Interacción natural y emocional con robots sociales
DOI:
https://doi.org/10.65234/interaccion.135Palabras clave:
robots sociales, computación afectiva, LLM, interacción natural, interacción emocionalResumen
En los últimos años, se ha demostrado la gran cantidad de beneficios que los robots sociales pueden ofrecer a las personas, tanto como herramientas de aprendizaje como en funciones de acompañamiento social. Para que estas interacciones sean efectivas, es necesario que los robots sean capaces de conversar de forma inteligente y actúen de forma natural y emocionalmente coherente. En este trabajo se presenta un sistema orientado a mejorar la interacción humano-robot mediante la integración de herramientas de inteligencia artificial basada en modelos de lenguaje (LLM), interfaces gráficas (visual y táctil), movimientos, luces y voz. El sistema, implementado en Android sobre el robot Sanbot Elf, se compone de tres módulos principales: el Módulo Conversacional, el Módulo Emocional y el Módulo Reactivo, diseñados para lograr un diálogo fluido, expresar estados emocionales y aportar naturalidad al comportamiento del robot. Se realizó una evaluación inicial del sistema conversacional con 18 usuarios, cuyos resultados fueron muy positivos, y dieron lugar a una serie de mejoras para optimizar el desempeño y la experiencia de interacción.
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Derechos de autor 2025 Liany Mendoza, Eva Cerezo, Loreto Matinero, Adrián Arribas, Sandra Baldassarri
Esta obra está bajo una licencia internacional Creative Commons Atribución-NoComercial 4.0.
