3,153 research outputs found
Virtual Alliances for Learning Society (VALS) project and the Semester of Code
[EN]Presentation of the VALS (Virtual Alliances for Learning Society) European Project in
the TEEM 2015 International Conference that was held at the ISEP of Porto, Portugal
on October 8th, 201
On data-driven systems analyzing, supporting and enhancing usersâ interaction and experience
[EN]The research areas of Human-Computer Interaction and Software Architectures have
been traditionally treated separately, but in the literature, many authors made efforts to
merge them to build better software systems. One of the common gaps between software
engineering and usability is the lack of strategies to apply usability principles in the initial
design of software architectures. Including these principles since the early phases of software
design would help to avoid later architectural changes to include user experience
requirements. The combination of both fields (software architectures and Human-Computer
Interaction) would contribute to building better interactive software that should include the
best from both the systems and user-centered designs. In that combination, the software
architectures should enclose the fundamental structure and ideas of the system to offer the
desired quality based on sound design decisions.
Moreover, the information kept within a system is an opportunity to extract knowledge
about the system itself, its components, the software included, the users or the interaction
occurring inside. The knowledge gained from the information generated in a software
environment can be used to improve the system itself, its software, the usersâ experience, and
the results. So, the combination of the areas of Knowledge Discovery and Human-Computer
Interaction offers ideal conditions to address Human-Computer-Interaction-related
challenges. The Human-Computer Interaction focuses on human intelligence, the Knowledge
Discovery in computational intelligence, and the combination of both can raise the support
of human intelligence with machine intelligence to discover new insights in a world crowded
of data.
This Ph.D. Thesis deals with these kinds of challenges: how approaches like data-driven
software architectures (using Knowledge Discovery techniques) can help to improve the users'
interaction and experience within an interactive system. Specifically, it deals with how to
improve the human-computer interaction processes of different kind of stakeholders to
improve different aspects such as the user experience or the easiness to accomplish a specific
task.
Several research actions and experiments support this investigation. These research
actions included performing a systematic literature review and mapping of the literature that
was aimed at finding how the software architectures in the literature have been used to
support, analyze or enhance the human-computer interaction. Also, the actions included work
on four different research scenarios that presented common challenges in the Human-
Computer Interaction knowledge area. The case studies that fit into the scenarios selected
were chosen based on the Human-Computer Interaction challenges they present, and on the
authorsâ accessibility to them. The four case studies were: an educational laboratory virtual world, a Massive Open Online Course and the social networks where the students discuss
and learn, a system that includes very large web forms, and an environment where
programmers develop code in the context of quantum computing. The development of the
experiences involved the review of more than 2700 papers (only in the literature review
phase), the analysis of the interaction of 6000 users in four different contexts or the analysis
of 500,000 quantum computing programs.
As outcomes from the experiences, some solutions are presented regarding the minimal
software artifacts to include in software architectures, the behavior they should exhibit, the
features desired in the extended software architecture, some analytic workflows and
approaches to use, or the different kinds of feedback needed to reinforce the usersâ interaction
and experience.
The results achieved led to the conclusion that, despite this is not a standard practice in
the literature, the software environments should embrace Knowledge Discovery and datadriven
principles to analyze and respond appropriately to the usersâ needs and improve or
support the interaction. To adopt Knowledge Discovery and data-driven principles, the
software environments need to extend their software architectures to cover also the challenges
related to Human-Computer Interaction. Finally, to tackle the current challenges related to
the usersâ interaction and experience and aiming to automate the software response to usersâ
actions, desires, and behaviors, the interactive systems should also include intelligent
behaviors through embracing the Artificial Intelligence procedures and techniques
On Data-driven systems analyzing, supporting and enhancing usersâ interaction and experience
Tesis doctoral en inglés y resumen extendido en español[EN] The research areas of Human-Computer Interaction and Software Architectures have been traditionally treated separately, but in the literature, many authors made efforts to merge them to build better software systems. One of the common gaps between software engineering and usability is the lack of strategies to apply usability principles in the initial design of software architectures. Including these principles since the early phases of software design would help to avoid later architectural changes to include user experience requirements. The combination of both fields (software architectures and Human-Computer Interaction) would contribute to building better interactive software that should include the best from both the systems and user-centered designs. In that combination, the software architectures should enclose the fundamental structure and ideas of the system to offer the desired quality based on sound design decisions.
Moreover, the information kept within a system is an opportunity to extract knowledge about the system itself, its components, the software included, the users or the interaction occurring inside. The knowledge gained from the information generated in a software environment can be used to improve the system itself, its software, the usersâ experience, and the results. So, the combination of the areas of Knowledge Discovery and Human-Computer Interaction offers ideal conditions to address Human-Computer-Interaction-related challenges. The Human-Computer Interaction focuses on human intelligence, the Knowledge Discovery in computational intelligence, and the combination of both can raise the support of human intelligence with machine intelligence to discover new insights in a world crowded of data.
This Ph.D. Thesis deals with these kinds of challenges: how approaches like data-driven software architectures (using Knowledge Discovery techniques) can help to improve the users' interaction and experience within an interactive system. Specifically, it deals with how to improve the human-computer interaction processes of different kind of stakeholders to improve different aspects such as the user experience or the easiness to accomplish a specific task.
