{"id":12979,"date":"2024-06-20T16:15:39","date_gmt":"2024-06-20T16:15:39","guid":{"rendered":"https:\/\/dailyai.com\/?p=12979"},"modified":"2024-06-21T15:12:06","modified_gmt":"2024-06-21T15:12:06","slug":"ai-system-can-predict-how-anxious-you-are-from-reactions-to-photos","status":"publish","type":"post","link":"https:\/\/dailyai.com\/fr\/2024\/06\/ai-system-can-predict-how-anxious-you-are-from-reactions-to-photos\/","title":{"rendered":"Un syst\u00e8me d'IA peut pr\u00e9dire votre degr\u00e9 d'anxi\u00e9t\u00e9 \u00e0 partir de vos r\u00e9actions \u00e0 des photos"},"content":{"rendered":"

Imaginez que l'on puisse pr\u00e9dire le niveau d'anxi\u00e9t\u00e9 d'une personne en lui demandant d'\u00e9valuer quelques images et de r\u00e9pondre \u00e0 des questions simples. <\/strong><\/p>\n

C'est exactement ce que des chercheurs de l'universit\u00e9 de Cincinnati et de l'universit\u00e9 Northwestern ont r\u00e9alis\u00e9 avec leur syst\u00e8me \"Comp Cog AI\".\u00a0<\/span><\/p>\n

En combinant l'IA et la science du traitement de l'information par l'esprit, ils ont cr\u00e9\u00e9 un outil capable d'identifier avec pr\u00e9cision les personnes susceptibles de souffrir d'anxi\u00e9t\u00e9.\u00a0<\/span><\/p>\n

Les <\/span>\u00e9tude<\/span><\/a>publi\u00e9e dans la revue Mental Health Research, a impliqu\u00e9 plus de 3 000 participants de tous les \u00c9tats-Unis. <\/span><\/p>\n

Chaque personne a \u00e9valu\u00e9 une s\u00e9rie d'images l\u00e9g\u00e8rement \u00e9motionnelles tir\u00e9es de l'International Affective Picture System (IAPS) et a fourni des informations de base sur elle-m\u00eame, telles que son \u00e2ge et son sentiment de solitude.\u00a0<\/span><\/p>\n

L'IAPS a \u00e9t\u00e9 d\u00e9velopp\u00e9 par le Centre d'\u00e9tude des \u00e9motions et de l'attention de l'Universit\u00e9 de Floride. Il s'agit d'un ensemble normalis\u00e9 de photographies dont le contenu \u00e9motionnel est \u00e9valu\u00e9 en termes de valence (caract\u00e8re agr\u00e9able), d'excitation (intensit\u00e9) et de dominance (contr\u00f4le).<\/p>\n

\"Les
Exemple d'image tir\u00e9e de l'International Affective Picture System (IAPS). Source : Mental Health Research.<\/figcaption><\/figure>\n

Le syst\u00e8me d'IA a ensuite analys\u00e9 ces donn\u00e9es, en recherchant des sch\u00e9mas dans la mani\u00e8re dont les personnes r\u00e9agissaient aux images et comment ces r\u00e9actions \u00e9taient li\u00e9es \u00e0 leur niveau d'anxi\u00e9t\u00e9.\u00a0<\/span><\/p>\n

Apr\u00e8s entra\u00eenement, le syst\u00e8me d'IA Comp Cog a pu pr\u00e9dire l'anxi\u00e9t\u00e9 avec une pr\u00e9cision allant jusqu'\u00e0 81%, ce qui laisse esp\u00e9rer un avenir o\u00f9 les probl\u00e8mes de sant\u00e9 mentale pourront \u00eatre identifi\u00e9s \u00e0 l'aide de syst\u00e8mes l\u00e9gers en libre-service.\u00a0<\/span><\/p>\n

En tant qu'auteur principal, Sumra Bari <\/span>explique<\/span><\/a>Nous avons utilis\u00e9 des ressources informatiques minimales et un petit ensemble de variables pour pr\u00e9dire les niveaux d'anxi\u00e9t\u00e9. Un ensemble important de ces variables quantifie des processus importants pour le jugement\".<\/span><\/p>\n

