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El 26/11/2021 se han entregado los premios a las mejores tesis doctorales y trabajos fin de máster otorgados por el Colegio Oficial de Ingenieros de Telecomunicación (COIT) de 2020 y 2021. En esta edición han sid ...

Participation in SALLD-1 Workshop on Sentiment Analysis & Linguistic Linked Data hold  held in conjunction with LDK 2021 – 3rd Conference on Language, Data and Knowledge in Zaragoza. The invited talk is t ...

El pasado martes 15 de junio se llevó a cabo la actividad del proyecto Gamusino con alumnos de tercero de la ESO del colegio Comunidad Infantil Villaverde. El proyecto Gamusino (GAMUSINO - Técnicas de Gamificaci ...

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The article "A Cognitive Assistant for learning Java featuring Social Dialogue" by Miguel Coronado, Carlos A. Iglesias, Álvaro Carrera Barroso & Alberto Mardomingo Mardomingo has been published in International Journal of Human-Computer Studies, indexed by JCR - Q1.

Abstract. The application of natural language to improve the interaction of human users with information systems is a growing trend in the recent years. Advances in cognitive computing enable a new way of interaction that accelerates insight from existing information sources. In this paper, we propose a modular cognitive agent architecture for question answering featuring social dialogue improved for a specific knowledge domain. The proposed system has been implemented as a personal agent to assist students learning Java programming language. The developed prototype has been evaluated to analyze how users perceive the interaction with the system. We claim that including social dialogue in QA systems increases users satisfaction and makes them easily engage with the system. Finally, we present the evaluation results that support our hypotheses.

 

The article is available at https://www.sciencedirect.com/science/article/pii/S1071581918300636?via%3Dihub.