{"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\/es\/2024\/06\/ai-system-can-predict-how-anxious-you-are-from-reactions-to-photos\/","title":{"rendered":"Un sistema de inteligencia artificial puede predecir tu nivel de ansiedad a partir de tus reacciones ante las fotos"},"content":{"rendered":"

Imagina poder predecir el nivel de ansiedad de alguien con s\u00f3lo hacerle valorar unas cuantas im\u00e1genes y responder a unas sencillas preguntas. <\/strong><\/p>\n

Eso es exactamente lo que han conseguido investigadores de la Universidad de Cincinnati y la Universidad Northwestern con su sistema \"Comp Cog AI\".\u00a0<\/span><\/p>\n

Combinando la inteligencia artificial con la ciencia que estudia c\u00f3mo procesa la informaci\u00f3n nuestra mente, han creado una herramienta capaz de identificar con precisi\u00f3n a las personas que pueden padecer ansiedad.\u00a0<\/span><\/p>\n

En <\/span>estudiar<\/span><\/a>El estudio, publicado en Mental Health Research, cont\u00f3 con m\u00e1s de 3.000 participantes de todo Estados Unidos. <\/span><\/p>\n

Cada persona valor\u00f3 una serie de im\u00e1genes ligeramente emotivas del Sistema Internacional de Im\u00e1genes Afectivas (IAPS) y proporcion\u00f3 informaci\u00f3n b\u00e1sica sobre s\u00ed misma, como la edad y la soledad percibida.\u00a0<\/span><\/p>\n

El IAPS fue desarrollado por el Centro para el Estudio de la Emoci\u00f3n y la Atenci\u00f3n de la Universidad de Florida. Proporciona un conjunto estandarizado de fotograf\u00edas calificadas por su contenido emocional en t\u00e9rminos de valencia (agradabilidad), excitaci\u00f3n (intensidad) y dominancia (control).<\/p>\n

\"Ai
Ejemplo de imagen del Sistema Internacional de Im\u00e1genes Afectivas (IAPS). Fuente: Investigaci\u00f3n sobre salud mental.<\/figcaption><\/figure>\n

A continuaci\u00f3n, el sistema de IA analiz\u00f3 estos datos, buscando patrones en la forma en que las personas respond\u00edan a las im\u00e1genes y c\u00f3mo estas respuestas se relacionaban con sus niveles de ansiedad.\u00a0<\/span><\/p>\n

Tras el entrenamiento, el sistema Comp Cog AI fue capaz de predecir la ansiedad con una precisi\u00f3n de hasta 81%, lo que ofrece esperanzas para un futuro en el que los problemas de salud mental puedan identificarse mediante sistemas ligeros de autoservicio.\u00a0<\/span><\/p>\n

Como autora principal, Sumra Bari <\/span>explica<\/span><\/a>\"Utilizamos recursos computacionales m\u00ednimos y un peque\u00f1o conjunto de variables para predecir los niveles de ansiedad. Un conjunto importante de estas variables cuantifican procesos importantes para el juicio\".<\/span><\/p>\n

M\u00e1s informaci\u00f3n sobre el estudio<\/h2>\n

Aqu\u00ed tienes m\u00e1s informaci\u00f3n sobre c\u00f3mo funcion\u00f3 el estudio:<\/p>\n

