This study focuses on the identification of objective mental workload (through ElectroEncephaloGraphy) during tasks involving different cognitive functions.

In a medical context based on the solicitation of various cognitive functions, it is essential to be able to modulate the level of difficulty of the task, to maintain a constant level of mental workload while preserving the playful aspect of the activity. This must be sufficient to maintain the person's involvement without inducing too high a mental workload.

However, currently, there is no standardized model of variation of mental workload for cognitive tasks that could be used to modulate the difficulty. The present study is therefore part of this context and concerns the identification of the mental workload during tasks requiring cognitive functions such as memory or attention.

Further this study will allow to adapt in real time the difficulty of virtual tasks to the mental workload of people. In other words, to have a universal brain decoder of the mental workload.

Inclusion Criteria:

• Age> 20 years old and <50 years old
• French-speaking men or women
• Fluent in French (native speaker or fluent)
• Hold at least a baccalaureate +2
• Right-handed
• Having normal or corrected to normal vision
• Having normal or corrected to normal hearing

Exclusion Criteria:

• Minors
• Adults under guardianship or curatorship
• Non-French speakers
• Sleep debt at the time of the experience
• Daltonism
• Vision and hearing uncorrected to normal
• Pregnant or breastfeeding women
• History of associated cranial trauma or any other neurological pathology altering the cerebral sensory-motor system or the cognitive capacities and higher functions.