Abstract
Promoting a healthy lifestyle, including the practice of sport activities, is a very topical subject. In this paper, we present a project related to a game that allows two or more players to take part in competitive running using a simulator consisting of physical equipment, a fixed bike, a controller and a supervisor program. The main goal is the promotion of sports through computer games. © 2011 AISTI.

Abstract

Abstract
This paper describes an approach to the model-based testing of graphical user interfaces from task models. Starting from a task model of the system under test, oracles are generated whose behaviour is compared with the execution of the running system. The use of task models means that the effort of producing the test oracles is reduced. It does also mean, however, that the oracles are confined to the set of expected user behaviours for the system. The paper focuses on solving this problem. It shows how task mutations can be generated automatically, enabling a broader range of user behaviours to be considered. A tool, based on a classification of user errors, generates these mutations. A number of examples illustrate the approach. Copyright 2011 ACM.

Abstract
The Internet plays an important role in higher education institutions where Learning Management Systems (LMS) occupies a main role in the eLearning realm. In this chapter we aim to characterize the Internet and LMS usage patterns and their role in the largest Portuguese Polytechnic Institute. The usage patterns were analyzed in two components: characterization of Internet usage and the role of Internet and LMS in education. Using a quantitative approach, the data analysis describes the differences between gender, age and scientific fields. The carried qualitative analysis allows a better understanding of students' both motivations, opinions and suggestions of improvement. The outcome of this work is the presentation of the Portuguese students' profile regarding Internet and LMS usage patterns. We expect that these results can be used to select the most suitable digital pedagogical processes and tools to be adopted regarding the learning process and most adequate LMS's policies. © 2012, IGI Global.

Abstract
Purpose - The intent of this work is to evaluate several generalist and health-specific search engines for retrieval of health information by consumers: to compare the retrieval effectiveness of these engines for different types of clinical queries, medical specialties and condition severity; and to compare the use of evaluation metrics for binary relevance scales and for graded ones. Design/methodology/approach - The authors conducted a study in which users evaluated the relevance of documents retrieved by four search engines for two different health information needs. Users could choose between generalist (Bing, Google, Sapo and Yahoo!) and health-specific (MedlinePlus, SapoSande and WebMD) search engines. The authors then analysed the differences between search engines and groups of information needs with six different measures: graded average precision (gap), average precision (ap), gap@5, gap@10, ap@5 and ap@10. Findings The results show that generalist web search engines surpass the precision of health-specific engines. Google has the best performance, mainly in the top ten results. It was found that information needs associated with severe conditions are associated with higher precision, as are overview and psychiatry questions. Originality/value - The study is one of the first to use a recently proposed measure to evaluate the effectiveness of retrieval systems with graded relevance scales. It includes tasks from several medical specialties, types of clinical questions and different levels of severity which, to the best of the authors' knowledge, has not been clone before. Moreover, users have considerable involvement in the experiment. The results help in understanding how search engines differ in their responses to health information needs, what types of online health information are more common on the web and how to improve this type of search.

Abstract
The Web is being increasingly used by health consumers to search for health information. In this domain, the quality of the retrieved contents is crucial to avoid healthcare hazards. To address this problem and help the user identify reliable and credible contents, initiatives have appeared that certify the compliance of health websites to quality standards. In this work we explore the impact of medical certification on several aspects of health information retrieval performance. Moreover, we analyze the usefulness of certification categories to the personalization of the search experience. Our findings suggest that medical certification might be incorporated as a ranking criterion. We conclude that the medical accuracy of the resulting knowledge is enhanced by the use of certified information and depends on the users' comprehension of the document. In general, we also conclude that there is space for personalization in search by health consumers. © 2011 Springer-Verlag Berlin.