An Integrative and Precise Approach in Personality Computing Based on Ontic Personae Modeling

摘要

A model describing the wide variety of human behaviours called personality, has become increasingly popular among researchers due to the widespread availability of personal data generated from the use of prevalent digital devices, e.g., smartphones and wearables. Plenty of personal data could be used to model an individual or even digitally clone a person. Such as a cyber-I (cyber individual), which aims at a unique and comprehensive description for an individual to mesh with various personalized services and applications. According to the high complexity and low efficiency in mining humans' mental states, one possible solution for Cyber-I modeling is to approach or compute an individual's personality. Although, an extensive research literature on or related to personality computing exists, i.e., into automatic personality computing, however, the precision and integrity of personality traits resulting in current personality computing are insufficient for the elaborate modeling in Cyber-I. Due to the heterogeneity of personal data, it is critical to organize the mass of personal data following a kind of pattern, and further establish a model involving a various of factors, i.e. location, time, person and behavior, to recreate the situation. In addition, it is also important to make a precise calculation of personality based on the model above. In our previous research, we have proposed a kind of model called the ontic personae to describe an individual's behavior with corresponding situation, or scenario. However, the lack of systematic implementation of ontic personae hindered further researches in personality computing. Therefore, this research mainly focuses on an integrative and precise approach in personality computing based on a well-designed ontic personae modeling. Especially, an ontic personae broker and personality computing engine are correspondingly, implemented for the integrative ontic personae generation and precise personality computing. The case studies in these two components have been evaluated accordingly.