{"id":960,"date":"2023-11-22T20:09:07","date_gmt":"2023-11-22T19:09:07","guid":{"rendered":"https:\/\/educaenelfuturo.com\/?p=960"},"modified":"2024-02-03T17:49:42","modified_gmt":"2024-02-03T16:49:42","slug":"conversational-agents-for-depression-screening-a-systematic-review","status":"publish","type":"post","link":"https:\/\/educaenelfuturo.com\/index.php\/2023\/11\/22\/conversational-agents-for-depression-screening-a-systematic-review\/","title":{"rendered":"Conversational Agents for depression screening: a systematic review"},"content":{"rendered":"\n
\"Data
Data and process flows within a conversational agent.<\/figcaption><\/figure>\n\n\n\n

ABSTRACT <\/em><\/strong><\/p>\n\n\n\n

Objective<\/strong> This work explores the advances in conversational agents aimed at the detection of mental health disorders, and specifically the screening of depression. The focus is put on those based on voice interaction, but other approaches are also tackled, such as text-based interaction or embodied avatars. <\/p>\n\n\n\n

Methods<\/strong> PRISMA was selected as the systematic methodology for the analysis of existing literature, which was retrieved from Scopus, PubMed, IEEE Xplore, APA PsycINFO, Cochrane, and Web of Science. Relevant research addresses the detection of depression using conversational agents, and the selection criteria utilized include their effectiveness, usability, personalization, and psychometric properties. <\/p>\n\n\n\n

Results<\/strong> Of the 993 references initially retrieved, 36 were finally included in our work.<\/em><\/strong> The analysis of these studies allowed us to identify 30 conversational agents<\/strong> that claim to detect depression, specifically or in combination with other disorders such as anxiety or stress disorders. As a general approach, screening was implemented in the conversational agents taking as a reference standardized or psychometrically validated clinical tests, which were also utilized as a golden standard for their validation. The implementation of questionnaires such as Patient Health Questionnaire or the Beck Depression Inventory, which are used in 65% of the articles analyzed, stand out. <\/p>\n\n\n\n

\"PRISMA
PRISMA Flowchart.<\/figcaption><\/figure>\n\n\n\n

Conclusions <\/strong>The usefulness of intelligent conversational agents allows screening to be administered to different types of profiles, such as patients (33% of relevant proposals) and caregivers (11%), although in many cases a target profile is not clearly of (66% of solutions analyzed). This study found 30 standalone conversational agents, but some proposals were explored that combine several approaches for a more enriching data acquisition. The interaction implemented in most relevant conversational agents is text-based, although the evolution is clearly towards voice integration, which in turns enhances their psychometric characteristics, as voice interaction is perceived as more natural and less invasive.<\/p>\n\n\n\n

More details here<\/a>. ( https:\/\/doi.org\/10.1016\/j.ijmedinf.2023.105272<\/a> )<\/p>\n\n\n\n

Agentes conversacionales para la detecci\u00f3n de la depresi\u00f3n: una revisi\u00f3n sistem\u00e1tica<\/h1>\n\n\n\n

Resumen<\/em><\/strong><\/p>\n\n\n\n

\"Flujos
Flujos de datos y procesos dentro de un agente conversacional.<\/figcaption><\/figure>\n\n\n\n

Objetivo<\/strong> Este trabajo explora los avances en agentes conversacionales dirigidos a la detecci\u00f3n de trastornos de salud mental, y espec\u00edficamente al screening de la depresi\u00f3n. Se pone el foco en aquellos basados en la interacci\u00f3n por voz, pero tambi\u00e9n se abordan otros enfoques, como la interacci\u00f3n basada en texto o los avatares encarnados.<\/p>\n\n\n\n

M\u00e9todos<\/strong> Se seleccion\u00f3 PRISMA como metodolog\u00eda sistem\u00e1tica para el an\u00e1lisis de la literatura existente, que se recuper\u00f3 de Scopus, PubMed, IEEE Xplore, APA PsycINFO, Cochrane y Web of Science. Las investigaciones relevantes abordan la detecci\u00f3n de la depresi\u00f3n utilizando agentes conversacionales y los criterios de selecci\u00f3n utilizados incluyen su efectividad, usabilidad, personalizaci\u00f3n y propiedades psicom\u00e9tricas.<\/p>\n\n\n\n

