Researchers used data from mobile phone accelerometers – the tiny sensors tracking phone movement for step-counting and other apps – to predict people’s personalities. previous studies had predicted personality types using phone call and messaging activity logs, but this study showed adding accelerometer data improved accuracy. Activity like how quickly or how far we walk, or when we pick up our phones up during the night, often follows patterns and these patterns say a lot about our personality type. Physical activity is proven to have a strong correlation with human personality. Therefore, researchers analysed physical activity features from different dimensions like dispersion, diversity, and regularity.
— source rmit.edu.au | 24 Jul 2019