Ricerc@Sapienza

Measuring operators’ cognitive and emotional states, training progresses, and teamwork is really innovative, especially in operative and real contexts. The Neuroscience Lab develops methodologies able to measure humans' mental states like mental workload, stress, attention, fatigue in real time.
A mulltimodal approach is usually adopted to accurately and efficiently estimate these aspects by combing data coming from humans' brain (eg Electroencephalogram - EEG), heart (eg Electrocardiogram - ECG), sweating (eg. Electrodermal activity - EDA), eyes (eg. Eyes tracking and Electrooculogram - EOG), perception (eg. questionnaires, rating scales and interviews), and behaviour (eg reaction times, accuracy). 

The mental states estimation allow for:

- endowing a more objective humans' evaluation during pre-operational and real contexts (eg confined, isolated and extreme environments),
- defining of adaptive training protocols,
- implementing of adaptive automations;
- creating of a human - machine closed loop to improve human - machine interactions (HMI) and the desing of AI - based Digital Assistans,
- enabling channels of communication between the brain and computers (BCI),
- improving and optimising the desing of technology and interfaces (Neuroergonomy).