KI-Assist 112 developed by Nuremberg Tech and Tawny GmbH is designed to help those working in fire and rescue service control rooms to trigger emergency processes as quickly and smoothly as possible. The possibilities of AI-assisted stress identification are used to monitor the employees’ extraordinary stress situations and help to reduce them. The objective is to answer emergency calls more efficiently, effectively and quickly while also focusing on the health of the employees.
KI-Assist 112: AI-assisted emergency call response assistance system for fire and rescue service control rooms
Why are you a strong team?
We have formed a very special team that unites three different perspectives. Firstly, the AI start-up TAWNY, whose emotion recognition technology is unique and has already won several awards. Secondly, the Nuremberg Institute of Technology, which ensures sound scientific foundations. And last but not least, the emergency control centre managed by the Munich municipal fire service. This stands for user-centricity and the ultimate goal of ensuring citizen safety.
Explain your idea in three sentences.
Operators in the emergency control centre play a key role in ensuring the protection and safety of citizens in Germany. The main aim is to provide fast help in the event of an emergency. The ‘KI-Assist 112’ idea aims to use AI-supported stress detection to support staff at the fire and rescue service control centre to trigger emergency processes as quickly and as smoothly as possible.
What makes your idea special?
A range of training and qualification measures are already in use at the control centre. The use of automated status detection in combination with other usage data in the control centre offers a pioneering way to improve the process from call acceptance to alerting the emergency services. Especially in emergency and stressful situations, the use of technology should be oriented towards people and not the other way around.
What are the next steps?
The next step is to try out the emotion and stress detection in a field test. This will examine technical and process-related factors. A core focus of the research is also the added value and acceptance for and by the control centre staff – after all, the keyword here is ‘human-centred AI design’.
Contact
- Contact person: Dr. Michael Bartl
- E-Mail: michael.bartl[at]tawny.ai
The Policy Lab of the Federal Ministry of Labour and Social Affairs