Multiple Uncertainties in Time-Variant Cosmological Particle Data

Though the mediums for visualization are limited, the potential dimensions of a dataset are not. In many areas of scientific study, understanding the correlations between those dimensions and their uncertainties is pivotal to mining useful information from a dataset. Obtaining this insight can necessitate visualizing the many relationships among temporal, spatial, and other dimensionalities of data and its uncertainties. We utilize multiple views for interactive dataset exploration and selection of important features, and we apply those techniques to the unique challenges of cosmological particle datasets. We show how interactivity and incorporation of multiple visualization techniques help overcome the problem of limited visualization dimensions and allow many types of uncertainty to be seen in correlation with other variables

Visualizing Sensor Network Coverage with Location Uncertainty

We present an interactive visualization system for exploring the coverage in sensor networks with uncertain sensor locations. We consider a simple case of uncertainty where the location of each sensor is confined to a discrete number of points sampled uniformly at random from a region with a fixed radius. Employing techniques from topological data analysis, we model and visualize network coverage by quantifying the uncertainty defined on its simplicial complex representations. We demonstrate the capabilities and effectiveness of our tool via the exploration of randomly distributed sensor networks

A shared terminology for hypothetical 3D digital reconstructions in the field of Cultural Heritage

Working in synergy with experts coming not only from different fields (computer scientists, archaeologists, historians...), but also from different countries, thus speaking a variety of languages, is very often essential in the field of digital 3D reconstructions for cultural heritage, for heuristic rather than entertainment purposes. This inevitably leads to the comparison of different methods and workflows, each of which is based on its own terminology. Therefore, comparing the terms that are used, following their evolution and, to some extent, attempting to standardise them is a prerequisite for making the reconstruction as objective and reproducible as possible, qualities that are of prime importance especially when the goal is the publication of results in online platforms, so that they are accessible and comprehensible to a wide audience of interested users. Terminology is only one of the open problems in the field of digital 3D reconstructions, which, as is well known, also faces issues related, for instance, to different software and file formats, or even to data storage and to the platforms used to share them. These problems, however, can hardly be tackled without a shared terminology and methodology, which should be the basis of any 3D digital reconstruction used to disseminate (and potentially enrich with new discoveries) cultural heritage, especially when it comes to hypothetical reconstructions of artefacts that have been destroyed or have never been built. In this case, the dialogue between experts is a central element and it is therefore clear why, first of all, it is necessary to agree on the terms that are used. This study aims to analyse some of the most frequent ones in this sense, especially those relating to the certainty and reliability of a reconstruction, whose data model becomes a social and cultural object that we cannot ignore

Communicating the Certainty of Drought Data

2010 South Carolina Water Resource Conference. Informing strategic water planning to address natural resource, community and economic challenges

Artistic Reconstruction and Visualization Uncertainty

In this thesis, we present an approach to create artworks and animation through design principles used for uncertainty visualization. To demonstrate this approach, we use 3D models with reflective surfaces to simplify the rendering process. The creation of these works uses 3D computer graphics to develop these works of art according to research on uncertainty visualization and sculptural art. In the first stage, we develop a work flow to create 3D objects that is computationally inexpensive to allow for quicker iterations throughout the process. In the second stage, we take a look at color mixing and using environment maps to better reflect colors off the 3D objects. In the third stage, we composite 20 layers of separate 3D objects together to obtain a final result. As shown in images and animations, this three-stage process creates an illusion of multiple transparent objects. The results create a beautiful and interesting new type of artwork

Chapter Dialoghi tra diverse discipline (e lingue): una terminologia condivisa per le ricostruzioni digitali 3D ipotetiche e per la classificazione del loro livello di incertezza

The 43rd UID conference, held in Genova, takes up the theme of ‘Dialogues’ as practice and debate on many fundamental topics in our social life, especially in these complex and not yet resolved times. The city of Genova offers the opportunity to ponder on the value of comparison and on the possibilities for the community, naturally focused on the aspects that concern us, as professors, researchers, disseminators of knowledge, or on all the possibile meanings of the discipline of representation and its dialogue with ‘others’, which we have broadly catalogued in three macro areas: History, Semiotics, Science / Technology. Therefore, “dialogue” as a profitable exchange based on a common language, without which it is impossible to comprehend and understand one another; and the graphic sign that connotes the conference is the precise transcription of this concept: the title ‘translated’ into signs, derived from the visual alphabet designed for the visual identity of the UID since 2017. There are many topics which refer to three macro sessions: - Witnessing (signs and history) - Communicating (signs and semiotics) - Experimenting (signs and sciences) Thanks to the different points of view, an exceptional resource of our disciplinary area, we want to try to outline the prevailing theoretical-operational synergies, the collaborative lines of an instrumental nature, the recent updates of the repertoires of images that attest and nourish the relations among representation, history, semiotics, sciences

Special issue introduction: Approaching spatial uncertainty visualization to support reasoning and decision making

While research on uncertainty and decision-making has a long history across several disciplines, recent technological developments compel researchers to rethink how to best address and advance the understanding of how humans reason and make decisions under spatial uncertainty. This introduction presents a visual summary graphic to provide an overview of each article in this special issue. Upon viewing these visual summaries, the reader will find that each of these articles covers different topics in the uncertainty visualization domain, offering complementary research in this field. Extending this body of research and finding new ways to explore how these visualizations may help or hinder the analytical and reasoning process of humans continues to be a necessary step towards designing more effective uncertainty visualizations to support reasoning and decision-making

Enhancing driving safety and user experience through unobtrusive and function-specific feedback

Inappropriate trust in the capabilities of automated driving systems can result in misuse and insufficient monitoring behaviour that impedes safe manual driving performance following takeovers. Previous studies indicate that the communication of system uncertainty can promote appropriate use and monitoring by calibrating trust. However, existing approaches require the driver to regularly glance at the instrument cluster to perceive the changes in uncertainty. This may lead to missed uncertainty changes and user disruptions. Furthermore, the benefits of conveying the uncertainty of the different vehicle functions such as lateral and longitudinal control have yet to be explored. This research addresses these gaps by investigating the impact of unobtrusive and function-specific feedback on driving safety and user experience. Transferring knowledge from other disciplines, several different techniques will be assessed in terms of their suitability for conveying uncertainty in a driving context