Inteligencia artificial adaptativa para optimizar experiencias inmersivas en realidades extendidas XR
DOI:
https://doi.org/10.26507/paper.4809Palabras clave:
Realidades extendidas, realidad virtual, realidad aumentada, inteligencia artificial, entornos adaptativos, HCIResumen
Este artículo presenta una revisión sistemática sobre el uso de inteligencia artificial adaptativa para optimizar experiencias inmersivas en entornos de realidad extendida (XR), abarcando tecnologías como la realidad virtual, aumentada y mixta. La investigación identifica tres ejes clave de personalización: 1. monitoreo del estado del usuario, 2. personalización conversacional mediante modelos generativos, y 3. modulación dinámica del entorno inmersivo.
Los hallazgos evidencian un avance significativo hacia experiencias XR más empáticas, receptivas y centradas en el usuario. No obstante, también revelan desafíos importantes, como la fragmentación tecnológica, la escasa integración entre capas adaptativas y la limitada validación empírica en contextos abiertos. Este estudio ofrece una síntesis crítica de las tendencias emergentes y propone lineamientos estratégicos para diseñar entornos XR éticos, sensibles al contexto y potenciados por inteligencia artificial, convirtiéndose en una guía útil para investigadores, diseñadores y desarrolladores de experiencias inmersivas.
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