{"id":10651,"date":"2018-10-19T15:08:49","date_gmt":"2018-10-19T19:08:49","guid":{"rendered":"https:\/\/michigan.it.umich.edu\/news\/?p=10651"},"modified":"2024-07-08T06:05:43","modified_gmt":"2024-07-08T10:05:43","slug":"the-logic-of-feeling-teaching-computers-to-identify-emotions","status":"publish","type":"post","link":"https:\/\/michigan.it.umich.edu\/news\/2018\/10\/19\/the-logic-of-feeling-teaching-computers-to-identify-emotions\/","title":{"rendered":"The logic of feeling: Teaching computers to identify emotions"},"content":{"rendered":"<div id=\"attachment_10653\" style=\"width: 610px\" class=\"wp-caption aligncenter\"><img loading=\"lazy\" decoding=\"async\" aria-describedby=\"caption-attachment-10653\" class=\"size-full wp-image-10653\" src=\"https:\/\/michigan.it.umich.edu\/news\/wp-content\/uploads\/2018\/10\/EMP-FeaturedContent-e1540493713923.jpg\" alt=\"\" width=\"600\" height=\"399\" \/><p id=\"caption-attachment-10653\" class=\"wp-caption-text\">Emily Mower Provost, associate professor of electrical engineering and computer science. (Joseph Xu, Michigan Engineering)<\/p><\/div>\n<p>Using machine learning to decode the unpredictable world of human emotion might seem unusual. But computer science and engineering associate professor <strong>Emily Mower Provost<\/strong> has discovered a rich trove of data waiting to be analyzed in the ambiguity of human expression.<\/p>\n<p>Mower Provost uses machine learning to help measure emotion, mood, and other aspects of human behavior; for example, she has developed a smartphone app that analyzes the speech of patients with bipolar disorder to track their mood, with the ultimate goal of helping them more effectively manage their health.<\/p>\n<p>&#8220;As a machine learning researcher, we generally expect data examples to be accompanied by clear and unambiguous labels. But in emotion modeling, the whole idea of &#8216;unambiguity&#8217; is invalid,&#8221; says Mower Provost. &#8220;Emotion modeling research asks how we can quantify the ambiguity in human expression and use that information to do something useful.&#8221;<\/p>\n<p><a href=\"https:\/\/news.engin.umich.edu\/2018\/10\/the-logic-of-feeling-teaching-computers-to-identify-emotions\/\"><strong>Read the interview with Mower Provost in Michigan Engineering<\/strong><\/a><strong>.<\/strong><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Using machine learning to decode the unpredictable world of human emotion might seem unusual. But computer science and engineering associate professor Emily Mower Provost has discovered a rich trove of data waiting to be analyzed in the ambiguity of human expression. Mower Provost uses machine learning to help measure emotion, mood, and other aspects of human behavior; for\u2026 <span class=\"read-more\"><a href=\"https:\/\/michigan.it.umich.edu\/news\/2018\/10\/19\/the-logic-of-feeling-teaching-computers-to-identify-emotions\/\">Read More &raquo;<\/a><\/span><\/p>\n","protected":false},"author":1,"featured_media":10653,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_uag_custom_page_level_css":"","_umich_oidc_access":"","_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"_ef_editorial_meta_date_first-draft-date":"","_ef_editorial_meta_paragraph_assignment":"","_ef_editorial_meta_checkbox_needs-photo":"","_ef_editorial_meta_number_word-count":"","footnotes":""},"categories":[5],"tags":[61,290,489,132],"class_list":["post-10651","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-campus-news","tag-ai","tag-coe","tag-health-care","tag-learning"],"uagb_featured_image_src":{"full":["https:\/\/michigan.it.umich.edu\/news\/wp-content\/uploads\/2018\/10\/EMP-FeaturedContent-e1540493713923.jpg",600,399,false],"thumbnail":["https:\/\/michigan.it.umich.edu\/news\/wp-content\/uploads\/2018\/10\/EMP-FeaturedContent-200x133.jpg",200,133,true],"medium":["https:\/\/michigan.it.umich.edu\/news\/wp-content\/uploads\/2018\/10\/EMP-FeaturedContent-300x200.jpg",300,200,true],"medium_large":["https:\/\/michigan.it.umich.edu\/news\/wp-content\/uploads\/2018\/10\/EMP-FeaturedContent-768x511.jpg",665,442,true],"large":["https:\/\/michigan.it.umich.edu\/news\/wp-content\/uploads\/2018\/10\/EMP-FeaturedContent-700x466.jpg",600,399,true],"1536x1536":["https:\/\/michigan.it.umich.edu\/news\/wp-content\/uploads\/2018\/10\/EMP-FeaturedContent-e1540493713923.jpg",600,399,false],"2048x2048":["https:\/\/michigan.it.umich.edu\/news\/wp-content\/uploads\/2018\/10\/EMP-FeaturedContent-e1540493713923.jpg",600,399,false],"excerpt-thumbnail":["https:\/\/michigan.it.umich.edu\/news\/wp-content\/uploads\/2018\/10\/EMP-FeaturedContent-200x140.jpg",200,140,true],"themonic-thumbnail":["https:\/\/michigan.it.umich.edu\/news\/wp-content\/uploads\/2018\/10\/EMP-FeaturedContent-60x42.jpg",60,42,true],"ioslider-thumbnail":["https:\/\/michigan.it.umich.edu\/news\/wp-content\/uploads\/2018\/10\/EMP-FeaturedContent-658x300.jpg",658,300,true],"post-thumbnail":["https:\/\/michigan.it.umich.edu\/news\/wp-content\/uploads\/2018\/10\/EMP-FeaturedContent-665x442.jpg",665,442,true],"400x250-crop":["https:\/\/michigan.it.umich.edu\/news\/wp-content\/uploads\/2018\/10\/EMP-FeaturedContent-e1540493713923.jpg",376,250,false]},"uagb_author_info":{"display_name":"News Staff","author_link":"https:\/\/michigan.it.umich.edu\/news\/author\/mitnewsadm\/"},"uagb_comment_info":0,"uagb_excerpt":"Using machine learning to decode the unpredictable world of human emotion might seem unusual. But computer science and engineering associate professor Emily Mower Provost has discovered a rich trove of data waiting to be analyzed in the ambiguity of human expression. Mower Provost uses machine learning to help measure emotion, mood, and other aspects of&hellip;","_links":{"self":[{"href":"https:\/\/michigan.it.umich.edu\/news\/wp-json\/wp\/v2\/posts\/10651","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/michigan.it.umich.edu\/news\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/michigan.it.umich.edu\/news\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/michigan.it.umich.edu\/news\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/michigan.it.umich.edu\/news\/wp-json\/wp\/v2\/comments?post=10651"}],"version-history":[{"count":5,"href":"https:\/\/michigan.it.umich.edu\/news\/wp-json\/wp\/v2\/posts\/10651\/revisions"}],"predecessor-version":[{"id":10654,"href":"https:\/\/michigan.it.umich.edu\/news\/wp-json\/wp\/v2\/posts\/10651\/revisions\/10654"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/michigan.it.umich.edu\/news\/wp-json\/wp\/v2\/media\/10653"}],"wp:attachment":[{"href":"https:\/\/michigan.it.umich.edu\/news\/wp-json\/wp\/v2\/media?parent=10651"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/michigan.it.umich.edu\/news\/wp-json\/wp\/v2\/categories?post=10651"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/michigan.it.umich.edu\/news\/wp-json\/wp\/v2\/tags?post=10651"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}