{"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\/nb\/2024\/06\/ai-system-can-predict-how-anxious-you-are-from-reactions-to-photos\/","title":{"rendered":"AI-system kan forutsi hvor engstelig du er ut fra reaksjoner p\u00e5 bilder"},"content":{"rendered":"

Tenk deg \u00e5 kunne forutsi en persons angstniv\u00e5 bare ved \u00e5 f\u00e5 vedkommende til \u00e5 vurdere noen bilder og svare p\u00e5 noen enkle sp\u00f8rsm\u00e5l. <\/strong><\/p>\n

Det er akkurat det forskere fra University of Cincinnati og Northwestern University har f\u00e5tt til med sitt \"Comp Cog AI\"-system.\u00a0<\/span><\/p>\n

Ved \u00e5 kombinere kunstig intelligens med vitenskapen om hvordan hjernen v\u00e5r behandler informasjon, har de skapt et verkt\u00f8y som n\u00f8yaktig kan identifisere personer som sliter med angst.\u00a0<\/span><\/p>\n

Den <\/span>studie<\/span><\/a>publisert i Mental Health Research, involverte over 3000 deltakere fra hele USA. <\/span><\/p>\n

Hver person vurderte en rekke mildt emosjonelle bilder fra International Affective Picture System (IAPS) og oppga grunnleggende informasjon om seg selv, for eksempel alder og opplevd ensomhet.\u00a0<\/span><\/p>\n

IAPS ble utviklet av Center for the Study of Emotion and Attention ved University of Florida. IAPS best\u00e5r av et standardisert sett med fotografier som er vurdert etter emosjonelt innhold i form av valens (behag), arousal (intensitet) og dominans (kontroll).<\/p>\n

\"Ai-f\u00f8lelser\"
Et eksempel p\u00e5 et bilde fra International Affective Picture System (IAPS). Kilde: Mental Health Research: Mental Health Research.<\/figcaption><\/figure>\n

AI-systemet analyserte deretter disse dataene og s\u00e5 etter m\u00f8nstre i m\u00e5ten folk reagerte p\u00e5 bildene p\u00e5, og hvordan disse reaksjonene var relatert til angstniv\u00e5et deres.\u00a0<\/span><\/p>\n

Etter oppl\u00e6ring kunne Comp Cog AI-systemet forutsi angst med en n\u00f8yaktighet p\u00e5 opptil 81%, noe som gir h\u00e5p om en fremtid der psykiske helseutfordringer kan identifiseres ved hjelp av lette selvbetjeningssystemer.\u00a0<\/span><\/p>\n

Som hovedforfatter Sumra Bari <\/span>forklarer<\/span><\/a>\"Vi brukte minimale beregningsressurser og et lite sett med variabler for \u00e5 forutsi angstniv\u00e5. Et viktig sett av disse variablene kvantifiserer prosesser som er viktige for d\u00f8mmekraften.\"<\/span><\/p>\n

