AlterVerse: A Framework for Interactive Virtual Altering of Physical Objects in Extended Reality Environments.

This article presents AlterVerse, a framework that provides users with novel experiences through visual illusions of interactively altering physical objects in extended reality environments. In the AlterVerse framework, physical objects are seamlessly virtualized by aligning their 3-D virtual replicas with them. It enables users to manipulate (move or rotate) and reshape (deform the shapes or transform the styles of) the physical objects virtually.

Enhancing Archaeological Research Through Immersive Virtual Reality.

Virtual reality (VR) is increasingly employed in archaeology to showcase reconstructions of ancient sites to the general public, yet its utilization for professional purposes by archaeologists remains less common. To address this gap, we introduce a VR application specifically designed to streamline the storage and access of critical data for archaeological studies. This application provides experts with an immersive visualization of excavation sites and related information during the postexcavation analysis phase.

To Authenticity, and Beyond! Building Safe and Fair Generative AI Upon the Three Pillars of Provenance.

Provenance facts, such as who made an image and how, can provide valuable context for users to make trust decisions about visual content. Against a backdrop of inexorable progress in generative AI for computer graphics, over two billion people will vote in public elections this year. Emerging standards and provenance enhancing tools promise to play an important role in fighting fake news and the spread of misinformation.

A Workflow to Visually Assess Interobserver Variability in Medical Image Segmentation.

We introduce a workflow for the visual assessment of interobserver variability in medical image segmentation. Image segmentation is a crucial step in the diagnosis, prognosis, and treatment of many diseases. Despite the advancements in autosegmentation, clinical practice widely relies on manual delineations performed by radiologists.

The Making of a Newspaper Interview in Virtual Reality: Realistic Avatars, Philosophy, and Sushi.

VR United is a virtual reality application that we have developed to support multiple people simultaneously interacting in the same environment. Each person is represented with a virtual body that looks like themselves. Such immersive shared environments have existed and been the subject of research for the past 30 years.

Cuttlefish: Pushing the Limits of Graphical 3-D Printing.

This article presents Cuttlefish, a 3-D printer driver developed at the Fraunhofer Institute for Computer Graphics Research IGD. Cuttlefish maximizes the reproduction quality of shape and appearance in multimaterial 3-D printing systems. It controls various printing systems and material sets, including color, transparent, and flexible materials.

The Long and Winding Road: 25 Years of the National Advanced Driving Simulator.

The National Advanced Driving Simulator is a high-fidelity motion-base simulator owned by the National Highway Transportation Safety Administration and managed and operated by the University of Iowa. Its 25-year history has intersected with some of the most significant developments in automotive history, such as advanced driver assistance systems like stability control and collision warning systems, and highly automated vehicles. The simulator is an application of immersive virtual reality that uses multiprojection instead of head-mounted displays.

Virtual Reality Training for Post-Earthquake Rescue Operators.

Urban Search And Rescue (USAR) personnel need to be appropriately trained to effectively operate in post-disaster conditions, as they need to quickly identify locations where the presence of survivors is more likely. Currently, the training procedure for this kind of triage is based on showing static pictures presenting different types of building collapses accompanied by cards providing additional environmental information. This article presents VRescue, a simulator for training USAR operators using the paradigm of immersive virtual reality (VR).

Development of a Virtual Reality Tool for the Treatment of Pediatric Patients in the ICU.

Prolonged stays in the intensive care unit (ICU) cause difficulties in rehabilitation and other disorders for patients. This problem is exacerbated in the case of pediatric patients. The use of virtual reality can help with the lack of external stimuli and contribute as potential nonpharmacological therapies in some patient rehabilitation processes.

Evaluation of an Immersive COVID-19 Data Visualization.

COVID-19 restrictions have detrimental effects on the population, both socially and economically. However, these restrictions are necessary as they help reduce the spread of the virus. For the public to comply, easily comprehensible communication between decision makers and the public is thus crucial.

BoidVR: An Agent Simulation Environment Based on Freehand and Virtual Reality.

Freehand-based interaction techniques (FITs) are an emerging technology of importance for effective virtual reality (VR). In this regard, most modern head-mounted displays, such as the Oculus Quest, are equipped with inside-out cameras for egocentric hand tracking and natural hand gestures recognition. Following this technological evolution, we have developed an agent-based modeling and simulation VR application, called BoidVR, focused on freehand-based interaction with simulated agents.

Role of Intricate Pottery Visualization in Ceramic Manufacturing.

Layered manufacturing, the underlying technology of 3-D printing, has made rapid strides over the last 30 years. We discuss layered manufacturing from the artist's perspective, especially for intricate ceramic pottery. We contend that opportunities exist for applying visualization to the foremost problems plaguing layered manufacturing.

Explainability of Text Clustering Visualizations-Twitter Disinformation Case Study.

