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La Inteligencia Artificial Aplicada A Los Sistemas De Infotainment: Estructura, Evolución Y Líneas De Investigación
Abstract
La aplicación de la inteligencia artificial en los sistemas de infotainment constituye un ámbito de investigación emergente que comienza a adquirir relevancia en la literatura científica a partir de comienzos del siglo XXI. Aunque los sistemas de infotainment cuentan con una evolución previa asociada a tecnologías multimedia y de información, la incorporación de técnicas de inteligencia artificial se manifiesta de forma explícita en la producción científica desde 2002, con un volumen acumulado de 65 publicaciones hasta la fecha. Este contexto justifica la necesidad de analizar cómo se está configurando este campo de estudio y cuál puede ser su impacto potencial en el desarrollo futuro de sistemas inteligentes. El objetivo de este artículo es examinar la evolución inicial, la estructura del conocimiento y las principales líneas de investigación relacionadas con la inteligencia artificial aplicada a los sistemas de infotainment, a partir de la literatura científica indexada. Para ello, se emplea la base de datos Scopus como fuente de información, considerando documentos publicados entre 2002 y 2025 mediante una estrategia de búsqueda que combina términos vinculados a infotainment e inteligencia artificial. La metodología se apoya en técnicas de análisis de la producción científica y mapeo del conocimiento, utilizando el software VOSviewer para la visualización de redes de coocurrencia de palabras clave y la identificación de clústeres temáticos. Los resultados ponen de manifiesto un crecimiento moderado pero sostenido de las publicaciones, con una orientación temática hacia áreas como aprendizaje automático, sistemas de recomendación, interacción multimodal, reconocimiento de voz e infotainment vehicular. El análisis permite comprender el estado actual del conocimiento y anticipar el papel que la inteligencia artificial puede desempeñar en la evolución de los sistemas de infotainment, así como los retos asociados a la gestión de datos, la privacidad del usuario y la integración de arquitecturas inteligentes en un campo aún en fase de consolidación.
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DOI: http://dx.doi.org/10.52155/ijpsat.v54.1.7802
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