{"id":6005,"date":"2024-09-20T15:37:53","date_gmt":"2024-09-20T15:37:53","guid":{"rendered":"https:\/\/www.tun.com\/home\/?p=6005"},"modified":"2024-10-16T20:33:16","modified_gmt":"2024-10-16T20:33:16","slug":"groundbreaking-ai-can-now-read-emotions-offering-new-hope-for-mental-health-and-personalized-services","status":"publish","type":"post","link":"https:\/\/www.tun.com\/home\/groundbreaking-ai-can-now-read-emotions-offering-new-hope-for-mental-health-and-personalized-services\/","title":{"rendered":"Groundbreaking AI Can Now Read Emotions, Offering New Hope for Mental Health and Personalized Services"},"content":{"rendered":"\n<div class=\"wp-block-group\"><div class=\"wp-block-group__inner-container is-layout-constrained wp-block-group-is-layout-constrained\">\n<div class=\"wp-block-uagb-blockquote uagb-block-e7eb3fc3 uagb-blockquote__skin-border uagb-blockquote__stack-img-none\"><blockquote class=\"uagb-blockquote\"><div class=\"uagb-blockquote__content\">New study has successfully combined traditional psychology and AI to develop emotion-recognition technology. This technology holds the promise of transforming health care, education and personalized customer experiences. <\/div><footer><div class=\"uagb-blockquote__author-wrap uagb-blockquote__author-at-left\"><\/div><\/footer><\/blockquote><\/div>\n\n\n\n<div class=\"wp-block-group is-content-justification-space-between is-nowrap is-layout-flex wp-container-core-group-is-layout-0dfbf163 wp-block-group-is-layout-flex\"><div style=\"font-size:16px;\" class=\"has-text-align-left wp-block-post-author\"><div class=\"wp-block-post-author__content\"><p class=\"wp-block-post-author__name\">The University Network<\/p><\/div><\/div>\n\n\n<div class=\"wp-block-uagb-social-share uagb-social-share__outer-wrap uagb-social-share__layout-horizontal uagb-block-ee584a31\">\n<div class=\"wp-block-uagb-social-share-child uagb-ss-repeater uagb-ss__wrapper uagb-block-ec619ce7\"><span class=\"uagb-ss__link\" data-href=\"https:\/\/www.facebook.com\/sharer.php?u=\" tabindex=\"0\" role=\"button\" aria-label=\"facebook\"><span class=\"uagb-ss__source-wrap\"><span class=\"uagb-ss__source-icon\"><svg xmlns=\"https:\/\/www.w3.org\/2000\/svg\" viewBox=\"0 0 512 512\"><path d=\"M504 256C504 119 393 8 256 8S8 119 8 256c0 123.8 90.69 226.4 209.3 245V327.7h-63V256h63v-54.64c0-62.15 37-96.48 93.67-96.48 27.14 0 55.52 4.84 55.52 4.84v61h-31.28c-30.8 0-40.41 19.12-40.41 38.73V256h68.78l-11 71.69h-57.78V501C413.3 482.4 504 379.8 504 256z\"><\/path><\/svg><\/span><\/span><\/span><\/div>\n\n\n\n<div class=\"wp-block-uagb-social-share-child uagb-ss-repeater uagb-ss__wrapper uagb-block-32d99934\"><span class=\"uagb-ss__link\" data-href=\"https:\/\/twitter.com\/share?url=\" tabindex=\"0\" role=\"button\" aria-label=\"twitter\"><span class=\"uagb-ss__source-wrap\"><span class=\"uagb-ss__source-icon\"><svg xmlns=\"https:\/\/www.w3.org\/2000\/svg\" viewBox=\"0 0 512 512\"><path d=\"M389.2 48h70.6L305.6 224.2 487 464H345L233.7 318.6 106.5 464H35.8L200.7 275.5 26.8 48H172.4L272.9 180.9 389.2 48zM364.4 421.8h39.1L151.1 88h-42L364.4 421.8z\"><\/path><\/svg><\/span><\/span><\/span><\/div>\n\n\n\n<div class=\"wp-block-uagb-social-share-child uagb-ss-repeater uagb-ss__wrapper uagb-block-1d136f14\"><span class=\"uagb-ss__link\" data-href=\"https:\/\/www.linkedin.com\/shareArticle?url=\" tabindex=\"0\" role=\"button\" aria-label=\"linkedin\"><span class=\"uagb-ss__source-wrap\"><span class=\"uagb-ss__source-icon\"><svg xmlns=\"https:\/\/www.w3.org\/2000\/svg\" viewBox=\"0 0 448 512\"><path d=\"M416 32H31.9C14.3 32 0 46.5 0 64.3v383.4C0 465.5 14.3 480 31.9 480H416c17.6 0 32-14.5 32-32.3V64.3c0-17.8-14.4-32.3-32-32.3zM135.4 416H69V202.2h66.5V416zm-33.2-243c-21.3 0-38.5-17.3-38.5-38.5S80.9 96 102.2 96c21.2 0 38.5 17.3 38.5 38.5 0 21.3-17.2 38.5-38.5 38.5zm282.1 243h-66.4V312c0-24.8-.5-56.7-34.5-56.7-34.6 0-39.9 27-39.9 54.9V416h-66.4V202.2h63.7v29.2h.9c8.9-16.8 30.6-34.5 62.9-34.5 67.2 0 79.7 44.3 79.7 101.9V416z\"><\/path><\/svg><\/span><\/span><\/span><\/div>\n<\/div>\n<\/div>\n<\/div><\/div>\n\n\n\n<p><\/p>\n\n\n\n<p>In a groundbreaking fusion of traditional psychology and advanced artificial intelligence (AI) techniques, a researcher from the School of Computer Science and Technology at\u00a0East China Normal University in Shanghai is making significant strides in the field of emotion quantification. <\/p>\n\n\n\n<p><a href=\"https:\/\/www.sciopen.com\/article\/10.26599\/AIR.2024.9150040\" title=\"\">Published<\/a> in the journal CAAI Artificial Intelligence Research, the new study promises to revolutionize fields such as health care, education and customer service by enabling AI to recognize and respond to human emotions accurately.<\/p>\n\n\n\n<p>Emotions are intricate and often elusive to even the best human judgment. However, this new technology aims to break down these complexities into recognizable patterns using AI. <\/p>\n\n\n\n<p>&#8220;This technology has the potential to transform fields such as health care, education and customer service, facilitating personalized experiences and enhanced comprehension of human emotions,&#8221; lead author Feng Liu said in a <a href=\"https:\/\/www.eurekalert.org\/news-releases\/1058711\" title=\"\">news release<\/a>.