Research results that may be able to analyze the human character by the accelerometer of the smartphone
by
Smartphones and cell phones have many built-in sensors in order to support various functions such as navigation and AR as well as telephone and e-mail. Researchers at the Royal Melbourne Institute of Technology (RMIT) have shown that it is possible to predict the personality characteristics of the owner by using data from accelerometers that detect such movements and rotations of mobile phones.
Predicting Personality Traits From Physical Activity Intensity-IEEE Journals & Magazine
https://ieeexplore.ieee.org/document/8747565
How You Move Your Phone Can Reveal Insights Into Your Personality, Creepy Study Finds
https://www.sciencealert.com/the-movements-of-your-phone-can-predict-your-personality-kind-of
Between March 2010 and July 2011, RMIT's research team had 52 subjects use a mobile phone with an installed accelerometer to collect data and use it. At the same time, based on the Big Five theory that human character can be evaluated by the five factors “neuropathy tendency, extroversion, openness, coordination and integrity”, the test subjects' personality characteristic five factors are evaluated in advance by testing. did.
In addition, the research team has compiled a list of actions that may use the phone. For example, the research team thought that the behavior of the night on the weekend could predict the extroversion of the subjects, and the number of times the phone calls would predict the coordination.
by Garry Knight
After one year and four months of experimentation, we collected mobile phone data and found that, among the personality traits of the subjects, neuroticism, extroversion and integrity were predictable from the mobile phone data. However, he did not make much predictions of openness and coordination that are deeply related to the inside of people. The research team says it makes sense, since the three personality traits that are shown to be related to cell phone data are related to physical activity.
Mobile phones contain a lot of personal information, but you can get a variety of information without having to steal them directly. For example, a web browser used to use the Internet can collect various information such as location information and what kind of hardware you are using. In addition, if you can analyze the user's personality from the information of the accelerometer that many people don't care about, the value of the mobile phone will increase. Also, ScienceAlert claims that this is the first attempt by researchers to compare data from a phone's built-in accelerometer with device operation, and that more research needs to be done in the same way.
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