Evaluation of Preference on Context-Aware Utterances based on Personality Traits using a Conversational Android Robot System

With recent technological improvements, the performance of conversational robots such as context-aware dialogue is expected to be dramatically enhanced. While context-aware utterance is considered one of the crucial functions of conversational robots, only a few studies investigate the relationship between context awareness and user preference. As is the case with human social relationships, human-robot interactions are under the effect of user’s attributes such as personality, and thus considering these factors of users is essential to continue interacting with robots. In this paper, we evaluate the preference for context awareness based on personality trait effects in an open-domain dialogue using a conversational android robot system. Two types of utterances, context-aware and context-free, are implemented in the robot system, and the participants talk with and evaluate our conversational system. The preference for two systems and the personality traits of each participant are collected. We analyze the relationship between preferences and personalities. The results suggest that the participants’ preference for whether an utterance is context-aware or context-free is distinguished by some personality traits.