<\/p>\n\n\n\n<p>Liu has integrated various methods, including gesture recognition, facial emotion recognition (FER) and multi-modal emotional recognition, to develop this advanced technology. The approach also considers physiological factors, such as brain electrical activity monitored through EEG scans, eye movement, heart rate variability and skin response, to create a comprehensive emotional profile.<\/p>\n\n\n\n<p>By combining different sensory inputs \u2014 sight, hearing and touch \u2014 the AI can gain a more nuanced understanding of human emotions. This multi-modal approach is believed to be a cornerstone in developing a genuinely accurate model of emotional states.<\/p>\n\n\n\n<p>&#8220;It is believed that interdisciplinary collaboration between AI, psychology, psychiatry and other fields will be key in achieving this goal and unlocking the full potential of emotion quantification for the benefit of society,&#8221; Liu added.<\/p>\n\n\n\n<p><\/p>\n\n\n\n<p>The potential applications are vast and transformative, especially in mental health care. Accurate emotion recognition could allow for real-time monitoring of mental health, providing personalized support without human intervention. The technology could also be crucial in educational settings, helping to tailor learning experiences to individual emotional states, enhancing student engagement and outcomes.<\/p>\n\n\n\n<p>However, the deployment of such technology does not come without its challenges. Ensuring safety, transparency and privacy is paramount, particularly when dealing with sensitive data related to medical and psychological conditions. As the technology gets refined, strict data handling practices and privacy measures will be essential to protect users.<\/p>\n\n\n\n<p>Moreover, cultural sensitivity and adaptability will be key to the AI&#8217;s success globally. Ensuring that the technology can understand and respect cultural nuances will be crucial in maintaining its reliability and effectiveness.<\/p>\n\n\n\n<p><\/p>\n\n\n\n<p>As AI continues to evolve, this emotional recognition technology stands as a promising advancement that could significantly enhance the quality of human life, reaffirming the critical role of interdisciplinary collaboration in pioneering innovative solutions.<\/p>\n\n\n\n<p><\/p>\n","protected":false},"excerpt":{"rendered":"<p>In a groundbreaking fusion of traditional psychology and advanced artificial intelligence (AI) techniques, a researcher from the School of Computer Science and Technology at\u00a0East China Normal University in Shanghai is making significant strides in the field of emotion quantification. Published in the journal CAAI Artificial Intelligence Research, the new study promises to revolutionize fields such [&hellip;]<\/p>\n","protected":false},"author":3,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"single-no-separators","format":"standard","meta":{"_acf_changed":false,"_uag_custom_page_level_css":"","_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"footnotes":""},"categories":[8,13],"tags":[],"class_list":["post-6005","post","type-post","status-publish","format-standard","hentry","category-ai","category-mental-health"],"acf":[],"aioseo_notices":[],"uagb_featured_image_src":{"full":false,"thumbnail":false,"medium":false,"medium_large":false,"large":false,"1536x1536":false,"2048x2048":false},"uagb_author_info":{"display_name":"The University Network","author_link":"https:\/\/www.tun.com\/home\/author\/funky_junkie\/"},"uagb_comment_info":0,"uagb_excerpt":"In a groundbreaking fusion of traditional psychology and advanced artificial intelligence (AI) techniques, a researcher from the School of Computer Science and Technology at\u00a0East China Normal University in Shanghai is making significant strides in the field of emotion quantification. Published in the journal CAAI Artificial Intelligence Research, the new study promises to revolutionize fields such&hellip;","_links":{"self":[{"href":"https:\/\/www.tun.com\/home\/wp-json\/wp\/v2\/posts\/6005","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.tun.com\/home\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.tun.com\/home\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.tun.com\/home\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/www.tun.com\/home\/wp-json\/wp\/v2\/comments?post=6005"}],"version-history":[{"count":11,"href":"https:\/\/www.tun.com\/home\/wp-json\/wp\/v2\/posts\/6005\/revisions"}],"predecessor-version":[{"id":6063,"href":"https:\/\/www.tun.com\/home\/wp-json\/wp\/v2\/posts\/6005\/revisions\/6063"}],"wp:attachment":[{"href":"https:\/\/www.tun.com\/home\/wp-json\/wp\/v2\/media?parent=6005"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.tun.com\/home\/wp-json\/wp\/v2\/categories?post=6005"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.tun.com\/home\/wp-json\/wp\/v2\/tags?post=6005"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}