111 research outputs found
The Fun of Exploration: How to Access a Non-Standard Language Corpus Visually
Historical dictionaries and non-standard language corpora can greatly benefit from a visual access in order to grasp the inherent tangled and complex nature of the knowledge encapsulated in them. Although visual analytics has been used to tackle a number of language and document related problems, most dictionaries are still reproducing the book metaphor in which Web pages substitute the paper and the user experience is only enhanced by means of hyperlinks. Although fields such as dialectology and dialectal lexicography have incorporated Geographic Information Systems and advanced computational linguistics features, spatio-temporal dynamics can be discovered or understood if appropriate visual analytics techniques are used to surpass the idea of these linguistic resources as alphabetically ordered lists. In this paper we present the work carried out in this direction for the Dictionary of Bavarian Dialects in Austria. By means of multiple-linked views an access that fosters the exploratory analysis of the data is enabled
Documentación audiovisual del diseño de interacción: trabajo con prototipos
Memoria ID-313. Ayudas de la Universidad de Salamanca para la innovación docente, curso 2013-2014
BicOverlapper: a tool for bicluster visualization
BicOverlapper is a tool to visualize biclusters from gene-expression matrices in a way that helps to compare biclustering methods, to unravel trends and to highlight relevant genes and conditions. A visual approach can complement biological and statistical analysis and reduce the time spent by specialists interpreting the results of biclustering algorithms. The technique is based on a force-directed graph where biclusters are represented as flexible overlapped groups of genes and conditions. AVAILABILITY: The BicOverlapper software and supplementary material are available at http://vis.usal.es/bicoverlappe
Addressing Fine-Grained Variability in User-Centered Software Product Lines: A Case Study on Dashboards
Software product lines provide a theoretical framework to generate
and customize products by studying the target domain and by capturing the
commonalities among the potential products of the family. This domain
knowledge is subsequently used to implement a series of configurable core
assets that will be systematically reused to obtain products with different features
to match particular user requirements. Some kind of interactive systems,
like dashboards, require special attention as their features are very fine-grained.
Having the capacity of configuring a dashboard product to match particular user
requirements can improve the utility of these products by providing the support
to users to reach useful insights, in addition to a decrease in the development
time and an increase in maintainability. Several techniques for implementing
features and variability points in the context of SPLs are available, and it is
important to choose the right one to exploit the SPL paradigm benefits to the
maximum. This work addresses the materialization of fine-grained variability in
SPL through code templates and macros, framed in the particular domain of
dashboards
Towards a Technological Ecosystem to Provide Information Dashboards as a Service: A Dynamic Proposal for Supplying Dashboards Adapted to Specific Scenarios
[EN]Data are crucial to improve decision-making and obtain greater benefits in any type of
activity. However, the large amount of information generated by new technologies has made data
analysis and knowledge generation a complex task. Numerous tools have emerged to facilitate
this generation of knowledge, such as dashboards. Although dashboards are useful tools, their
effectiveness can be affected by poor design or by not taking into account the context in which
they are placed. Therefore, it is necessary to design and create custom dashboards according to
the audience and data domain. This paper presents an application of the software product line
paradigm and the integration of this approach into a web service to allow users to request source
code for customized information dashboards. The main goal is to introduce the idea of creating a
holistic ecosystem of different services to craft and integrate information visualizations in a variety of
contexts. One of the contexts that can be especially favored by this approach is the educational context,
where learning analytics, data analysis of student performance, and didactic tools are becoming very
relevant. Three different use cases of this approach are presented to illustrate the benefits of the
developed generative service
Taking advantage of the software product line paradigm to generate customized user interfaces for decision-making processes: a case study on university employability
