Method for predicting user personality using pre-obtained personality indicators and time-series information

A personality prediction system comprising:

• a first acquisition unit configured to acquire personality indicators representing personalities of a user;
• a second acquisition unit configured to acquire external features of the user as time-series data;
• a training unit configured to train a personality prediction model with correlations between the acquired external features and the personality indicators;
• and
• a prediction unit configured to predict personality indicators of the user from the external features of the user by using the trained personality prediction model.

A personality prediction method comprising:

• a step of acquiring external features of a user;
• and
• a step of predicting personality indicators of the user from the external features of the user by using a personality prediction model,
• wherein the personality prediction model is a model that learns correlations between external features acquired as time-series data and pre-acquired personality indicators.