DevLan/vispubs huggingface dataset:
pCubee: a perspective-corrected handheld cubic display
Authors: Ian Stavness, Billy Lam, Sidney S. Fels
Published at CHI, 2010

In this paper, we describe the design of a personal cubic display that offers novel interaction techniques for static and dynamic 3D content. We extended one-screen Fish Tank VR by arranging five small LCD panels into a box shape that is light and compact enough to be handheld. The display uses head-coupled perspective rendering and a real-time physics simulation engine to establish an interaction metaphor of having real objects inside a physical box that a user can hold and manipulate. We evaluated our prototype as a visualization tool and as an input device by comparing it with a conventional LCD display and mouse for a 3D tree-tracing task. We found that bimanual interaction with pCubee and a mouse offered the best performance and was most preferred by users. pCubee has potential in 3D visualization and interactive applications such as games, storytelling and education, as well as viewing 3D maps, medical and architectural data.
Small business applications of sourcemap: a web tool for sustainable design and supply chain transparency
Authors: Leonardo Bonanni, Matthew Hockenberry, David Zwarg, Chris Csikszentmihályi, Hiroshi Ishii 0001
Published at CHI, 2010

This paper introduces sustainable design applications for small businesses through the Life Cycle Assessment and supply chain publishing platform Sourcemap.org. This web-based tool was developed through a year-long participatory design process with five small businesses in Scotland and in New England. Sourcemap was used as a diagnostic tool for carbon accounting, design and supply chain management. It offers a number of ways to market sustainable practices through embedded and printed visualizations. Our experiences confirm the potential of web sustainability tools and social media to expand the discourse and to negotiate the diverse goals inherent in social and environmental sustainability.
The case of the disappearing Ox: a field study of mobile activity and context logging
Authors: Grace de la Flor, Paul Luff, Marina Jirotka, John Pybus, Ruth Kirkham, Annamaria Carusi
Published at CHI, 2010

There are numerous settings where people examine, scrutinize and discuss the details of images in the course of their work. In most medical domains, scans and x-rays are used in the diagnosis of cases; in most areas of science, methods of visualization have been adopted to assist in the analysis of data; and images of different kinds are critical for many research fields in the social sciences and humanities. It is not surprising that recently technologies have been proposed to assist with the analysis and examination of images. In this paper, we consider requirements for technologies in a rather distinctive domain of research, the classics. Drawing upon an analysis of the detailed ways in which classicists work with digital images, we discuss the requirements for systems to support researchers in this domain, and also provide further considerations on the general development of image processing technologies and visualization techniques.
Timeline collaboration
Authors: Morten Bohøj, Nikolaj Gandrup Borchorst, Niels Olof Bouvin, Susanne Bødker, Pär-Ola Zander
Published at CHI, 2010

This paper explores timelines as a web-based tool for collaboration between citizens and municipal caseworkers. The paper takes its outset in a case study of planning and control of parental leave; a process that may involve surprisingly many actors. As part of the case study, a web-based timeline, CaseLine, was designed. This design crosses the boundaries between leisure and work, in ways that are different from what is often seen in current HCI. The timeline has several roles on these boundaries: It is a shared planning and visualization tool that may be used by parents and caseworkers alone or together, it serves as a contract and a sandbox, as a record and a plan, as inspiration for planning and an authoritative road, as a common information space and a fragmented exchange. Serving all these roles does not happen smoothly, and the paper discusses the challenges of such timeline interaction in, and beyond this case.
UpStream: motivating water conservation with low-cost water flow sensing and persuasive displays
Authors: Stacey Kuznetsov, Eric Paulos
Published at CHI, 2010

Water is our most precious and most rapidly declining natural resource. We explore pervasive technology as an approach for promoting water conservation in public and private spaces. We hope to motivate immediate reduction in water use as well as higher-order behaviors (seeking new information, etc) through unobtrusive low-cost water flow sensing and several persuasive displays. Early prototypes were installed at public faucets and a private (shared) shower, logging water usage first without and then with ambient displays. This pilot study led to design iterations, culminating in long-term deployment of sensors in four private showers over the course of three weeks. Sensors first logged baseline water usage without visualization. Then, two display styles, ambient and numeric, were deployed in random order, each showing individual and average water consumption. Quantitative data along with participants' feedback contrast the effectiveness of numeric displays against abstract visualization in this very important domain of water conservation and public health.
Using text animated transitions to support navigation in document histories
Authors: Fanny Chevalier, Pierre Dragicevic, Anastasia Bezerianos, Jean-Daniel Fekete
Published at CHI, 2010

