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- Applying UTAUT Model for an Acceptance Study Alluding the Use of Augmented Reality in Archaeological SitesPublication . Marto, Anabela; Gonçalves, Alexandrino; Martins, José; Bessa, MaximinoLooking forward to enhance visitors’ experience among cultural heritage sites, the use of new technologies within these spaces has seen a fast growth among the last decades. Regarding the increasing technological developments, the importance of understanding the acceptance of technology and the intention to use it in cultural heritage sites, also arises. The existing variety of acceptance models found in literature relatively to the use of technology, and the uncertainty about selecting a suitable model, sparked this research. Accordingly, the current study aims to select, evaluate and analyse an acceptance model, targeted to understand the behavioural intention to use augmented reality technology in archaeological sites. The findings of this research revealed UTAUT as a suitable model. However, regarding the collected data, some moderators’ impact presented in the original study may change significantly. In addition, more constructs can be considered for wider understandings.
- Smart time: A context-aware conversational agent for suggesting free time activities (invited paper)Publication . Frazão, Alexandre; Maltez, Ricardo; Caceiro, Ruben; Grilo, Carlos; Ribeiro, JoséThis work describes a conversational agent, integrated into the Google Assistant platform, which is able to recommend personalised leisure activities for a user's free time. Smart Time is a context-aware Action on Google capable of extracting free slots from a user's calendar and recommend customised activities { which include book, restaurant or outdoor recommendations { in accordance to his/her specific context computed with basis on data extracted from the smart device's various sensors. Additionally, the conversational agent integrates a constantly evolving recommendation engine, which is able to adapt in accordance to the user's choices.
- Motivational and attraction factors of tourists in the central region of PortugalPublication . Oliveira, Margarida; Santos, Eulália; Rodrigues, SusanaTourism is the fastest growing sector in the world, leading to the creation of businesses, infrastructures, employment and revenue. The central region of Portugal combines ideal conditions to be a tourist destination in motivational and attractive terms, due to the great diversity of resources that it offers its visitors: climate, landscapes, monuments, museums, gastronomy, beaches, caves and different religious, cultural, sports and leisure activities. Despite the tragedy of the fires that devastated the central region of Portugal, the year 2017 was the best year ever for tourism in this region, in terms of overnight stays, guests and generated income. The current research attempts to: a) analyse the relationship between the motivational (push) and the attraction (pull) factors of the tourists that visit the central region of Portugal; b) identify which of the motivational factors most contribute to attract tourists and c) know the tourists’ opinion about places/experiences that could lead to tourist routes in this region. A quantitative survey instrument; i.e. a questionnaire was used to collect the data. The questionnaire was divided into three parts. The first part of the questionnaire deals with the motivational factors, the second part refers to the attraction factors and the third part analyses the places/experiences to be incorporated in tourist routes of the central region of Portugal and the tourist profile. The sample is made up of 235 tourists who visited the central region of Portugal from March 15th to August 31st, 2018. A descriptive, multivariate and statistical inference was used to analyse the data. The results show that there is a positive and statistically significant relationship between “push” factors and “pull” factors for tourists that visit the central region of Portugal. Escape and Self-renew and Interpersonal Relationships and Experiences are the dimensions that contribute most to the “pull” factors. The results have theoretical and managerial implications, contributing to the knowledge of tourism and to improve tourism decision-making in the central region of Portugal.
- Some results on Gaussian mixturesPublication . Felgueiras, Miguel; Santos, Rui; Martins, João PauloWe investigate Gaussian mixtures with independent components, whose parameters are numerically estimated. A decomposition of a Gaussian mixture is presented when the components have a common variance. We introduce a shifted and scaled t-Student distribution as an approximation for the distribution of Gaussian mixtures when their components have a common mean and develop a hypothesis test for testing the equality of the components means. Finally, we analyse the fitness of the approximate model to the logarithmic daily returns of the Portuguese stock index PSI-20.
