In this study, we develop a dialogue system for a dialogue robot competition. In the system, the characteristics of sightseeing spots are expressed as "attribute vectors" in advance, and the user is questioned on the different attributes of the two candidate spots. Consequently, the system can make recommendations based on user intentions. A dialogue experiment is conducted during a preliminary round of competition. The overall satisfaction score obtained is 40.1 out of 63 points, which is a reasonable result. Analysis of the relationship between the system behavior and satisfaction scores reveals that satisfaction increases when the system correctly understands the user intention and responds appropriately. However, a negative correlation is observed between the number of user utterances and the satisfaction score. This implies that inappropriate responses reduce the usefulness of the system as a consultation partner.

翻译：在此研究中,我们开发了一个对话机器人竞争的对话系统。在这个系统中,观光点的特征是提前以“归属矢量”表示,用户被问及两个候选点的不同属性。因此,该系统可以基于用户意图提出建议。在初步竞争中进行了对话实验。在63个点中,总体满意度分是40.1分,这是一个合理的结果。对系统行为和满意度分数之间关系的分析表明,当系统正确理解用户意图并做出适当反应时,满意度会增加。然而,在用户言论的数量和满意度分之间观察到了负关系,这意味着不当反应会降低系统作为协商伙伴的效用。