This article examines the benefits of using text animated transitions for navigating in the revision history of textual documents. We propose an animation technique for smoothly transitioning between different text revisions, then present the Diffamation system. Diffamation supports rapid exploration of revision histories by combining text animated transitions with simple navigation and visualization tools. We finally describe a user study showing that smooth text animation allows users to track changes in the evolution of textual documents more effectively than flipping pages.
A Novel Interface for Interactive Exploration of DTI fibers
Authors: Wei Chen 0001, Zi'ang Ding, Song Zhang 0004, Anna MacKay-Brandt, Stephen Correia, Huamin Qu, John Allen Crow, David F. Tate, Zhicheng Yan, Qunsheng Peng 0001
Published at Vis, 2009

Visual exploration is essential to the visualization and analysis of densely sampled 3D DTI fibers in biological speciments, due to the high geometric, spatial, and anatomical complexity of fiber tracts. Previous methods for DTI fiber visualization use zooming, color-mapping, selection, and abstraction to deliver the characteristics of the fibers. However, these schemes mainly focus on the optimization of visualization in the 3D space where cluttering and occlusion make grasping even a few thousand fibers difficult. This paper introduces a novel interaction method that augments the 3D visualization with a 2D representation containing a low-dimensional embedding of the DTI fibers. This embedding preserves the relationship between the fibers and removes the visual clutter that is inherent in 3D renderings of the fibers. This new interface allows the user to manipulate the DTI fibers as both 3D curves and 2D embedded points and easily compare or validate his or her results in both domains. The implementation of the framework is GPU based to achieve real-time interaction. The framework was applied to several tasks, and the results show that our method reduces the user's workload in recognizing 3D DTI fibers and permits quick and accurate DTI fiber selection.
A Physiologically-based Model for Simulation of Color Vision Deficiency
Authors: Gustavo Mello Machado, Manuel Menezes de Oliveira Neto, Leandro A. F. Fernandes
Published at Vis, 2009

Color vision deficiency (CVD) affects approximately 200 million people worldwide, compromising the ability of these individuals to effectively perform color and visualization-related tasks. This has a significant impact on their private and professional lives. We present a physiologically-based model for simulating color vision. Our model is based on the stage theory of human color vision and is derived from data reported in electrophysiological studies. It is the first model to consistently handle normal color vision, anomalous trichromacy, and dichromacy in a unified way. We have validated the proposed model through an experimental evaluation involving groups of color vision deficient individuals and normal color vision ones. Our model can provide insights and feedback on how to improve visualization experiences for individuals with CVD. It also provides a framework for testing hypotheses about some aspects of the retinal photoreceptors in color vision deficient individuals.
A User Study to Compare Four Uncertainty Visualization Methods for 1D and 2D Datasets
Authors: Jibonananda Sanyal, Song Zhang 0004, Gargi Bhattacharya, Philip Amburn, Robert J. Moorhead II
Published at Vis, 2009

