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Most of the time, however, subliminal persuasion processes triggered by behavioral cues (rather than the content of the message) play a\u00a0far more important role than most people are aware of. To raise awareness of the different aspects of persuasion (<jats:italic>how<\/jats:italic> and <jats:italic>what<\/jats:italic>), we present a\u00a0multimodal dialog system consisting of two virtual agents that use synthetic speech in a\u00a0discussion setting to present pros and cons to a\u00a0user on a\u00a0controversial topic. The agents are able to adapt their emotions based on explicit feedback of the users to increase their perceived persuasiveness during interaction using Reinforcement Learning.<\/jats:p>","DOI":"10.1007\/s13222-020-00345-9","type":"journal-article","created":{"date-parts":[[2020,6,17]],"date-time":"2020-06-17T14:03:11Z","timestamp":1592402591000},"page":"161-169","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":7,"title":["How to Win Arguments"],"prefix":"10.1007","volume":"20","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-6661-8602","authenticated-orcid":false,"given":"Klaus","family":"Weber","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Niklas","family":"Rach","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wolfgang","family":"Minker","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Elisabeth","family":"Andr\u00e9","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2020,6,16]]},"reference":[{"key":"345_CR1","doi-asserted-by":"publisher","first-page":"341","DOI":"10.1109\/HRI.2013.6483608","volume-title":"2013 8th ACM\/IEEE International Conference on Human-Robot Interaction (HRI)","author":"S Andrist","year":"2013","unstructured":"Andrist S, Spannan E, Mutlu B (2013) Rhetorical robots: making robots more effective speakers using linguistic cues of expertise. 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