{"id":943,"date":"2020-04-22T01:27:48","date_gmt":"2020-04-22T01:27:48","guid":{"rendered":"http:\/\/sites.rutgers.edu\/nb-senior-exhibits\/?page_id=943"},"modified":"2020-04-23T21:45:29","modified_gmt":"2020-04-23T21:45:29","slug":"cheng-yuan","status":"publish","type":"page","link":"https:\/\/sites.rutgers.edu\/nb-senior-exhibits\/partners\/aresty-research-virtual-symposium-2020\/cheng-yuan\/","title":{"rendered":"Cheng, Yuan: GAN (Generative Adversarial Networks) Method Applied for Quality Analysis of 3D Printed Objects"},"content":{"rendered":"<p><a href=\"http:\/\/sites.rutgers.edu\/nb-senior-exhibits\/wp-content\/uploads\/sites\/442\/2020\/04\/Yuan-Cheng-1.pdf\" target=\"_blank\" rel=\"noopener noreferrer\"><img loading=\"lazy\" decoding=\"async\" class=\"size-medium wp-image-722 alignleft\" src=\"http:\/\/sites.rutgers.edu\/nb-senior-exhibits\/wp-content\/uploads\/sites\/442\/2020\/04\/Yuan-Cheng_thumbnail-300x225.png\" alt=\"\" width=\"300\" height=\"225\" srcset=\"https:\/\/sites.rutgers.edu\/nb-senior-exhibits\/wp-content\/uploads\/sites\/442\/2020\/04\/Yuan-Cheng_thumbnail-300x225.png 300w, https:\/\/sites.rutgers.edu\/nb-senior-exhibits\/wp-content\/uploads\/sites\/442\/2020\/04\/Yuan-Cheng_thumbnail-1024x768.png 1024w, https:\/\/sites.rutgers.edu\/nb-senior-exhibits\/wp-content\/uploads\/sites\/442\/2020\/04\/Yuan-Cheng_thumbnail-768x576.png 768w, https:\/\/sites.rutgers.edu\/nb-senior-exhibits\/wp-content\/uploads\/sites\/442\/2020\/04\/Yuan-Cheng_thumbnail.png 1067w\" sizes=\"(max-width: 300px) 100vw, 300px\" \/><\/a><br \/>\n<strong><a class=\"btn btn-primary\" href=\"https:\/\/rutgers.box.com\/s\/qb8ycc5g0zylvltnixw4169awk4htf23\" target=\"_blank\" rel=\"noopener noreferrer\">View video presentation<\/a><\/strong><\/p>\n<p><strong>Title:<\/strong> GAN (Generative Adversarial Networks) Method Applied for Quality Analysis of 3D Printed Objects<\/p>\n<p><strong>Name:<\/strong> Yuan Cheng<\/p>\n<p><strong>Major:<\/strong> Electricl Engineering<\/p>\n<p><strong>School affiliation:<\/strong> School of Engineering<\/p>\n<p><strong>Programs:<\/strong> Aresty &#8211; RA Program<\/p>\n<p><strong>Other contributors:<\/strong> Weihong Guo<\/p>\n<p><strong>Abstract:<\/strong> As children learn about the world around them, they turn to familiar people within their own community in order to obtain the most accurate information. When learning about object labels in particular, children recruit both linguistic and extralinguistic information. Previous research has shown that some of this extralinguistic information includes the trustworthiness and accuracy of the speaker, and the speaker\u2019s accent as an indication of in-group\/out-group status (Corriveau et al. 2013). In this study, we ask whether these external markers of speaker status can also be recruited for learning about properties of objects which go beyond objective truth-conditional meaning. Here, we extend the findings of Corriveau, Kinzler, and Harris (2013), beyond simple object labels to objective and subjective adjectives, in particular, predicates of personal taste (PPTs) such as fun or yummy. While assertions such as &#8220;That is a strawberry&#8221; and &#8220;That flower is yellow&#8221; are objective statements with distinct truth values, being either true or not, assertions such as &#8220;That is fun&#8221; and &#8220;That is not fun&#8221; can both be true, if \u2018anchored\u2019 to two different speakers, resulting in a so-called faultless disagreement. In an experimental study with monolingual English preschoolers (ages three to five) and adults, we presented participants with two speakers: one with a familiar, American English accent and the other with an unfamiliar, Spanish accent. At the same time, we strategically manipulated speaker accuracy through the labeling of familiar objects and their properties. We find that while adults and children may initially prefer to hear from the familiar speaker, they trust the accurate speaker to learn the label of a novel object, regardless of accent. However, in instances of faultless disagreement, adults are moderately influenced by accent, while children are influenced by the positive valence of the adjective, appearing to prefer the speaker who said something nice about the object. Thus, we find that accent, accuracy, and social norms all play a role as children rely on speakers to learn about the world around them.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>View video presentation Title: GAN (Generative Adversarial Networks) Method Applied for Quality Analysis of 3D Printed Objects Name: Yuan Cheng Major: Electricl Engineering School affiliation: School of Engineering Programs: Aresty &hellip; <a href=\"https:\/\/sites.rutgers.edu\/nb-senior-exhibits\/partners\/aresty-research-virtual-symposium-2020\/cheng-yuan\/\" class=\"\">Read More<\/a><\/p>\n","protected":false},"author":970,"featured_media":0,"parent":441,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"template-custom.php","meta":{"_acf_changed":false,"footnotes":""},"class_list":["post-943","page","type-page","status-publish","hentry"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v23.5 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Cheng, Yuan: GAN (Generative Adversarial Networks) Method Applied for Quality Analysis of 3D Printed Objects - Senior Exhibits<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/sites.rutgers.edu\/nb-senior-exhibits\/partners\/aresty-research-virtual-symposium-2020\/cheng-yuan\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Cheng, Yuan: GAN (Generative Adversarial Networks) Method Applied for Quality Analysis of 3D Printed Objects - Senior Exhibits\" \/>\n<meta property=\"og:description\" content=\"View video presentation Title: GAN (Generative Adversarial Networks) Method Applied for Quality Analysis of 3D Printed Objects Name: Yuan Cheng Major: Electricl Engineering School affiliation: School of Engineering Programs: Aresty &hellip; 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