Man-Machine Interaction Improvement by Means of Automatic Human Personality Identification
Autorzy/Authors: Ryszard Tadeusiewicz, Adrian Horzyk
Wydawnictwo/Publisher: Springer Verlag, LNCS/LNAI, 2014 (to appear)
Abstract:
Creators of numerous information system frequently concentrate on the semantic aspects of communication during planning and forming of man-machine interactions. Meanwhile emotions and adequate reactions to needs play equally essential role as rational reasoning when judge intelligence of a partner. Intelligent behaviors and reactions usually deliberately affect the partner's needs. Therefore a computer could be accepted as an intelligent partner if it considers human needs affecting emotions. This paper presents a new method of automatic human needs recognition based on the personality typology that is described using characteristic verbal expressions. It enables to perform automatic passive classification of man personality by means of psycholinguistic analysis during typical merit man-machine communication.
Keywords:
man-machine interaction; natural language interfaces; emotional factor; psychological issues; human personality recognition.