Several research actions and experiments support this investigation. These research actions included performing a systematic literature review and mapping of the literature that was aimed at finding how the software architectures in the literature have been used to support, analyze or enhance the human-computer interaction. Also, the actions included work on four different research scenarios that presented common challenges in the Human-Computer Interaction knowledge area. The case studies that fit into the scenarios selected were chosen based on the Human-Computer Interaction challenges they present, and on the authorsâ accessibility to them. The four case studies were: an educational laboratory virtual world, a Massive Open Online Course and the social networks where the students discuss and learn, a system that includes very large web forms, and an environment where programmers develop code in the context of quantum computing. The development of the experiences involved the review of more than 2700 papers (only in the literature review phase), the analysis of the interaction of 6000 users in four different contexts or the analysis of 500,000 quantum computing programs.
As outcomes from the experiences, some solutions are presented regarding the minimal software artifacts to include in software architectures, the behavior they should exhibit, the features desired in the extended software architecture, some analytic workflows and approaches to use, or the different kinds of feedback needed to reinforce the usersâ interaction and experience.
The results achieved led to the conclusion that, despite this is not a standard practice in the literature, the software environments should embrace Knowledge Discovery and data-driven principles to analyze and respond appropriately to the usersâ needs and improve or support the interaction. To adopt Knowledge Discovery and data-driven principles, the software environments need to extend their software architectures to cover also the challenges related to Human-Computer Interaction. Finally, to tackle the current challenges related to the usersâ interaction and experience and aiming to automate the software response to usersâ actions, desires, and behaviors, the interactive systems should also include intelligent behaviors through embracing the Artificial Intelligence procedures and techniques
Proyecto Europeo VALS y Semester of Code: PrĂĄcticas Virtuales en Empresas y Fundaciones relacionadas con el Software Libre a nivel Europeo
DifusioÌn y visibilidad de publicaciones cientiÌficas en Internet: ÂżQueÌ puede hacer el autor para promocionar su investigacioÌn?
CapĂtulo del libro "EducaFarma 2.0. White papers sobre innovaciĂłn aplicada en el ĂĄrea de las Ciencias Bio-Sanitarias" http://hdl.handle.net/10366/124134 publicado por la Facultad de Farmacia de la Universidad de Salamanca y editado por JonĂĄs Samuel PĂ©rez Blanco, Antonio Muro Ălvarez y Juan Cruz-BenitoEste artiÌculo supone un resumen de los contenidos del curso DifusioÌn y visibilidad de publicaciones cientiÌficas en Internet, impartido por el autor el diÌa 3 de abril del 2014 dentro del programa de cursos EducaFarma 2.0 de la Facultad de Farmacia de la Universidad de Salamanca. En este curso se ha intentado dar a conocer diversos entornos tecnoloÌgicos y estrategias de comunicacioÌn que ayudan a los autores de trabajos cientiÌficos a ponerlos a disposicioÌn de sus colegas de otros paiÌses o incluso del puÌblico en general. Estas acciones se caracterizan por poder ser llevadas a cabo por los propios investigadores, y valieÌndose de herramientas que permiten una amplia difusioÌn a un coste iÌnfimo o inexistente en muchas ocasiones
USALSIM: Learning, Professional Practices and Employability in a 3D Virtual World
Int. J. Technology Enhanced Learning, Vol. 5, Nos. 3/4, 2013 pp. 307-321 http://www.inderscience.com/info/inarticletoc.php?jcode=ijtel&year=2013&vol=5&issue=3/4[EN] USALSIM is a project developed by the University of Salamanca as a response to the policy changes of learning and work placements in the new European Space for Higher Education, funded by the Spanish Ministry of Education and inscribed within an innovation programme regarding the employability of university students (CAIE059). The contribution of USALSIM is concerned with how to face the increase in the number of students who will participate in the different university work placement programmes and the increasing number of companies and institutions necessary to host and train theses students. This project uses a 3D virtual environment (a work placement simulator) that creates a virtual representation of different work environments and allows students to acquire professional skills. Representing a professional workspace such as a laboratory, for example, the student can simulate common tasks through active learning. This virtual world is focused on a constructive pedagogy, whereby students are directly involved in their formative development, establishing professional relationships, developing transversal and technical competencies, and evaluating their knowledge
Nonlinear time-domain macromodeling of OTA circuits
The authors present an accurate nonlinear macromodel of the operational transconductance amplifier (OTA) which is suitable for the transient simulation of OTA-based CMOS analog integrated circuits. As compared to device-level OTA models, the proposed macromodel is advantageous in terms of CPU time. Also, in circuits with many OTAs, it does not have the problems of convergence that the device-level MODEL has. All the macromodel parameters can be calculated from measurements made at the OTA terminals. Experimental results from a 3-ÎŒm CMOS OTA prototype as well as simulation results from device-level models are included and compared to simulation results from the macromodel
Track on Knowledge Society Related Projects. Proceedings of the TEEMâ13
TEEM (Technological Ecosystems for Enhancing Multiculturality) Conference is born within the new PhD Programme on Education in Knowledge Society at the University of Salamanca, Spain.
This conference is addressing both the Social Sciences studies and the new technological advances but within a synergic and symbiotic approach. According to this perspective, a not closed set of different research lines, always with a collaborative orientation, is established, including Education Assessment and Orientation, Human-Computer Interaction, eLearning, Computers in Education, Communication Media and Education, Medicine and Education,
Robotics in Education, Engineering and Education and Information Society and Education
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