While text clustering methods have been available for decades, there is a paucity of material that would help practitioners with the choice and configuration of suitable algorithms and visualizations. In this article, we present a case study analyzing two disinformation datasets composed of tweets from the era of the 2016 United States Presidential Election. We use this to demonstrate steps for selecting the best configuration of the clustering algorithm and consequently conduct a user experiment for evaluating the comprehensibility of three alternate visualizations.

Evaluating Representation Learning and Graph Layout Methods for Visualization.

Graphs and other structured data have come to the forefront in machine learning over the past few years due to the efficacy of novel representation learning methods boosting the prediction performance in various tasks. Representation learning methods embed the nodes in a low-dimensional real-valued space, enabling the application of traditional machine learning methods on graphs. These representations have been widely premised to be also suited for graph visualization.

Podiy: A System for Design and Production of Pouches by Novices.

We have developed a system called "Podiy" that supports handicraft production of pouch-style bags using three-dimensional (3-D) computer graphics. We divide the making of a pouch into four steps: pouch design, fabric design, pattern design, and production, each supported by different panels. In pouch design mode, the user can design both the size and pattern.

Scaling the Virtual Fitness Buddy Ecosystem as a School-Based Physical Activity Intervention for Children.

Childhood obesity is a growing concern as it can lead to lifelong health problems that carry over into adulthood. A substantial contributing factor to obesity is the physical activity (PA) habits that are formed in early childhood, as these habits tend to sustain throughout adulthood. To aid children in forming healthy PA habits, we designed a mixed reality system called the Virtual Fitness Buddy ecosystem, in which children can interact with a virtual pet agent.

Measurement and Inspection of Photo-Realistic 3-D VR Models.

Recent advancements in virtual reality (VR) may help unlock the full potential offered by 3-D photorealistic models generated using state-of-the-art photogrammetric methods. Using VR to carry out analyses on photogrammetric models has the potential to assist the user in performing basic offline engineering inspection of digital twins-digitized representations of real-world objects and structures. However, for such benefits to materialize, it is necessary to create suitable interactive systems for working with photogrammetric models in VR.

Visualizing Multimodal Deep Learning for Lesion Prediction.

A U-Net is a type of convolutional neural network that has been shown to output impressive results in medical imaging segmentation tasks. Still, neural networks in general form a black box that is hard to interpret, especially by noncomputer scientists. This work provides a visual system that allows users to examine U-Nets that were trained to predict brain lesions caused by stroke using multimodal imaging.

Saliency Computation for Virtual Cinematography in 360° Videos.

Recent advances in virtual reality cameras have contributed to a phenomenal growth of 360$^{\circ }$∘ videos. Estimating regions likely to attract user attention is critical for efficiently streaming and rendering 360$^{\circ }$∘ videos. In this article, we present a simple, novel, GPU-driven pipeline for saliency computation and virtual cinematography in 360$^{\circ }$∘ videos using spherical harmonics (SH).

The Dreamcatcher: Interactive Storytelling of Dreams.

Sleep scientists have extensively validated the continuity hypothesis, according to which our dreams reflect what happens during our waking life. Yet, only a few attempts have been made to increase the general public's awareness about the benefits of dream analysis in better understanding and improving our daily life. We designed "The Dreamcatcher," an interactive visual tool that explores the link between dreams and waking life through a collection of dream reports.

Virtual Reality Application for Fostering Interest in Art.

There is concern within the cultural community about the decreasing number of people, especially young people, visiting museums and cultural institutions. To fight this trend, new ways of accessing art are needed. We believe that technologies like virtual reality can greatly foster the relationship between users and works of art.

Antarctic Water Masses and Ice Shelves: Visualizing the Physics.

High-resolution simulation of global climate physics enables us to model how the climate may change under a variety of future scenarios. Such simulations produce vast amounts of information and dense datasets. If interrogated in tandem, these datasets can provide holistic, vital information on Earth's many integrated systems by revealing the manifold interrelated properties of the atmosphere, ocean, and polar ice, framed by real-world terrain in three-dimensional space as they vary over time.

Cartographic Design of Cultural Maps.

Throughout history, maps have been used as a tool to explore cities. They visualize a city's urban fabric through its streets, buildings, and points of interest. Besides purely navigation purposes, street names also reflect a city's culture through its commemorative practices.

Cantonese Porcelain Image Generation Using User-Guided Generative Adversarial Networks.

Automated image style transfer is of great interest given the recent advances in generative adversarial networks (GANs). However, it is challenging to generate synthesized images from abstract masks while preserving detailed patterns for certain kinds of art given small datasets. We propose an intelligent GAN-based system enhanced with user intent and prior knowledge for generating images styled as Cantonese porcelain using user-defined masks.

Do Virtual Humans Dream of Digital Sheep?

As human beings, we are so used to interacting with each other that any world without humans would feel alien to us, including digital ones. In this article, we present a survey on the role of digital human-like characters in virtual worlds, both as counterparts of real human users and as embodied agents driven by artificial intelligence. The main issues related to 3-D graphics, physics, animation, and behavioral modeling are introduced, suggesting wherever available different alternatives and related development pipelines.