Abstract
Augmented Reality (AR) platforms are being used for an extensive array of applications. One of the critical moments of online shopping is the choice of product. Ideally, consumers should be able to try the product before pressing on add to cart button. The experimental design discussed in the article compares two different optical tracking systems of ARa marker-based AR (MB) and a markerless AR (ML) for two types of interfaces: tangible and multimodal based on gesture recognition, respectively. Both AR technologies allow the consumer to virtually visualize sport shoes' features. Although the interface systems affect the facial/body expression of participants, the self-reported arousal does not change. In contrast with the literature, the usability of the MB (tangible) AR is considered better than the ML (gesture-based recognition) AR option. The probability of recommending the displayed brand is higher under ML (gesture-based recognition) AR than the MB (tangible) AR. Some covariates and factors such as positive/negative emotional traits, tendency to adopt innovation, and familiarity with the brand interfere with the impact of both AR technologies on the dependent variables.

Abstract
Breast cancer treatments can have a negative impact on breast aesthetics, in case when surgery is intended to intersect tumor. For many years mastectomy was the only surgical option, but more recently breast conserving surgery (BCS) has been promoted as a liable alternative to treat cancer while preserving most part of the breast. However, there is still a significant number of BCS intervened patients who are unpleasant with the result of the treatment, which leads to self-image issues and emotional overloads. Surgeons recognize the value of a tool to predict the breast shape after BCS to facilitate surgeon/patient communication and allow more educated decisions; however, no such tool is available that is suited for clinical usage. These tools could serve as a way of visually sensing the aesthetic consequences of the treatment. In this research, it is intended to propose a methodology for predict the deformation after BCS by using machine learning techniques. Nonetheless, there is no appropriate dataset containing breast data before and after surgery in order to train a learning model. Therefore, an in-house semi-synthetic dataset is proposed to fulfill the requirement of this research. Using the proposed dataset, several learning methodologies were investigated, and promising outcomes are obtained.

Abstract
Depression is a psychiatric disorder and major contributor to the burden of disease worldwide. The strength of evidence of the benefits of exercise as a therapeutic intervention for patients with depression has expanded in the last 30 years. In fact, the available evidence indicates exercise can not only help manage depressive symptoms, but also effect significant improvements in other health outcomes. Clinical guidelines including such recommendations have been issued by different agencies, namely the UK National Institute for Health and Clinical Excellence (NICE), the American Psychiatric Association (APA), and the Royal Australian and New Zealand College of Psychiatrists (RANZCP). With increasing recognition of the benefits of exercise and shortcomings of healthcare systems, other countries, such as Sweden and Canada, have included exercise in their national guidelines for treating depression. Unfortunately, progress in incorporating exercise guidelines into clinical practice has been slow, and Portugal and Brazil reflect this reality. In this update, we reemphasize the importance of bridging this gap and integrating exercise into clinical practice guidelines as an essential component of depression treatment.

Abstract
Decision making is an important role performed by managers. This chapter will analyze the importance of information systems (IS) on the decision-making process at rural organizations in Portugal's Algarve region. Managers' perceptions were analyzed and compared with the decision-making process model proposed in this chapter, which was based on the models of Simon (1977) and Mintzberg, Raisinghani, and Theorêt (1976). This chapter will discuss the capacity of rural tourism organizations to solve problems, as well as review the time needed to solve problems through the use of IS. This chapter will conclude that IS in the organizational decision-making process is positively related to the identification of the decision-making problem and time needed to solve the problems. This investigation will allow other sectors the opportunity to discuss decision process models based on technology, information capability, and organizational competitiveness.

Abstract
Educational Robotics has been presented as a great pedagogical tool because it demonstrates an attractive way of working the theoretical knowledge put into practice. Thus, several educational technologies have emerged with different approaches, with the purpose of applying robotics in the educational area in a more attractive and playful way. This article presents the conduction of a Systematic Review of Literature (SRL), whose objective is to identify the teaching approaches used with educational robotics. With this, we present experiences reports, and at the same time show the skills and competencies that are explored through robotics and education. This review uses scientific papers published in the period from 2011 to 2016.

Abstract