En savoir plus sur l'\u00e9tude<\/h2>\n

Voici plus d'informations sur le fonctionnement de l'\u00e9tude :<\/p>\n

    \n
  1. Collecte de donn\u00e9es<\/b>: Les participants ont rempli une t\u00e2che d'\u00e9valuation d'images, attribuant des notes de -3 (n'aime pas beaucoup) \u00e0 +3 (aime beaucoup) \u00e0 48 images l\u00e9g\u00e8rement \u00e9motionnelles tir\u00e9es de l'IAPS. Ils ont \u00e9galement r\u00e9pondu \u00e0 des questions sur leur \u00e2ge, leur perception de la solitude et des informations d\u00e9mographiques.<\/span><\/li>\n
  2. Extraction des caract\u00e9ristiques<\/b>: Le syst\u00e8me d'IA a extrait 15 variables de jugement cl\u00e9s des donn\u00e9es d'\u00e9valuation des images, telles que l'aversion pour la perte, l'aversion pour le risque et la coh\u00e9rence entre l'aversion pour la r\u00e9compense et l'aversion pour le risque. Ces variables quantifient les biais dans les jugements de r\u00e9compense\/aversion et ont \u00e9t\u00e9 associ\u00e9es \u00e0 des syst\u00e8mes c\u00e9r\u00e9braux impliqu\u00e9s \u00e0 la fois dans le jugement et l'anxi\u00e9t\u00e9.<\/span><\/li>\n
  3. Formation et pr\u00e9diction de l'IA<\/b>: Les chercheurs ont utilis\u00e9 les algorithmes d'apprentissage automatique Random Forest et Random Forest \u00e9quilibr\u00e9 pour former le syst\u00e8me d'IA sur un sous-ensemble de donn\u00e9es. L'IA a utilis\u00e9 les variables de jugement et les facteurs contextuels pour pr\u00e9dire le niveau d'anxi\u00e9t\u00e9 de chaque participant, tel que mesur\u00e9 par la partie anxi\u00e9t\u00e9 d'\u00e9tat de l'Inventaire d'anxi\u00e9t\u00e9 de l'\u00c9tat-Trait (STAI).<\/span><\/li>\n
  4. \u00c9valuation et interpr\u00e9tation des mod\u00e8les<\/b>: Le syst\u00e8me d'IA form\u00e9 a \u00e9t\u00e9 test\u00e9 sur les donn\u00e9es restantes afin d'\u00e9valuer sa pr\u00e9cision, sa sensibilit\u00e9 et sa sp\u00e9cificit\u00e9 dans la pr\u00e9diction des niveaux d'anxi\u00e9t\u00e9. Les chercheurs ont \u00e9galement effectu\u00e9 des analyses de m\u00e9diation et de mod\u00e9ration pour comprendre comment les variables de jugement et les facteurs contextuels interagissaient pour mod\u00e9liser l'anxi\u00e9t\u00e9.<\/span><\/li>\n<\/ol>\n

    Les quatre variables pr\u00e9dictives les plus importantes - l'\u00e2ge, la solitude, le revenu du m\u00e9nage et la situation professionnelle - ont contribu\u00e9 \u00e0 hauteur de 29-31% au pouvoir pr\u00e9dictif du mod\u00e8le, tandis que les 15 variables de jugement ont contribu\u00e9 collectivement \u00e0 hauteur de 55-61%.<\/span><\/p>\n

    Aggelos Katsaggelos, coauteur principal de l'\u00e9tude, a soulign\u00e9 l'importance de l'approche adopt\u00e9e, en d\u00e9clarant : \"L'utilisation d'une t\u00e2che d'\u00e9valuation d'images avec des variables contextuelles qui affectent le jugement peut sembler simple, mais la compr\u00e9hension des sch\u00e9mas de pr\u00e9f\u00e9rence nous permet de d\u00e9couvrir les \u00e9l\u00e9ments essentiels d'un grand nombre de comportements.\"<\/span><\/p>\n

    Les chercheurs envisagent de d\u00e9velopper la technologie Comp Cog AI pour en faire une application conviviale destin\u00e9e aux prestataires de soins de sant\u00e9, aux h\u00f4pitaux et m\u00eame \u00e0 l'arm\u00e9e, afin d'identifier rapidement les personnes pr\u00e9sentant un risque \u00e9lev\u00e9 d'anxi\u00e9t\u00e9.\u00a0<\/span><\/p>\n

