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Recent developments in extended reality (XR) are already demonstrating the benefits of this technology in the educational sector. Unfortunately, educators may not be familiar with XR technology and may find it difficult to adopt this technology in their classrooms. This article presents the overall architecture and objectives of an EU-funded project dedicated to XR for education, called Extended Reality for Education (XR4ED). The goal of the project is to provide a platform, where educators will be able to build XR teaching experiences without the need to have programming or 3-D modeling expertise. The platform will provide the users with a marketplace to obtain, for example, 3-D models, avatars, and scenarios; graphical user interfaces to author new teaching environments; and communication channels to allow for collaborative virtual reality (VR). This article describes the platform and focuses on a key aspect of collaborative and social XR, which is the use of avatars. We show initial results on a) a marketplace which is used for populating educational content into XR environments, b) an intelligent augmented reality assistant that communicates between nonplayer characters and learners, and c) self-avatars providing nonverbal communication in collaborative VR.

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With the widespread advent of visualization techniques to convey complex data, visualization literacy (VL) is growing in importance. Two noteworthy facets of literacy are user understanding and the discovery of visual patterns with the help of graphical representations. The research literature on VL provides useful guidance and opportunities for further studies in this field. This introduction summarizes and presents research on VL that examines how well users understand basic and advanced data representations. To the best of our knowledge, this is the first tutorial article on interactive VL. We describe evaluation categories of existing relevant research into unique subject groups that facilitate and inform comparisons of literacy literature and provide a starting point for interested readers. In addition, the introduction also provides an overview of the various evaluation techniques used in this field of research and their challenging nature. Our introduction provides researchers with unexplored directions that may lead to future work. This starting point serves as a valuable resource for beginners interested in the topic of VL.

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Rayground is a novel online framework for fast prototyping and interactive demonstration of ray tracing algorithms. It aims to set the ground for the online development of ray-traced visualization algorithms in an accessible manner for everyone, stripping off the mechanics that get in the way of creativity and the understanding of the core concepts. Due to the COVID-19 pandemic, remote teaching and online coursework have taken center stage. In this work, we demonstrate how Rayground can incorporate advanced instructive rendering media during online lectures as well as offer attractive student assignments in an engaging, hands-on manner. We cover things to consider when building or porting methods to this new development platform, best practices in remote teaching and learning activities, and time-tested assessment and grading strategies suitable for fully online university courses.

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This article details a system titled "Camera as Mediator" that was built to aid undergraduate Film Studies students study camera placement and shot composition techniques. Learning how camera placement impacts a film is a common educational outcome in undergraduate Film Studies classes. However, building a controlled set with proper lighting, actors, and props is a cost- and time-prohibitive task in a typical introductory course. A virtual system can give students more hands-on experience and leave ample time to focus on core learning outcomes. To this end, we constructed a photorealistic virtual environment to replicate a scene from the Charlie Chaplin film "The Gold Rush" using computer-generated models and three-dimensional scans of actors dressed as the characters from the movie. An interface was designed to allow students to navigate around the scene with a virtual camera and capture shots from perspectives not visible in the original movie. By saving and comparing these different shots, students are easily able to explore how the mood and feel of a story changes with the camera's perspective. Doing this virtually enables undergraduate students in large classes and/or online classes and with potentially limited time and equipment to study film making techniques in greater depth than they would otherwise.

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Data visualization is hard to master because of the inherent complexities that characterize the challenge of facilitating understanding. Competence with data visualization is gaining in recognition as an essential capability and thus fostering the necessary skills is paramount to prepare students for their future professional activity in this field; yet, it is a challenge for educators to design programs that cover all facets. This article presents a framework that profiles the range of different capability "ingredients" which form the recipe of expertise in data visualization, from the point of view of an experienced practitioner.

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Data charts are widely used in our daily lives, being present in regular media, such as newspapers, magazines, web pages, books, and many others. In general, a well-constructed data chart leads to an intuitive understanding of its underlying data. In the same way, when data charts have wrong design choices, a redesign of these representations might be needed. However, in most cases, these charts are shown as a static image, which means that the original data are not usually available. Therefore, automatic methods could be applied to extract the underlying data from the chart images to allow these changes. The task of recognizing charts and extracting data from them is complex, largely due to the variety of chart types and their visual characteristics. Other features in real-world images that can make this task difficult are photo distortions, noise, alignment, etc. Two computer vision techniques that can assist this task and have been little explored in this context are perspective detection and correction. These methods transform a distorted and noisy chart in a clear chart, with its type ready for data extraction or other uses. This paper proposes a classification, detection, and perspective correction process that is suitable for real-world usage, when considering the data used for training a state-of-the-art model for the extraction of a chart in real-world photography. The results showed that, with slight changes, chart recognition methods are now ready for real-world charts, when taking time and accuracy into consideration.

