{"id":167,"date":"2025-04-29T13:18:50","date_gmt":"2025-04-29T11:18:50","guid":{"rendered":"http:\/\/gamemood.tel.uva.es\/?p=167"},"modified":"2025-06-10T18:42:46","modified_gmt":"2025-06-10T16:42:46","slug":"gamemood-ia-para-entender-los-sentimientos-en-el-mundo-gamer","status":"publish","type":"post","link":"https:\/\/gamemood.tel.uva.es\/en\/gamemood-ia-para-entender-los-sentimientos-en-el-mundo-gamer\/","title":{"rendered":"GAMEMOOD: AI to Understand Feelings in the Gaming World"},"content":{"rendered":"<p class=\"translation-block\">At the intersection of artificial intelligence and video games, a still largely unexplored space emerges: the emotional analysis of communication that takes place in virtual environments and in the context of video game streaming. Despite the enormous social and economic impact of this digital ecosystem, research on how to apply AI techniques to evaluate emotional responses on platforms such as Twitch\u2014particularly in Spanish\u2014is surprisingly scarce. In fact, <strong>our team has been a pioneer<\/strong> with the first study published to date that addresses this topic in depth <a href=\"https:\/\/doi.org\/10.1016\/j.csl.2024.101651\" target=\"_self\">(see study)<\/a>.<\/p>\n\n\n\n<p class=\"translation-block\">This gap opens up a major opportunity for innovation. Through rigorous technical work, we have developed a <strong>unique web application that integrates emotional artificial intelligence specifically trained in the gaming environment<\/strong>. Our technology is built on two main pillars:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Specialized linguistic corpus: We have created a corpus annotated with different levels of polarity and emotions, covering a wide variety of video game genres, including multiplayer, cooperative, competitive, and single-player titles. Some examples are League of Legends, Fortnite, World of Warcraft, and Dark Souls.<\/li>\n\n\n\n<li>Advanced machine learning algorithms: Using models based on BERT (Bidirectional Encoder Representations from Transformers), we have achieved high accuracy in the emotional detection of messages in Spanish gaming streaming channels, identifying both polarity and specific emotions in real time.<\/li>\n<\/ul>\n\n\n\n<p class=\"translation-block\"><strong>All this technological foundation has been integrated into an intuitive web platform<\/strong>, with interactive visualizations and an interface designed to be <strong>accessible to all types of users\u2014from developers to analysts, researchers, or content creators<\/strong>\u2014without the need for advanced technical knowledge.<\/p>\n\n\n\n<p class=\"translation-block\">We are currently making progress in the <strong>development of key functionalities<\/strong> such as:<\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li>Definition of user type\u2013specific requirements.<\/li>\n\n\n\n<li>Design of a visual, user-friendly, and adaptive interface.<\/li>\n\n\n\n<li>Integration of AI models based on NLP (Natural Language Processing).<\/li>\n\n\n\n<li>Creation of easy-to-interpret emotional visualization dashboards.<\/li>\n<\/ol>\n\n\n\n<p>With this application, we take a decisive and innovative step toward the future of emotional analysis in video games, opening new pathways for the design of more immersive experiences, more comprehensive market studies, and novel business models within the gaming industry.<\/p>","protected":false},"excerpt":{"rendered":"<p>En el cruce entre inteligencia artificial y videojuegos, surge un espacio a\u00fan poco explorado: el an\u00e1lisis emocional de la comunicaci\u00f3n que se produce en entornos virtuales y en el contexto del streaming de videojuegos. A pesar del enorme impacto social y econ\u00f3mico de este ecosistema digital, la investigaci\u00f3n sobre c\u00f3mo aplicar t\u00e9cnicas de IA para [&hellip;]<\/p>","protected":false},"author":1,"featured_media":94,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[1],"tags":[],"class_list":["post-167","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-general"],"acf":[],"rttpg_featured_image_url":{"full":["https:\/\/gamemood.tel.uva.es\/wp-content\/uploads\/2025\/05\/Mando.jpg",344,234,false],"landscape":["https:\/\/gamemood.tel.uva.es\/wp-content\/uploads\/2025\/05\/Mando.jpg",344,234,false],"portraits":["https:\/\/gamemood.tel.uva.es\/wp-content\/uploads\/2025\/05\/Mando.jpg",344,234,false],"thumbnail":["https:\/\/gamemood.tel.uva.es\/wp-content\/uploads\/2025\/05\/Mando-150x150.jpg",150,150,true],"medium":["https:\/\/gamemood.tel.uva.es\/wp-content\/uploads\/2025\/05\/Mando-300x204.jpg",300,204,true],"large":["https:\/\/gamemood.tel.uva.es\/wp-content\/uploads\/2025\/05\/Mando.jpg",344,234,false],"1536x1536":["https:\/\/gamemood.tel.uva.es\/wp-content\/uploads\/2025\/05\/Mando.jpg",344,234,false],"2048x2048":["https:\/\/gamemood.tel.uva.es\/wp-content\/uploads\/2025\/05\/Mando.jpg",344,234,false],"trp-custom-language-flag":["https:\/\/gamemood.tel.uva.es\/wp-content\/uploads\/2025\/05\/Mando.jpg",18,12,false]},"rttpg_author":{"display_name":"admin","author_link":"https:\/\/gamemood.tel.uva.es\/en\/author\/admin\/"},"rttpg_comment":1,"rttpg_category":"<a href=\"https:\/\/gamemood.tel.uva.es\/en\/category\/general\/\" rel=\"category tag\">Sense categoria<\/a>","rttpg_excerpt":"En el cruce entre inteligencia artificial y videojuegos, surge un espacio a\u00fan poco explorado: el an\u00e1lisis emocional de la comunicaci\u00f3n que se produce en entornos virtuales y en el contexto del streaming de videojuegos. A pesar del enorme impacto social y econ\u00f3mico de este ecosistema digital, la investigaci\u00f3n sobre c\u00f3mo aplicar t\u00e9cnicas de IA para&hellip;","_links":{"self":[{"href":"https:\/\/gamemood.tel.uva.es\/en\/wp-json\/wp\/v2\/posts\/167","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/gamemood.tel.uva.es\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/gamemood.tel.uva.es\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/gamemood.tel.uva.es\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/gamemood.tel.uva.es\/en\/wp-json\/wp\/v2\/comments?post=167"}],"version-history":[{"count":4,"href":"https:\/\/gamemood.tel.uva.es\/en\/wp-json\/wp\/v2\/posts\/167\/revisions"}],"predecessor-version":[{"id":560,"href":"https:\/\/gamemood.tel.uva.es\/en\/wp-json\/wp\/v2\/posts\/167\/revisions\/560"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/gamemood.tel.uva.es\/en\/wp-json\/wp\/v2\/media\/94"}],"wp:attachment":[{"href":"https:\/\/gamemood.tel.uva.es\/en\/wp-json\/wp\/v2\/media?parent=167"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/gamemood.tel.uva.es\/en\/wp-json\/wp\/v2\/categories?post=167"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/gamemood.tel.uva.es\/en\/wp-json\/wp\/v2\/tags?post=167"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}