    Comme le souligne Bari, \"la t\u00e2che d'\u00e9valuation des images peut \u00eatre utilis\u00e9e pour produire des instantan\u00e9s quotidiens et impartiaux de l'\u00e9tat de sant\u00e9 mentale d'une personne sans poser de questions directes susceptibles de d\u00e9clencher des sentiments n\u00e9gatifs ou d\u00e9rangeants\".\u00a0<\/span><\/p>\n

    Des recherches ant\u00e9rieures ont exploit\u00e9 l'IA pour aider \u00e0 diagnostiquer la schizophr\u00e9nie<\/a>Des outils ont \u00e9t\u00e9 mis au point pour offrir une th\u00e9rapie par l'IA aux personnes souffrant de troubles mentaux. par le biais d'avatars num\u00e9riques<\/a>.\u00a0<\/span><\/p>","protected":false},"excerpt":{"rendered":"

    Imaginez que vous puissiez pr\u00e9dire le niveau d'anxi\u00e9t\u00e9 d'une personne en lui demandant d'\u00e9valuer quelques images et de r\u00e9pondre \u00e0 quelques questions simples. C'est exactement ce que des chercheurs de l'universit\u00e9 de Cincinnati et de l'universit\u00e9 Northwestern ont r\u00e9alis\u00e9 avec leur syst\u00e8me \"Comp Cog AI\". En combinant l'IA et la science du traitement de l'information par l'esprit, ils ont cr\u00e9\u00e9 un outil capable d'identifier avec pr\u00e9cision les personnes susceptibles de souffrir d'anxi\u00e9t\u00e9. L'\u00e9tude, publi\u00e9e dans Mental Health Research, a impliqu\u00e9 plus de 3 000 participants de tous les \u00c9tats-Unis. Chaque personne a \u00e9valu\u00e9 une s\u00e9rie d'images l\u00e9g\u00e8rement \u00e9motionnelles tir\u00e9es de l'International Affective Picture System (IAPS) et de l'International Affective Picture System (IAPS).<\/p>","protected":false},"author":2,"featured_media":13004,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[88],"tags":[178],"class_list":["post-12979","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ethics","tag-medicine"],"yoast_head":"\nAI system can predict how anxious you are from reactions to photos | DailyAI<\/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:\/\/dailyai.com\/fr\/2024\/06\/ai-system-can-predict-how-anxious-you-are-from-reactions-to-photos\/\" \/>\n<meta property=\"og:locale\" content=\"fr_FR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"AI system can predict how anxious you are from reactions to photos | DailyAI\" \/>\n<meta property=\"og:description\" content=\"Imagine being able to predict someone’s anxiety level just by having them rate a few pictures and answer some simple questions. That’s exactly what researchers from the University of Cincinnati and Northwestern University have accomplished with their “Comp Cog AI” system.\u00a0 By combining AI with the science of how our minds process information, they’ve created a tool that can accurately identify people who might be struggling with anxiety.\u00a0 The study, published in Mental Health Research, involved over 3,000 participants from across the US. Each person rated a series of mildly emotional images from the International Affective Picture System (IAPS) and\" \/>\n<meta property=\"og:url\" content=\"https:\/\/dailyai.com\/fr\/2024\/06\/ai-system-can-predict-how-anxious-you-are-from-reactions-to-photos\/\" \/>\n<meta property=\"og:site_name\" content=\"DailyAI\" \/>\n<meta property=\"article:published_time\" content=\"2024-06-20T16:15:39+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2024-06-21T15:12:06+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/dailyai.com\/wp-content\/uploads\/2024\/06\/DALL\u00b7E-2024-06-20-17.05.33-An-AI-system-analyzing-a-series-of-photos-to-predict-anxiety-levels.-The-scene-includes-a-computer-screen-displaying-multiple-facial-reactions-in-phot.webp\" \/>\n\t<meta property=\"og:image:width\" content=\"1792\" \/>\n\t<meta property=\"og:image:height\" content=\"1024\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/webp\" \/>\n<meta name=\"author\" content=\"Sam 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