As a learning function, this device which estimates empathetic capacity θE has a machine learning engine learn, for each user (s1-sN), teacher data associating a user characteristic quantity matrix Fnj associating user characteristic quantities (f11-f1J to fN1-fNK) of predetermined user characteristic elements (v1-vJ) with empathetic capacity θn on the basis of item response theory (IRT) in a degree of resonance matrix Tnl associating the degree of resonance (t11-t1L to tN1 to tNL) for content c1 (c1-cL). As an operation function, the device calculates a user characteristic quantity matrix FE associating the characteristic quantities (fE1-fEJ) of each predetermined user characteristic element (v1-vJ) for users SE which are the subject of estimation, and the machine learning engine inputs the user characteristic quantity matrix FE for users SE which are the subject of estimation and outputs the empathetic capacity θE.
PROGRAM, DEVICE AND METHOD FOR ESTIMATING EMPATHETIC INFLUENCE OF USERS WITH RESPECT TO CONTENT