[EN]University employment and, specifically, employability has gained relevance since research in these fields can lead to improvement in the quality of life of individual citizens. However, empirical research is still insufficient to make significant decisions, and relying on powerful tools to explore data and reach insights on these fields is paramount. Information dashboards play a key role in analyzing and visually exploring data about a specific topic or domain, but end users can present several necessities that differ from each other, regarding the displayed information itself, design features and even functionalities. By applying a domain engineering approach (within the software product line paradigm), it is possible to produce customized dashboards to fit into particular requirements, by the identification of commonalities and singularities of every product that could be part of the product line. Software product lines increase productivity, maintainability and traceability regarding the evolution of the requirements, among other benefits. To validate this approach, a case study of its application in the context of the Spanish Observatory for University Employability and Employment system has been developed, where users (Spanish universities and administrators) can control their own dashboards to reach insights about the employability of their graduates. These dashboards have been automatically generated through a domain specific language, which provides the syntax to specify the requirements of each user. The domain language fuels a template-based code generator, allowing the generation of the dashboards' source code. Applying domain engineering to the dashboards' domain improves the development and maintainability of these complex software products given the variety of requirements that users might have regarding their graphical interfaces
Advances in the use of domain engineering to support feature identification and generation of information visualizations
Information visualization tools are widely used to better understand
large and complex datasets. However, to make the most out of them,
it is necessary to rely on proper designs that consider not only the
data to be displayed, but also the audience and the context. There are
tools that already allow users to configure their displays without
requiring programming skills, but this research project aims at
exploring the automatic generation of information visualizations
and dashboards in order to avoid the configuration process, and
select the most suitable features of these tools taking into account
their contexts. To address this problem, a domain engineering, and
machine learning approach is proposed
How Evolutionary Visual Software Analytics Supports Knowledge Discovery
[EN] Evolutionary visual software analytics is a specialization of visual analytics. It is aimed at supporting software maintenance processes by aiding the understanding and
comprehension of software evolution with the active participation of users. Therefore, it
deals with the analysis of software projects that have been under development and maintenance for several years and which are usually formed by thousands of software artifacts,which are also associated to logs from communications, defect-tracking and software configuration management systems. Accordingly, evolutionary visual software analytics aims to assist software developers and software project managers by means of an
integral approach that takes into account knowledge extraction techniques as well as
visual representations that make use of interaction techniques and linked views. Consequently,this paper discusses the implementation of an architecture based on the evolutionary visual software analytics process and how it supports knowledge discovery during software maintenance tasks.[ES] Analítica de software visual evolutivos es una especialización de la analítica visual. Está dirigido a apoyar los procesos de mantenimiento de software, ayudando al entendimiento y la comprensión de la evolución del software, con la participación activa de los usuarios. Por lo tanto, tiene que ver con el análisis de los proyectos de software que han estado bajo desarrollo y mantenimiento por varios años y que por lo general están formados por miles de artefactos de software, que también están asociadas a los registros de las comunicaciones, seguimiento de defectos y sistemas de gestión de configuración de software. En consecuencia, la analítica de software visual evolutivos tiene como objetivo ayudar a los desarrolladores de software y administradores de proyectos de software a través de un enfoque integral que tenga en cuenta las técnicas de extracción de conocimiento, así como representaciones visuales que hacen uso de técnicas de interacción y vistas enlazadas. En consecuencia, en este documento se analiza la implementación de una arquitectura basada en el proceso de analítica de software visual evolutivos y la forma en que apoya el descubrimiento de conocimiento durante las tareas de mantenimiento de softwar
Tailored information dashboards: A systematic mapping of the literature
Information dashboards are extremely useful tools to exploit knowledge. Dashboards enable users to reach insights and to identify patterns within data at-a-glance. However, dashboards present a series of characteristics and configurations that could not be optimal for every user, thus requiring the modification or variation of its features to fulfill specific user requirements. This variation process is usually referred to as customization, personalization or adaptation, depending on how this variation process is achieved. Given the great number of users and the exponential growth of data sources, tailoring an information dashboard is not a trivial task, as several solutions and configurations could arise. To analyze and understand the current state-of-the-art regarding tailored information dashboards, a systematic mapping has been performed. This mapping focus on answering questions regarding how existing dashboard solutions in the literature manage the customization, personalization and/or adaptation of its elements to produce tailored displays
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