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National Patient Registries (NPR) have an important role in the management of haemophilia and other inherited bleeding disorders, representing powerful instruments to support healthcare and research. Computer software to assist the NPR is crucial, as it facilitates the introduction of the data from a national universe that will be centralized and merged into a unique location, thus ensuring a greater reliability and accuracy of the collected data, avoiding duplication of patients. In Portugal, despite the efforts and recognition of the need of a NPR, just recently the protocol for the establishment of the computer software to support the Portuguese National Registry of Haemophilia and other Congenital Coagulopathies (PorR H&CC) was approved. This paper aims to present this newly developed computerized solution, as well as to report the main variables and information that will be available. The development of this application, which includes a set of socio-demographic, clinical and treatment data, was based on the principles of WFH, and the database that supports the NPR, with anonymized data, is operated and maintained in accordance with the Data Protection Law. Currently, the first data are available on the application. Our focus now is to ensure more registries and continuous data entry in order to have complete information on the characterization of the haemophilia patient population in Portugal.

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In an effort to develop visualization analysis and design skills in master's level information visualization students, the authors use a well-known analytical usability evaluation method, heuristic evaluation, with different sets of heuristics to teach students to analyze visualization applications. The proposed approach, used for three consecutive years, has successfully stimulated critical analysis and discussion sessions as well as helped raise students' awareness concerning the benefit of using systematic analysis methods and the strategies and guidelines that should be used to design visualization applications.

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Geophysical experts aimed to establish a method to identify contamination by landfill leakage without chemically analyzing subsoil samples, which is time-consuming and expensive. To that end, researchers developed a software package that let the experts create 3D visualizations of geophysical data acquired around the landfill and apply statistical analysis to detect anomalous values. The data used, electrical resistivity, are typically sparse. So, the application employs kriging to interpolate the data and provide a volumetric representation of the subsoil resistivity. To avoid invalid conclusions, the visualization also represents uncertainty. The application enabled the experts to better understand the phenomenon and to develop and validate their method. Their evaluation of the application indicated that it helped them throughout the method's development and significantly eased their workload.

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DETI-Interact is an interactive system that offers information relevant to students in the lobby of the University of Aveiro's Department of Electronics, Telecommunications and Informatics (DETI). The project started in 2009 with a master's thesis addressing interaction with public displays through Android smartphones. Since then, it has evolved considerably; it currently allows gesture interaction based on a Kinect sensor. Meanwhile, it has involved third-year students, master's students, and undergraduate students participating in a research initiation program.

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Modern methods of information and communication that use web technologies provide an opportunity to facilitate closer communication between patients and healthcare providers, allowing a joint management of chronic diseases. This paper describes a web-based technological solution to support the management of inherited bleeding disorders integrating, diffusing and archiving large sets of data relating to the clinical practice of hemophilia care, more specifically the clinical practice at the Hematology Service of Coimbra Hospital Center (a Hemophilia Treatment Center located in Portugal).

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RATIONALE AND OBJECTIVES: Pulmonary contour extraction from thoracic x-ray computed tomography images is a mandatory preprocessing step in many automated or semiautomated analysis tasks. This study was conducted to quantitatively assess the performance of a method for pulmonary contour extraction and region identification. MATERIALS AND METHODS: The automatically extracted contours were statistically compared with manually drawn pulmonary contours detected by six radiologists on a set of 30 images. Exploratory data analysis, nonparametric statistical tests, and multivariate analysis were used, on the data obtained using several figures of merit, to perform a study of the interobserver variability among the six radiologists and the contour extraction method. The intraobserver variability of two human observers was also studied. RESULTS: In addition to a strong consistency among all of the quality indexes used, a wider interobserver variability was found among the radiologists than the variability of the contour extraction method when compared with each radiologist. The extraction method exhibits a similar behavior (as a pulmonary contour detector), to the six radiologists, for the used image set. CONCLUSION: As an overall result of the application of this evaluation methodology, the consistency and accuracy of the contour extraction method was confirmed to be adequate for most of the quantitative requirements of radiologists. This evaluation methodology could be applied to other scenarios.

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