C
C. Glez-Morcillo
Researcher at University of Castilla–La Mancha
Publications - 34
Citations - 284
C. Glez-Morcillo is an academic researcher from University of Castilla–La Mancha. The author has contributed to research in topics: Rehabilitation & Agent architecture. The author has an hindex of 7, co-authored 32 publications receiving 167 citations.
Papers
More filters
Journal ArticleDOI
Multi-agent architecture for information retrieval and intelligent monitoring by UAVs in known environments affected by catastrophes
TL;DR: The design of a multi-agent architecture which enables the deployment of systems made up of intelligent agents that can monitor environments affected by a catastrophe and provide support to human staff in the decision-making process is proposed.
Journal ArticleDOI
A multi-agent architecture for supporting distributed normality-based intelligent surveillance
TL;DR: This paper discusses the architecture devised by means of a set of autonomous agents that are responsible for the management of different surveillance tasks and for cooperating to monitor complex environments and uses the architecture to deploy a surveillance system to monitor an urban traffic scenario.
Journal ArticleDOI
A novel approach to learning music and piano based on mixed reality and gamification
TL;DR: A novel approach based on mixed reality and gamification is proposed to motivate music students and an increase in the students’ motivation and a general understanding of the multimedia representation have been achieved.
Journal ArticleDOI
RoboTIC: A serious game based on augmented reality for learning programming
Santiago Schez-Sobrino,David Vallejo,C. Glez-Morcillo,Miguel A. Redondo,Jose Jesus Castro-Schez +4 more
TL;DR: RoboTIC, a serious game based on gamification and Augmented Reality that facilitates the learning of programming to students in lower levels of the education system by using a novel set of visual metaphors derived from a notation of roads and traffic signs is introduced.
Journal ArticleDOI
An intelligent tutoring system for supporting active learning: A case study on predictive parsing learning.
TL;DR: An intelligent tutoring system is proposed in this paper to encourage students to learn through experimentation, proposing tasks on their own initiative, which involves putting into use all the skills, abilities, tools and, knowledge needed to successfully solve them.