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One way to improve user satisfaction and motivation is by demonstrating the robot\u2019s ability to understand user opinions. In this paper, we explore a method that efficiently obtains the concept of user preferences: likes and dislikes. The concept is acquired by complementing a small amount of user preference data observed in dialogues. As a method for efficient collection, we propose a dialogue strategy that creates utterances with the largest expected complementation. Our experimental results with a female-type android robot suggest that the proposed strategy efficiently obtained user preferences and enhanced dialogue satisfaction. In addition, the strength of user motivation (i.e., long-term willingness to communicate with the android) is only positively correlated with the android\u2019s willingness to understand. Our results not only show the effectiveness of our proposed strategy but also suggest a design theory for dialogue robots to stimulate dialogue motivation, although the current results are derived only from a female-type android.\n<\/jats:p>","DOI":"10.1007\/s12369-020-00731-z","type":"journal-article","created":{"date-parts":[[2021,1,7]],"date-time":"2021-01-07T21:14:59Z","timestamp":1610054099000},"page":"1499-1516","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":18,"title":["Female-Type Android\u2019s Drive to Quickly Understand a User\u2019s Concept of Preferences Stimulates Dialogue Satisfaction: Dialogue Strategies for Modeling User\u2019s Concept of Preferences"],"prefix":"10.1007","volume":"13","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-2458-500X","authenticated-orcid":false,"given":"Takahisa","family":"Uchida","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Takashi","family":"Minato","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yutaka","family":"Nakamura","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yuichiro","family":"Yoshikawa","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hiroshi","family":"Ishiguro","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2021,1,7]]},"reference":[{"key":"731_CR1","unstructured":"Bessho F, Harada T, Kuniyoshi Y (2012) Dialog system using real-time crowdsourcing and twitter large-scale corpus. 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