Royal Melbourne Institute of Technology (RMIT) researchers in Australia used data from the accelerometers in mobile phones to predict users' personalities.
The researchers found accelerometer data improved the accuracy of predicting people's personalities over previous methods using phone call and messaging activity logs.
The researchers found people with consistent movements on weekday evenings were generally more introverted, while extroverts showed more random movements.
The data also showed that agreeable people had more random activity patterns, and were busier on weekends and weekday evenings than others.
Said RMIT researcher Nan Gao, "There are applications for this technology in social media with friend recommendations, online dating matches, and targeted advertising, but I think the most exciting part is what we can learn about ourselves."
From RMIT News
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Abstracts Copyright © 2019 SmithBucklin, Washington, DC, USA
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