Este capítulo presenta el diseño y la evaluación de la experiencia del usuario de un juego serio destinado a apoyar a los estudiantes de pregrado en el aprendizaje de intervenciones comunitarias derivado de su currículo en el área de trabajo social.
We review the applications of deep learning (DL) methods in genomic selection (GS) to obtain a meta-picture of GS performance and highlight how these tools can help solve challenging plant breeding problems. We also provide general guidance for the effective use of DL methods including the fundamentals of DL and the requirements for its appropriate use. We discuss the pros and cons of this technique compared to traditional genomic prediction approaches as well as the current trends in DL applications.
Human Computer Interaction (HCI) research has been traditionally carried out with users in upper income countries in industrialized nations. However, there is a growing need to deepen the understanding of relatively underserved communities and their interaction with computing technologies. This is the case of Latin America (LATAM), a region that has a unique set of sociotechnical characteristics and a unique set of challenges and problems.
This paper presents the usability assessment of the design of an Internet of Medical Things (IoMT) system for older adults; the evaluation, using heuristics, was held early on the design process to assess potential problems with the system and was found to be an efficient method to find issues with the application design and led to significant usability improvements on the IoMT platform.