Integrated Modeling of Personal Character Using Personal Big Data

An individual-like intelligent artifact is a special kind of humanoid, which resembles a real human being in aspects of its human counterpart's appearance, behaviors, and characteristics. Such individual-like intelligent artifacts have potential for some fantastic applications, including better-personalized services and digital immortality. Although some researches have been carried out on its appearance and behavior, the essential component making such intelligent artifact really like its human counterpart is still the inherent characteristics or the personality. Accordingly, the personal character model (PCM) is proposed in this paper to achieve a comprehensive description of different individuals' characteristics. The PCM is an integrated model, which consists of characteristics of affect, behavior, and cognition (ABC), personality (P), and their relational (R) characteristics. To build up such characteristic model, an integrated model is proposed, consisting integrated modeling process, and personal characteristic computing. Due to the personal characteristics would be represented by different behavior in different situations, the personal big data is selected as the data source. The personal big data featured in multi-source, multi-modal, multi-situational, and multi-temporal. To verify the feasibility of personal character modeling, 20 participants are recruited to take three experiments for data collection, and computation of selected personal characteristics.