Effects of Personality Traits on Listening-oriented Dialogue

This paper investigates the effects of personality traits on listening-oriented dialogue to gain insight into building automated lis- tening agents. The analysis of the frequency of dialogue act and the dialogue flow using Hidden Markov Models (HMMs) revealed that a di- alogue becomes characteristically different depending on the personality traits of the listeners and the speakers, suggesting that automated listen- ing agents must consider the personality traits of users to become good listeners.