Mer om studien<\/h2>\n

Her kan du lese mer om hvordan studien fungerte:<\/p>\n

    \n
  1. Innsamling av data<\/b>: Deltakerne fullf\u00f8rte en bildevurderingsoppgave, der de tildelte karakterer fra -3 (liker sv\u00e6rt d\u00e5rlig) til +3 (liker sv\u00e6rt godt) til 48 mildt emosjonelle bilder fra IAPS. De svarte ogs\u00e5 p\u00e5 sp\u00f8rsm\u00e5l om alder, opplevd ensomhet og demografisk informasjon.<\/span><\/li>\n
  2. Funksjonsutvinning<\/b>: AI-systemet hentet ut 15 viktige vurderingsvariabler fra bildevurderingsdataene, for eksempel tapsaversjon, risikoaversjon og konsistens mellom bel\u00f8nning og aversjon. Disse variablene kvantifiserer skjevheter i vurderinger av bel\u00f8nning\/aversjon og har blitt knyttet til hjernesystemer som er involvert i b\u00e5de d\u00f8mmekraft og angst.<\/span><\/li>\n
  3. AI-trening og prediksjon<\/b>: Forskerne brukte Random Forest- og balansert Random Forest-maskinl\u00e6ringsalgoritmer for \u00e5 trene AI-systemet p\u00e5 en delmengde av dataene. AI-en brukte vurderingsvariablene og kontekstuelle faktorer til \u00e5 forutsi hver enkelt deltakers angstniv\u00e5, m\u00e5lt ved hjelp av tilstandsangstdelen av State-Trait Anxiety Inventory (STAI).<\/span><\/li>\n
  4. Evaluering og tolkning av modellen<\/b>: Det oppl\u00e6rte AI-systemet ble testet p\u00e5 de gjenv\u00e6rende dataene for \u00e5 vurdere n\u00f8yaktigheten, sensitiviteten og spesifisiteten n\u00e5r det gjaldt \u00e5 forutsi angstniv\u00e5er. Forskerne gjennomf\u00f8rte ogs\u00e5 medierings- og moderasjonsanalyser for \u00e5 forst\u00e5 hvordan vurderingsvariablene og kontekstuelle faktorer samvirket for \u00e5 modellere angst.<\/span><\/li>\n<\/ol>\n

    De fire viktigste prediktorene - alder, ensomhet, husstandsinntekt og arbeidsstatus - bidro med 29-31% av modellens prediksjonskraft, mens de 15 vurderingsvariablene til sammen bidro med 55-61%.<\/span><\/p>\n

    Medforfatter Aggelos Katsaggelos fremhevet betydningen av studiens tiln\u00e6rming og sa: \"Bruk av en bildevurderingsoppgave med kontekstuelle variabler som p\u00e5virker d\u00f8mmekraften, kan virke enkelt, men ved \u00e5 forst\u00e5 m\u00f8nstre i preferanser kan vi avdekke de kritiske komponentene for et stort sett av atferd.\"<\/span><\/p>\n

    Forskerne ser for seg \u00e5 utvikle Comp Cog AI-teknologien til en brukervennlig app for helsepersonell, sykehus og til og med milit\u00e6ret, slik at de raskt kan identifisere personer med h\u00f8y risiko for angst.\u00a0<\/span><\/p>\n

    Som Bari bemerker: \"Bildevurderingsoppgaven kan brukes til \u00e5 produsere daglige og objektive \u00f8yeblikksbilder av en persons psykiske helsetilstand uten \u00e5 stille direkte sp\u00f8rsm\u00e5l som kan utl\u00f8se negative eller opprivende f\u00f8lelser.\"\u00a0<\/span><\/p>\n

    Tidligere forskning har utnyttet AI til \u00e5 bidra til \u00e5 diagnostisere schizofreni<\/a>, mens det er utviklet verkt\u00f8y for \u00e5 tilby AI-terapi til personer med psykiske lidelser gjennom digitale avatarer<\/a>.\u00a0<\/span><\/p>","protected":false},"excerpt":{"rendered":"

    Tenk deg \u00e5 kunne forutsi en persons angstniv\u00e5 bare ved \u00e5 f\u00e5 vedkommende til \u00e5 vurdere noen bilder og svare p\u00e5 noen enkle sp\u00f8rsm\u00e5l. Det er akkurat det forskere fra University of Cincinnati og Northwestern University har f\u00e5tt til med sitt \"Comp Cog AI\"-system. Ved \u00e5 kombinere kunstig intelligens med vitenskapen om hvordan hjernen v\u00e5r behandler informasjon, har de skapt et verkt\u00f8y som n\u00f8yaktig kan identifisere personer som kan slite med angst. Studien, som ble publisert i Mental Health Research, involverte over 3000 deltakere fra hele USA. Hver person vurderte en rekke mildt emosjonelle bilder fra International Affective Picture System (IAPS) og<\/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\/nb\/2024\/06\/ai-system-can-predict-how-anxious-you-are-from-reactions-to-photos\/\" \/>\n<meta property=\"og:locale\" content=\"nb_NO\" \/>\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\/nb\/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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