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Predicting Personality Traits Using Smartphone Sensor Data and App Usage Data
2018
2018 IEEE 9th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON)
Human behavior is complex -often defying explanation using traditional mathematical models. To simplify modeling, researchers often create intermediate psychological models to capture aspects of human behavior. These intermediate forms, such as those gleaned from personality inventories, are typically validated using standard survey instruments, and often correlate with behavior. Typically these constructs are used to predict stylized aspects of behavior. Novel sensing systems have made
doi:10.1109/iemcon.2018.8614854
fatcat:dqfdyzjbtber5mog7rpdbqlplu