Learning Dialogue Strategies for Interview Dialogue Systems that Can Engage in Small Talk

Autor:	Takahiro Kobori, Tomoaki Nakamura, Mikio Nakano
Rok vydání:	2019
Předmět:	Focus (computing) InformationSystems_MODELSANDPRINCIPLES Small talk Human–computer interaction Computer science Frame (networking) Selection strategy Selection (linguistics) Dialogue management Utterance
Zdroj:	Lecture Notes in Electrical Engineering ISBN: 9789811394423 IWSDS
Popis:	This paper proposes a method with which an interview dialogue system can learn user-friendly dialogue strategies. Conventional interview dialogue systems mainly focus on collecting the user’s information and simply repeat questions. We have previously proposed a method for improving user impressions by engaging in small talk during interviews that performs frame-based dialogue management and generates small-talk utterances after the user answers the system’s questions. However, the utterance selection strategy in the method was fixed, making it difficult to give users a good impression of the system. This paper proposes a method for learning strategies for selecting system utterances based on a corpus of dialogues between human users and a text-based interview dialogue system in which each system utterance was evaluated by human annotators. This paper also reports the results of a user study that compared the proposed method with fixed utterance selection strategies.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::6e7be55f46d28905481453d95af8bcf8 https://doi.org/10.1007/978-981-13-9443-0_27 Zobrazit plný text záznamu