Resultados<\/strong> De las 993 referencias recuperadas inicialmente, finalmente se incluyeron 36 en nuestro trabajo. El an\u00e1lisis de estos estudios permiti\u00f3 identificar 30 agentes conversacionales que afirman detectar la depresi\u00f3n, de forma espec\u00edfica o en combinaci\u00f3n con otros trastornos como la ansiedad o el estr\u00e9s. Como abordaje general, se implement\u00f3 el screening en los agentes conversacionales tomando como referencia pruebas cl\u00ednicas estandarizadas o validadas psicom\u00e9tricamente, las cuales tambi\u00e9n fueron utilizadas como est\u00e1ndar de oro para su validaci\u00f3n. Destaca la implementaci\u00f3n de cuestionarios como el Cuestionario de Salud del Paciente o el Inventario de Depresi\u00f3n de Beck, que se utilizan en el 65% de los art\u00edculos analizados.<\/p>\n\n\n\n

\"Diagrama
Diagrama de flujo PRISMA.<\/figcaption><\/figure>\n\n\n\n

Conclusiones<\/strong> La utilidad de los agentes conversacionales inteligentes permite aplicar el cribado a distintos tipos de perfiles, como pacientes (33% de las propuestas relevantes) y cuidadores (11%), aunque en muchos casos no est\u00e1 claro un perfil objetivo (66% de las soluciones analizadas). Este estudio encontr\u00f3 30 agentes conversacionales independientes, pero se exploraron algunas propuestas que combinan varios enfoques para una adquisici\u00f3n de datos m\u00e1s enriquecedora. La interacci\u00f3n implementada en los agentes conversacionales m\u00e1s relevantes est\u00e1 basada en texto, aunque la evoluci\u00f3n es clara hacia la integraci\u00f3n de la voz, lo que a su vez potencia sus caracter\u00edsticas psicom\u00e9tricas, al percibir la interacci\u00f3n de la voz como m\u00e1s natural y menos invasiva.<\/p>\n\n\n\n

M\u00e1s detalles aqu\u00ed<\/a>. ( https:\/\/doi.org\/10.1016\/j.ijmedinf.2023.105272<\/a> ) <\/p>\n","protected":false},"excerpt":{"rendered":"

ABSTRACT Objective This work explores the advances in conversational agents aimed at the detection of mental health disorders, and specifically the screening of depression. The focus is put on those based on voice interaction, but other approaches are also tackled, such as text-based interaction or embodied avatars. Methods PRISMA was selected as the systematic methodology Leer m\u00e1s …<\/a><\/p>\n","protected":false},"author":1,"featured_media":964,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_exactmetrics_skip_tracking":false,"_exactmetrics_sitenote_active":false,"_exactmetrics_sitenote_note":"","_exactmetrics_sitenote_category":0,"footnotes":""},"categories":[241,238,250,251,242,214,239,145,244,43,240,243,3],"tags":[249,246],"class_list":["post-960","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-applications","category-conversational-agent","category-depresion","category-deterioro-cognitivo","category-health-care","category-ia","category-inteligencia-artificial","category-manual-skills","category-mental-health","category-phd-student","category-pnl","category-salud-mental","category-vigo","tag-depresion","tag-salud-mental"],"aioseo_notices":[],"_links":{"self":[{"href":"https:\/\/educaenelfuturo.com\/index.php\/wp-json\/wp\/v2\/posts\/960","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/educaenelfuturo.com\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/educaenelfuturo.com\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/educaenelfuturo.com\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/educaenelfuturo.com\/index.php\/wp-json\/wp\/v2\/comments?post=960"}],"version-history":[{"count":6,"href":"https:\/\/educaenelfuturo.com\/index.php\/wp-json\/wp\/v2\/posts\/960\/revisions"}],"predecessor-version":[{"id":973,"href":"https:\/\/educaenelfuturo.com\/index.php\/wp-json\/wp\/v2\/posts\/960\/revisions\/973"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/educaenelfuturo.com\/index.php\/wp-json\/wp\/v2\/media\/964"}],"wp:attachment":[{"href":"https:\/\/educaenelfuturo.com\/index.php\/wp-json\/wp\/v2\/media?parent=960"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/educaenelfuturo.com\/index.php\/wp-json\/wp\/v2\/categories?post=960"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/educaenelfuturo.com\/index.php\/wp-json\/wp\/v2\/tags?post=960"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}