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.
Study Type
INTERVENTIONAL
Allocation
NA
Purpose
BASIC_SCIENCE
Masking
NONE
Enrollment
20
Electroencephalographic signals registration during different levels of difficulty of three tasks requiring very distinct cognitive functions: the updating of verbal memory, visuospatial span and mental motor inhibition.
Nantes University Hospital
Nantes, France
Identification of the variation in mental workload for different cognitive tasks.
Concomitant evolution in healthy volunteers of the ElectroEncephaloGraphic (EEG) signals and of the subjective mental workload for different levels of difficulty of three tasks requiring very distinct cognitive functions: the updating of verbal memory, visuospatial span and mental motor inhibition.
Time frame: Day 1
Analysis of the influence of the quantity of EEG signals analyzed by our brain decoder on its accuracy
Time frame: Day 1
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