Probabilistically Predicting Location of Human with Psychological Factors

It is believed that personal mobility patterns of a human are highly related to a person’s personality. The person’s location at a given time can be identified in case the person carries positioning devices, and thus a personal mobility patterns can be identified. One of the personality models, the big five personality models have been regarded as a representative model of a personality identification. Combining a personal mobility pattern and a personality, this research presents a mechanism for finding the person’s location at a given hour of a day. In order to connect personality model and locations, the back propagation network was used as an underlying technology. As a result, this paper finds a possibility to predict a person’s location at a given time in combination of personality and personal mobility pattern. Preliminary experiment and practical experiment were conducted and the results of experiments were also presented and interpreted. Key–Words: Human Mobility, Probabilistic Location Prediction, Back Propagation Network, Psychological Factor, Big Five Inventory, Human Mobility Modeling, Big Five Personality Trail