FEELING GENERATION METHOD AND FEELING GENERATOR

摘要

PROBLEM TO BE SOLVED: To advance an interaction accompanied by the feelings of self- confidence and enthusiasm for a recommendation in an information retrieval and presentation device. SOLUTION: A proposal item retrieval part 12 refers to a user preference model 13 and allocates the degree of preference to a proposal item matching the input condition of a user and a self-confidence degree calculation part 14 refers to a self-confidence degree model 15 and calculates the self-confidence degree of the recommendation to the individual proposal items. A keyword extraction part 20 extracts a keyword from user's speech and a user feeling interpretation part 21 decides the user's response of affirmation or negation and the user's feeling of excitement and dispiritedness. A feeling generation part 16 refers to the self-confidence degrees of the proposal items, the user's response of the affirmation or the negation and an agent feeling model 17 and decides an agent feeling. An output data generation part 18 generates the proposal sentence and reaction sentence of an agent accompanied by the feeling and the operation and expression of a CG character.