- Use of information technology in educational contexts: Case study of CCMI DigitalPublication . Pinto, Filipe Mota; Guarda, Teresa; Augusto, Maria Fernanda; Torres, Washington; Bustos, Samuel; Villao, Freddy; Mazon. LuisThe adoption of information and communication technologies in educational contexts is a highly debated and studied topic. Technologies have changed not only the teacher-student paradigm but also, in general, all the relationships of academic communities. This article presents the CCMI Digital project that is intended to be achieved within academic communities, with a view to the creation of virtual learning communities supported by the triple relationship: the education of teacher-direction-tutors.
- Maximum likelihood estimation in pooled sample testsPublication . Martins, João Paulo; Felgueiras, Miguel; Santos, RuiPooled sample tests, firstly used on the classification problem (identifying all individuals with some characteristic), may also be applied to estimate the prevalence rate. Moreover, the pooled sample methods may attain greater efficiency when applied to estimate some prevalence rate, since it is no longer necessary to perform any individual test.We develop a maximum likelihood computational algorithm for the prevalence rate estimation, and we analyze its performance.
- Reinforced PCL scaffolds with Eggshell powderPublication . Biscaia, S. I.; Viana, T.F.; Almeida, H.A.; Bártolo, P.Hen eggshells (ES), a natural biomaterial from bone-like minerals, has been considered a promising bone substitute to be totally resorbable and biocompatible with good osteoconductivity. The ES represents 11% of the total weight of the egg and it is mainly composed of calcium carbonate (94%), magnesium carbonate (1%), tricalcium phosphate (1%), and organic matter (4%). The purpose of this study was to investigate the addition of ES powder on poly(ε.-caprolactone) (PCL) scaffolds. Morphological and physical analyses were performed to investigate the influence of the ES powder on the properties of the PCL scaffolds.
- The interaction between intra-stride variation of the velocity and mean race walking velocityPublication . Morouço, P.G.; Barbosa, T.Introduction The intra-stride/cycle variation of body velocity (dv) is considered as an estimator of the energy cost of locomo-tion or efficiency in some forms of human locomotion, including waking, running, trotting and swimming (1, 2). Previous studies reported nonlinear relationships between dv and velocity (v) for land and aquatic locomotion tech-niques (2,3). The aim of this study was to examine possible relationships between the dv and the v in race walking.
- Enhancement method for multiple description decoding of depth maps subject to random lossPublication . P. Correia; Marcelino, S.; Assuncao, P.; Faria, S.; S. Soares; C. Pagliari; E. da SilvaThis paper proposes a method to improve the quality of depth maps transmitted in multiple descriptions through multipath error prone networks. Whenever a single description is lost, the remaining ones are still able to provide a coarsely decoded version of the depth map. While in multiple description video, such coarse decoding is still acceptable for display, in the case of depth maps the additional decoding distortion propagates through the corresponding view synthesis. The proposed method is capable of enhancing low quality depth maps decoded from one single description, based on geometric information available in coarsely decoded slices, combined with higher quality depth values in adjacent slices decoded from both descriptions. In comparison with existing MDC decoders, the enhancement method achieves quality gains in synthesised views up to 1.69dB for packet loss rates of 10%.
- A novel trilateral filter technique for depth map processing in 3D video codingPublication . Guarda, André F. R.; Santos, João M.; Graziosi, Danillo B.; Rodrigues, Nuno M. M.; Faria, Sérgio M. M.Free viewpoint video communication is one of the most interesting schemes for an immersive 3D experience, but it requires multiple views of the same scene. In order to limit the number of transmitted views, depth representations of the scene are used for depth image-based rendering, to generate virtual views at the receiver. Nevertheless, the video-plus-depth approach presents an additional burden of data that may be attenuated by coding down-sampled depth maps. This is able to achieve significant bit rate savings, specially for higher compression ratios, at the expense of some degradation on the quality of the decoded depth maps. However, as these techniques heavily rely on the quality of the depth maps, post-processing methods, such as filtering, are used to restore its quality. In this work we propose a new depth map processing method that is able to improve the image rendering quality. Experimental results show that a better rendering quality is achieved, when compared to other commonly used filters.