INVENTION NOVELTY
This technology alters the relationship dynamic between human and computer in Big Data exploration. Not only does it facilitate easier communication between user and computer but it raises the computer to a more equal partner in the relationship.
VALUE PROPOSITION
This technology seeks to radically alter how analysts interact with data. It seeks to leverage the most evolved aspects of human intuition and pair it with the relentless thoroughness of modern computing/machine learning. While it builds off of a core computing system which automatically adjusts data feeds to make them more efficient, it also combines other technologies such as eye tracking and P300 brain wave reading among others to measure analyst responses to interesting views of data. This allows the machine portion of the system to highlight these sections and return to them in later sessions. It attempts to do away with the cumbersome analyst systems of the present so analysis can be more organic for both the analyst and machine. Additionally, this system should allow for quicker analysis of Big Data sets as well as facilitate more accurate/insightful conclusions to be drawn from the analysis.
TECHNICAL DETAILS
Johns Hopkins researchers have developed a second generation prototype of this technology using the new-generation dry-cap EEG devices. In addition, they have developed data exploration software which will both calibrate the various “human sensors” as well as cycle through multiple data visualization algorithms in order to find the most insightful views for human analysis.