    \n
  1. Recogida de datos<\/b>: Los participantes completaron una tarea de valoraci\u00f3n de im\u00e1genes, asignando puntuaciones de -3 (no me gusta mucho) a +3 (me gusta mucho) a 48 im\u00e1genes ligeramente emotivas de IAPS. Tambi\u00e9n respondieron a preguntas sobre su edad, soledad percibida e informaci\u00f3n demogr\u00e1fica.<\/span><\/li>\n
  2. Extracci\u00f3n de caracter\u00edsticas<\/b>: El sistema de IA extrajo 15 variables de juicio clave de los datos de valoraci\u00f3n de im\u00e1genes, como la aversi\u00f3n a la p\u00e9rdida, la aversi\u00f3n al riesgo y la coherencia recompensa-aversi\u00f3n. Estas variables cuantifican los sesgos en los juicios de recompensa\/aversi\u00f3n y se han relacionado con sistemas cerebrales implicados tanto en el juicio como en la ansiedad.<\/span><\/li>\n
  3. Formaci\u00f3n y predicci\u00f3n de IA<\/b>: Los investigadores utilizaron los algoritmos de aprendizaje autom\u00e1tico Random Forest y Random Forest equilibrado para entrenar el sistema de IA con un subconjunto de datos. La IA utiliz\u00f3 las variables de juicio y los factores contextuales para predecir el nivel de ansiedad de cada participante, medido por la parte de ansiedad estado del Inventario de Ansiedad Estado-Rasgo (STAI).<\/span><\/li>\n
  4. Evaluaci\u00f3n e interpretaci\u00f3n de modelos<\/b>: El sistema de IA entrenado se prob\u00f3 con los datos restantes para evaluar su precisi\u00f3n, sensibilidad y especificidad en la predicci\u00f3n de los niveles de ansiedad. Los investigadores tambi\u00e9n realizaron an\u00e1lisis de mediaci\u00f3n y moderaci\u00f3n para comprender c\u00f3mo interactuaban las variables de juicio y los factores contextuales para modelar la ansiedad.<\/span><\/li>\n<\/ol>\n

    Los cuatro predictores m\u00e1s importantes (edad, soledad, ingresos familiares y situaci\u00f3n laboral) aportaron 29-31% del poder predictivo del modelo, mientras que las 15 variables de juicio contribuyeron colectivamente con 55-61%.<\/span><\/p>\n

    Aggelos Katsaggelos, coautor principal, destac\u00f3 la importancia del planteamiento del estudio: \"El uso de una tarea de valoraci\u00f3n de im\u00e1genes con variables contextuales que afectan al juicio puede parecer sencillo, pero comprender los patrones de preferencia nos permite descubrir los componentes cr\u00edticos de un amplio conjunto de comportamientos\".<\/span><\/p>\n

    Los investigadores prev\u00e9n desarrollar la tecnolog\u00eda Comp Cog AI para convertirla en una aplicaci\u00f3n f\u00e1cil de usar para que los profesionales sanitarios, los hospitales e incluso el ej\u00e9rcito puedan identificar r\u00e1pidamente a las personas con alto riesgo de ansiedad.\u00a0<\/span><\/p>\n

    Como se\u00f1ala Bari, \"la tarea de calificaci\u00f3n de im\u00e1genes puede utilizarse para obtener instant\u00e1neas diarias e imparciales del estado de salud mental de una persona sin hacer preguntas directas que puedan desencadenar sentimientos negativos o molestos.\"\u00a0<\/span><\/p>\n

    Investigaciones anteriores aprovecharon la IA para ayudar a diagnosticar la esquizofrenia<\/a>y se han desarrollado herramientas para ofrecer terapia de IA a personas con problemas de salud mental. a trav\u00e9s de avatares digitales<\/a>.\u00a0<\/span><\/p>","protected":false},"excerpt":{"rendered":"

    Imagina poder predecir el nivel de ansiedad de alguien con s\u00f3lo hacerle valorar unas cuantas im\u00e1genes y responder a unas sencillas preguntas. Eso es exactamente lo que han conseguido investigadores de la Universidad de Cincinnati y la Universidad Northwestern con su sistema \"Comp Cog AI\". Combinando la inteligencia artificial con la ciencia que estudia c\u00f3mo procesa la informaci\u00f3n nuestra mente, han creado una herramienta capaz de identificar con precisi\u00f3n a las personas que pueden padecer ansiedad. En el estudio, publicado en Mental Health Research, participaron m\u00e1s de 3.000 personas de todo Estados Unidos. Cada persona valor\u00f3 una serie de im\u00e1genes levemente emotivas del Sistema Internacional de Im\u00e1genes Afectivas (IAPS) y<\/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\/es\/2024\/06\/ai-system-can-predict-how-anxious-you-are-from-reactions-to-photos\/\" \/>\n<meta property=\"og:locale\" content=\"es_ES\" \/>\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\/es\/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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