Role play-based question-answering by real users for building chatbots with consistent personalities
Ryuichiro Higashinaka, Masahiro Mizukami, Hidetoshi Kawabata, Emi Yamaguchi, Noritake Adachi, Junji Tomita · 2018
Having consistent personalities is important for chatbots if we want them to be believable.Typically, many questionanswer pairs are prepared by hand for achieving consistent responses; however, the creation of such pairs is costly.In this study, our goal is to collect a large number of question-answer pairs for a particular character by using role playbased question-answering in which multiple users play the roles of certain characters and respond to questions by online users.Focusing on two famous characters, we conducted a large-scale experiment to collect question-answer pairs by using real users.We evaluated the effectiveness of role play-based questionanswering and found that, by using our proposed method, the collected pairs lead to good-quality chatbots that exhibit consistent personalities.