A Cognitive Assistant for learning Java featuring Social Dialogue

Miguel Coronado, Carlos A. Iglesias, Álvaro Carrera Barroso & Alberto Mardomingo Mardomingo. (2018). A Cognitive Assistant for learning Java featuring Social Dialogue. International Journal of Human-Computer Studies.

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
JCR 2018 Q2 2.006, SJR 2018 Q1 0.688, Scopus 2018 Q1 7.6