Assessing and Optimising Human-Machine Symbiosis through Neural signals for Big Data Analytics

DGA-DSTL project

Period : 2014-2018

Partners : Ulster University (Irelande du Nord, Royaume Unis), Inria Bordeaux Sud-Ouest (France)

This project objective is to design new tools for Big Data analysis, and in particular visual analytics tools that tap onto human cognitive skills as well as on Brain-Computer Interfaces. The goal is to enable the user to identify and select relevant information much faster than what can be achieved by using automatic tools or traditional human-computer interfaces. More specifically, this project will aim at identifying in a passive way various mental states (e.g., different kinds of attention, mental workload, relevant stimulus perception, etc.) in order to optimize the display, the arrangement of the selection of relevant information.

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