Análisis de la página web del canal Antena 3: oferta de contenidos, interactividad y redes sociales

Antena 3 es una de las cadenas de televisión más importantes en España y es la cadena española pionera en la apuesta por las nuevas tecnologías. Por ello, es de interés analizar su web para determinar su oferta de contenidos y las herramientas utilizadas para interactuar con sus públicos identificando, además, el uso que hace de las redes sociales. Con este objetivo, se realiza un análisis cualitativo del sitio web centrado en analizar veintiuna variables focalizadas en los campos descritos (contenidos, interactividad y redes sociales). Estas han sido establecidas a partir de la combinación de parámetros formulados en la propuesta de análisis de webs de televisión de Codina, Aubia y Sánchez (2008) y los indicadores de interacción descritos por Rodríguez-Martínez, Codina y Pedraza-Jiménez (2012). Gracias a ellas, es posible determinar la carencia de Antena3 en la gestión de sus perfiles sociales y en la interactividad generada mediante la comunidad virtual que conforma a través de su espacio web. No obstante, estas variables también justifican cómo, a pesar de esto, antena3.com es un espacio en el que la cadena pone a disposición del usuario una completa y bien organizada oferta de contenidos apostando así, por la difusión de estos a través de Internet.

Assisting End-users in Filling Out Web Services

With the quick advance of web service technologies, end-users can conduct various on-line tasks, such as shopping on-line. Usually, end-users compose a set of services to accomplish a task, and need to enter values to services to invoke the composite services. Quite often, users re-visit websites and use services to perform re-occurring tasks. The users are required to enter the same information into various web services to accomplish such re-occurring tasks. However, repetitively typing the same information into services is a tedious job for end-users. It can negatively impact user experience when an end-user needs to type the re-occurring information repetitively into web services. Recent studies have proposed several approaches to help users fill in values to services automatically. However, prior studies mainly suffer the following drawbacks: (1) limited support of collecting and analyzing user inputs; (2) poor accuracy of filling values to services; (3) not designed for service composition. To overcome the aforementioned drawbacks, we need maximize the reuse of previous user inputs across services and end-users. In this thesis, we introduce our approaches that prevent end-users from entering the same information into repetitive on-line tasks. More specifically, we improve the process of filling out services in the following 4 aspects: First, we investigate the characteristics of input parameters. We propose an ontology-based approach to automatically categorize parameters and fill values to the categorized input parameters. Second, we propose a comprehensive framework that leverages user contexts and usage patterns into the process of filling values to services. Third, we propose an approach for maximizing the value propagation among services and end-users by linking a set of semantically related parameters together and similar end-users. Last, we propose a ranking-based framework that ranks a list of previous user inputs for an input parameter to save a user from unnecessary data entries. Our framework learns and analyzes interactions of user inputs and input parameters to rank user inputs for input parameters under different contexts.

Mobile Web applications

This document presents the work that was elaborated at the company Present Technologies as part of the academic discipline Internship/Industrial Project for the Master’s degree in Informatics and Systems, Software Development branch, at Instituto Superior de Engenharia de Coimbra. The area of the mobile web applications has grown exponentially over the last few years turning it into a very dynamic field where new development platforms and frameworks are constantly emerging. Thus, the internship consisted in the study of two new mobile operating systems, Tizen and Firefox OS, as well as two frameworks for packaging of mobile web applications – Adobe PhoneGap and Appcelerator Titanium. These platforms are in the direct interest of Present Technology since it pretends to use them in its future projects in general and in the Phune Gaming project in particular. Since Television is one of the Present Technologies’ business areas, during the course of the internship it was decided to perform additionally a study of two Smart TV platforms, namely Samsung Smart TV and Opera TV, which was considered as a valuable knowledge for the company. For each of the platforms was performed a study about its architecture, supported standards and the development tools that are provided, nevertheless the focus was on the applications and for this reason a practical case study was conducted. The case studies consisted in the creation of a prototype or packaging of an application, for the case of the packaging tools, in order to prove the feasibility of the applications for the Present Technologies’ needs. The outcome of the work performed during the internship is that it raised the awareness of Present Technology of the studied platforms, providing it with prototypes and written documentation for the platforms’ successful usage in future projects.

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