Abstract
In a higher education institution, professors and researchers may have to perform several distinct roles and activities such as teaching, researching, management, and community outreach. The performance evaluation of these professionals must consider a wide range of information, which is used in a complex evaluation process. This work reports the development and introduction of an information system to digitally manage the complete performance evaluation process in a higher education institution (HEI), including the collection, process, and report of information. The ultimate objective of the project was to electronically support the evaluation process, which was attained by collecting and combining data from several sources and later processed. This approach rendered a viable evaluation process that otherwise would be painful to implement. © Springer International Publishing AG, part of Springer Nature 2018.

Abstract
The health centers group (ACES) “Douro Sul II” is creating a Community Support Team for Palliative Care (ECSCP) in order to provide palliative care services for the ACES’s population of 73,713 registered users. The team comes as a follow-up from a strategic plan, recently issued by the health ministry, in order to serve the patients in their own homes, providing the necessary support to them, to their families, and their caregivers. This approach has several benefits for the patients and their families, as well as for the healthcare system itself. To further promote the effectiveness of the ECSCP team, it was planned to develop an information system (IS), comprising several application modules, with the main objective to monitor the patients in their homes and deliver information to support the planning and execution of the ECSCP team activities. The system is based on an electronic services platform and several mobile and web applications, to be used by the patients, team’s staff and coordination. This way, we expect to overcome the geographic issues of the ACES territory, as well as the team’s human resources constraints, while remotely monitoring the patients and providing the necessary support, if and when needed, contributing to maintaining the conditions for the patients to live with dignity and quality in the comfort of their own homes. Copyright

Abstract
Experiences with online learning in higher education are increasing in number. This is due to advancements in technology, technological savviness of teachers and students, evolution of teaching practices, and changes in student expectations. That is why understanding learners’ and teachers’ needs, expectations, and perceptions of their proficiency and use of information and communication technologies (ICTs) is critical to the success of the integration of technologies in higher education. The purpose of this paper is to reflect on teachers’ needs and expectations about ICT adoption in higher education, based on the results of a questionnaire, applied in a Portuguese university. The questionnaire explores what motivates teachers to use ICT tools in the context of teaching in higher education. It also intended to reveal which tools are most used from the ones available, as well as the needs and requirements that are not covered by the existing tools and services provided. The results allowed to analyze the usefulness of the measures implemented for teachers and consider new ones, more appropriate to the reality in permanent change by the constant evolution of the technologies used in the pedagogical practices. © Springer International Publishing AG, part of Springer Nature 2018.

Abstract
The aging process causes physical and psychological changes, as well as social changes. It is one of the major risk factors for the onset of diseases and introduces restrictions on people's lifestyle. Although it constitutes a natural process undergone by every human being, the consequences of aging may be intensified by the deterioration of the social bonds and the loss of contact with family and friends, particularly when the elderly are permanently moved to an elderly care residence center. The usage of telepresence devices has been suggested to promote social interactions between older people and their social groups, allowing people to be in touch even though they are not close. This paper reviews four cases of telepresence robots being used to support the elderly and concludes that this type of solution and technology has made considerable progress, currently finding itself in its maturity stage, as shown by the cases described.

Abstract
For elderly people, social isolation is one significant factor in the deterioration of their life's quality. It has a profound impact on the general health and is produced by the diminution of social interactions. Nowadays, there is technology that can retrieve contextual data from the user's environment and interact with him in some simple, yet effective manners. The intelligent personal assistants can interact with the person by means of natural voice language. Previously, it was created a model for the adoption of electronic intelligent assistants by the elderly, as well a preliminary evaluation of the features of the intelligent personal assistants, currently available in the consumer market. In this article, it is evaluated the option of using the current consumer digital assistants to implement the proposed model. Several assistants were examined (Amazon, Google, Microsoft, and Apple), and their functionalities evaluated by creating four interaction scenarios and assessing the assistants' compliance with these scenarios.

Abstract
Facial expressions are a spontaneous way of perceiving emotions, which can provide information related to the cognitive state of a person. Facial expression recognition of the elderly is an important aid to better care them, according to their state of mind, although it can be a difficult task because their expressions might not be as easily perceived as those from younger persons. We proposed a model to classify the facial expressions of the elderly, presenting the differences between facial expression recognition in the elder and in other age group, as well as methods to surpass these difficulties. Viola Jones with Haar Features was used to extract the faces and Gabor Filter to extract the facial characteristics. These characteristics are classified using a Multiclass Support Vector Machine. We got an accuracy of 90.32%, 84.61% and 66.6%, when detecting the neutral state, happiness and sadness respectively in the elderly. In the other age group, we got an accuracy of 95.24%, 88.57%, and 80%, while detecting the neutral, happiness, and sadness states and concluded that aging influences negatively the facial expressions recognition tasks.