making sense of big data with virtual reality and the unconscious mind
Death is a tragedy. Millions of deaths are a statistic. known quote - Often mistaken for Stalin. Regardless of the author, this sentence is interesting because it can be read in at least two ways: one is related to compassion fatigue, and we cannot feel angry when terror exceeds a certain threshold. But it may also be seen as something we can\'t imagine and understand the meaning of a lot of data. When numbers are too high, it is difficult for the brain to understand them. If you\'re dealing with large data sets, not individual numbers, then it\'s hard to find meaningful patterns that describe them. This is what is happening now, from scientific economics to neuroscience, archaeology, history, or economics, in a variety of disciplines: the world produces 1 every minute. 7 million bytes of data, equivalent to 360,000 DVDs. How do we understand it? In fact, we basically don\'t. Even with the help of computers, our minds cannot cope with this challenge on their own. Or when it is, it takes too much time to do so. But what if we were able to present the data in a way that was more \"empathetic\" and closer to the way we normally process the world? This is the scientists of CEEDs ( Collective experience on behalf of empathy data systems) The project, which consists of 16 partners from 9 European countries, is trying to do so. Experience induction motor (XIM) More than an immersive In the modal environment at the University of Pompeu Fabra in Barcelona, they are trying to use VR technology to allow users to \"enter\" large data sets. Because, as they say, a picture is worth thousands of words, you might want to take a look at the video below and see how it works. Once the user wears a VR headset inside the sensing machine, the data rally is presented in various shapes and formats for easy understanding. Not only that, because the world is indeed a stage Like the famous poet used to say But it\'s also a mirror, and the visualization changes depending on the user\'s response. If something interesting gets his attention, the focus of the scene changes accordingly. Interestingly, it is not necessarily a conscious reaction. Instead, scientists are looking for clues from the unconscious (Or subconscious)mind. Before consciousness reaches the brain, the body is usually aware that something is happening. Therefore, CEEDS plans to look for signs of discovery or surprise in these subconscious processes, using wearable technology to measure people\'s responses to visualization of large data sets in SR environments. Gestures, eye movements, or heart rate-monitored by the system through a range of devices: motion sensors track posture and body movements. The movement of the hand of the glove, the grip and the reaction of the skin. Voice devices detect emotional features in what users say or say. To accommodate the presentation of the data, facial expressions, pupil expansion, and other parameters were measured. According to Jonathan Freeman, professor of psychology and CEEDs coordinator, Goldsmith College, University of London, the system also acknowledges that when participants are fatigued or overloaded with information; It simplifies visualization, if necessary, to reduce cognitive load, or to guide users into areas of visualization where information is not rich. CEEDS covers a wide range of areas of expertise. At Leiden University, for example, scholars are trying to use the project to improve the virtual reconstruction of ancient Greek cities. Starting from 2012, the technology is also used in Bergen. Germany\'s Belson Memorial reconstructed the history of Nazi concentration camps, and museums in the Netherlands are also being discussed. Britain and the United States will use it for 2015 commemoration of the end of World War II. Other possible applications of this new approach to processing large data sets include the establishment of a virtual retail store environment at the international airport, as well as the visualization of soil quality and climate in Africa to help local farmers optimize crop yields. \"Wherever it takes a lot of time or incredible effort to get a lot of data, there is potential --Freeman says\".