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Although immersive virtual environments have been used for years for training and learning purposes (e.g., flight and surgery simulators), the effects of using VR devices on simulation sessions are yet to be understood. In this work, we explore the effects of different VR devices on virtual environments developed for training, focusing on...

Desktop-based operating systems allow the use of many applications concurrently, but the frequent switching between two or more applications distracts the user, preventing it to keep focused in the main task. In this work we introduce an augmented mouse, which supports the regular 2D movements and clicks, as well as 3D gestures performed over...

International audience

This paper focuses on the fundamental role played by annotations to support provenance analysis in visual exploration processes of large datasets. Particularly, we investigate the use of annotations during the visual exploration of semantic datasets assisted by chained visualization techniques. In this paper, we identify three potential uses of...

Studying spatio-temporal data is essential to understand the processes of the real world. However, the design of effective visualizations to explore spatio-temporal data is not a straightforward task due to the inherent multidimensional aspects of the data. In this paper, we explore the usage of polymorphous glyphs (i.e. glyphs that change...

Dans ce texte nous abordons la dimension répétitive et mémorielle des images de stock dans les médias audiovisuels. D'abord nous proposons une problématisation théorique de ces questions et tentons une définition de la notion d'image de stock. On présente ensuite un cas d'étude issu du projet ANR CROBORA. À partir d'un corpus d'environ 22 500...

In this paper we present a visual approach to explore collaborations between artists in music datasets. Our ultimate goal is to investigate what can be learned about the impact of collaborations on artists' careers. Our approach is supported by two visualization tools that can be used to explore the data from the sparql endpoint WASABI. The...

This paper uses Mixed Reality (MR) technologies to provide a seamless integration of digital information in physical environments through human-made annotations. Creating digital annotations of physical objects evokes many challenges for performing (simple) tasks such as adding digital notes and connecting them to real-world objects. For that,...

Visualization techniques are useful tools to explore data by enabling the discovery of meaningful patterns and causal relationships. The discovery process is often exploratory and requires multiple views to support analyzing different or complementary perspectives to the data. In this context, analytic provenance shows great potential to...

This paper presents a qualitative analysis of a literature review on affordances in XR environments. Affordances refer to the way how the system communicates to the user how to perform a task. Preliminary studies showed that there was no consensus and neither a standard taxonomy for describing affordances in XR. The goal of this study was to...

Revue trimestrielle sur l'image géographique et les formes du territoire

Association rule mining often leads the analyst into a rough rummaging process to identify rules that are relevant to understand specific problems. We propose a visualization interface to assist the rule selection process and evaluate it on an RDF knowledge graph derived from the COVID-19 Open Research Dataset. The user interface supports data...

Over the recent years, Linked Open Data (LOD) has been increasingly used to support decision-making processes in various application domains. For that purpose, an increasing interest in information visualization has been observed in the literature as a suitable solution to communicate the knowledge described in LOD data sources. Nonetheless,...

Over recent years, we witnessed an astonishing growth in production and consumption of Linked Data (LD), which contains valuable information to support decision-making processes in various application domains. In this context, data visualization plays a decisive role in making sense of the large volumes of data created every day and in...

International audience

The Web of Linked Open Data (LOD) provides access to a great number of dynamic datasets containing valuable information to support decision-making processes in diverse application domains while being publicly accessible and up-to-date. While information visualization techniques are useful to explore, analyze, and explain relationships within...

Face à la multiplication des publications scientifiques, les archives scientifiques ouvertes jouent un rôle central pour aider les utilisateurs à effectuer des recherches bibliographiques. Cependant, les services de recherche classiques basés sur des mots-clés ne parviennent pas toujours à apporter des réponses satisfaisantes à certaines...

Faced with the ever-increasing number of scientific publications, researchers struggle to keep up, find and make sense of articles relevant to their own research. Scientific open archives play a central role in helping deal with this deluge, yet keyword-based search services often fail to grasp the richness of the semantic associations between...

In recent years, several evolutions have drastically transformed the way researchers as well as scientific and technical information (STI) services interact with scientific literature. The amount and pace of publications are skyrocketing, whether in journals and conferences or through pre-publication repositories (e.g., arxiv.org), such that it...

The unprecedented mobilization of scientists, consequent of the COVID-19 pandemics, has generated an enormous number of scholarly articles that is impossible for a human being to keep track and explore without appropriate tool support. In this context, we created the Covid-on-the-Web project, which aims to assist the access, querying, and sense...

We present the CREATTIVE3D dataset of human interaction and navigation at road crossings in virtual reality. The dataset has three main breakthroughs: (1) it is the largest dataset of human motion in fully-annotated scenarios (40 hours, 2.6 million poses), (2) it is captured in dynamic 3D scenes with multivariate-gaze, physiology, and...