Systems and methods for human-machine subconscious data exploration

A system, comprising:

• one or more output devices;
• one or more human interface devices;
• and
• a computer system coupled to the one or more output devices and the one or more human interface devices, wherein the computer system comprises one or more memory devices storing instructions and one or more processors coupled to the one or more memory devices and configured to execute the instructions to perform a method comprising:
• obtaining a data set to be analyzed;
• generating a tailored visual data rendering and a tailored sonic data rendering from the data set using one or more statistical algorithms to identify data renderings representative of a current interest of a user for which one or more relationships among the data is analyzed and the one or more statistical algorithms comprise a clustering algorithm, a regression algorithm, a low-dimensional embedding algorithm, a principal component analysis algorithm, or combinations thereof;
• providing the tailored visual data rendering and the tailored sonic rendering to the user via one or more output devices;
• capturing biofeedback data from the user using one or more human interface devices, wherein the biofeedback data comprises biological responses to the tailored visual data rendering and the tailored sonic rendering;
• continuously generating and providing new tailored data renderings based on the biofeedback data using the one or more statistical algorithms, wherein the new tailored data renderings incorporate features in the tailored visual data rendering and the tailored sonic rendering identified from the biofeedback data and the new data renderings are iteratively generated based on the biofeedback data and the new tailored data renderings are provided continuously to the user via the one or more output devices;
• and
• determining one or more features of interest in the data set based on the biofeedback data and the new tailored data renderings.

A non-transitory computer readable medium storing instructions for causing one or more processors to perform a method, the method comprising:

• obtaining a data set to be analyzed;
• generating a tailored visual data rendering and a tailored sonic data rendering from the data set using one or more statistical algorithms to identify data renderings representative of a current interest of a user for which one or more relationships among the data is analyzed and the one or more statistical algorithms comprise a clustering algorithm, a regression algorithm, a low-dimensional embedding algorithm, a principal component analysis algorithm, or combinations thereof;
• providing the tailored visual data rendering and the tailored sonic rendering to the user via one or more output devices;
• capturing biofeedback data from the user using one or more human interface devices, wherein the biofeedback data comprises biological responses to the tailored visual data rendering and the tailored sonic rendering;
• continuously generating and providing new tailored data renderings based on the biofeedback data using the one or more statistical algorithms, wherein the new tailored data renderings incorporate features in the tailored visual data rendering and the tailored sonic rendering identified from the biofeedback data and the new data renderings are iteratively generated based on the biofeedback data and the new tailored data renderings are provided continuously to the user via the one or more output devices;
• and
• determining one or more features of interest in the data set based on the biofeedback data and the new tailored data renderings.