Archetype-Based Modeling of Persona for Comprehensive Personality Computing from Personal Big Data.

Area of Science:

• Psychology
• Computer Science
• Data Science

Background:

• The rise of personal big data from digital devices has spurred interest in automatic personality computing.
• Current methods lack the integrity and accuracy for comprehensive individual modeling, such as creating a Cyber-I (cyber individual).
• Existing approaches often rely on insufficient data sources, limiting the depth of psychological descriptions.

Purpose of the Study:

• To establish a unique and comprehensive individual description for personalized services.
• To enhance the accuracy and integrity of personality models by incorporating heterogeneous data.
• To develop an archetype-based persona modeling approach grounded in Carl Gustav Jung's theories.

Main Methods:

• Utilizing personal big data from digital devices (smartphones, wearables).
• Integrating heterogeneous data sources, including physiological and Internet data.
• Applying an archetype-based modeling approach derived from Carl Gustav Jung's psychological theories.

Main Results:

• The study proposes a novel method for persona modeling that accounts for individual facets in different situations.
• The research aims to improve the accuracy and integrity of personality models through comprehensive data integration.
• The developed model is designed to provide a more elaborate and accurate psychological description of individuals.

Conclusions:

• An archetype-based persona modeling approach using heterogeneous big data offers a more comprehensive understanding of individual personality.
• This method addresses the limitations of current automatic personality computing, paving the way for advanced Cyber-I applications.
• Accurate and integrated personality modeling is crucial for developing sophisticated personalized services and digital representations.