论文标题
基于旅行社机器人属性向量的口语对话系统
Spoken Dialogue System Based on Attribute Vector for Travel Agent Robot
论文作者
论文摘要
在这项研究中，我们为对话机器人竞争开发了对话系统。在系统中，观光点的特征提前表示为“属性向量”，并且对两个候选点的不同属性进行了质疑。因此，系统可以根据用户意图提出建议。对话实验是在初步竞争中进行的。获得的总体满意度得分为63分中的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响应时，满意度会提高。但是，在用户话语的数量和满意度得分之间观察到负相关。这意味着不适当的响应降低了系统作为咨询合作伙伴的有用性。
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.
