing terms for commercial use are not detailed.
The project runs from 2022-10-01 to 2026-09-30, but specific integration timelines for third-party software are not listed.
Based on available project data, there is no mention of specific regulatory certifications, though it targets high-stakes environments like emergency rooms.
The consortium is heavily weighted toward commercial application, with a 60% industry ratio consisting of 3 companies and 1 SME. This strong industrial presence, balanced by 2 universities across 5 countries, indicates a high likelihood that the resulting AI tools will be designed for practical market utility rather than purely academic interest.
Contact the University of Luxembourg research office regarding the SYMBIOTIK project.
Contact us to connect with the SYMBIOTIK consortium for early access to their open source awareness tools.