Many techniques have been proposed to show uncertainty in data visualizations. However, very little is known about their effectiveness in conveying meaningful information. In this paper, we present a user study that evaluates the perception of uncertainty amongst four of the most commonly used techniques for visualizing uncertainty in one-dimensional and two-dimensional data. The techniques evaluated are traditional errorbars, scaled size of glyphs, color-mapping on glyphs, and color-mapping of uncertainty on the data surface. The study uses generated data that was designed to represent the systematic and random uncertainty components. Twenty-seven users performed two types of search tasks and two types of counting tasks on 1D and 2D datasets. The search tasks involved finding data points that were least or most uncertain. The counting tasks involved counting data features or uncertainty features. A 4 times 4 full-factorial ANOVA indicated a significant interaction between the techniques used and the type of tasks assigned for both datasets indicating that differences in performance between the four techniques depended on the type of task performed. Several one-way ANOVAs were computed to explore the simple main effects. Bonferronni's correction was used to control for the family-wise error rate for alpha-inflation. Although we did not find a consistent order among the four techniques for all the tasks, there are several findings from the study that we think are useful for uncertainty visualization design. We found a significant difference in user performance between searching for locations of high and searching for locations of low uncertainty. Errorbars consistently underperformed throughout the experiment. Scaling the size of glyphs and color-mapping of the surface performed reasonably well. The efficiency of most of these techniques were highly dependent on the tasks performed. We believe that these findings can be used in future uncertainty visualization design. In addition, the framework developed in this user study presents a structured approach to evaluate uncertainty visualization techniques, as well as provides a basis for future research in uncertainty visualization.
A Visual Approach to Efficient Analysis and Quantification of Ductile Iron and Reinforced Sprayed Concrete
Authors: Laura Fritz, Markus Hadwiger, Georg Geier, Gerhard Pittino, M. Eduard Gröller
Published at Vis, 2009

This paper describes advanced volume visualization and quantification for applications in non-destructive testing (NDT), which results in novel and highly effective interactive workflows for NDT practitioners. We employ a visual approach to explore and quantify the features of interest, based on transfer functions in the parameter spaces of specific application scenarios. Examples are the orientations of fibres or the roundness of particles. The applicability and effectiveness of our approach is illustrated using two specific scenarios of high practical relevance. First, we discuss the analysis of Steel Fibre Reinforced Sprayed Concrete (SFRSpC). We investigate the orientations of the enclosed steel fibres and their distribution, depending on the concrete's application direction. This is a crucial step in assessing the material's behavior under mechanical stress, which is still in its infancy and therefore a hot topic in the building industry. The second application scenario is the designation of the microstructure of ductile cast irons with respect to the contained graphite. This corresponds to the requirements of the ISO standard 945-1, which deals with 2D metallographic samples. We illustrate how the necessary analysis steps can be carried out much more efficiently using our system for 3D volumes. Overall, we show that a visual approach with custom transfer functions in specific application domains offers significant benefits and has the potential of greatly improving and optimizing the workflows of domain scientists and engineers.
An interactive visualization tool for multi-channel confocal microscopy data in neurobiology research
Authors: Yong Wan, Hideo Otsuna, Chi-Bin Chien, Charles D. Hansen
Published at Vis, 2009

Confocal microscopy is widely used in neurobiology for studying the three-dimensional structure of the nervous system. Confocal image data are often multi-channel, with each channel resulting from a different fluorescent dye or fluorescent protein; one channel may have dense data, while another has sparse; and there are often structures at several spatial scales: subneuronal domains, neurons, and large groups of neurons (brain regions). Even qualitative analysis can therefore require visualization using techniques and parameters fine-tuned to a particular dataset. Despite the plethora of volume rendering techniques that have been available for many years, the techniques standardly used in neurobiological research are somewhat rudimentary, such as looking at image slices or maximal intensity projections. Thus there is a real demand from neurobiologists, and biologists in general, for a flexible visualization tool that allows interactive visualization of multi-channel confocal data, with rapid fine-tuning of parameters to reveal the three-dimensional relationships of structures of interest. Together with neurobiologists, we have designed such a tool, choosing visualization methods to suit the characteristics of confocal data and a typical biologist's workflow. We use interactive volume rendering with intuitive settings for multidimensional transfer functions, multiple render modes and multi-views for multi-channel volume data, and embedding of polygon data into volume data for rendering and editing. As an example, we apply this tool to visualize confocal microscopy datasets of the developing zebrafish visual system.
Applying Manifold Learning to Plotting Approximate Contour Trees
Authors: Shigeo Takahashi, Issei Fujishiro, Masato Okada
Published at Vis, 2009

A contour tree is a powerful tool for delineating the topological evolution of isosurfaces of a single-valued function, and thus has been frequently used as a means of extracting features from volumes and their time-varying behaviors. Several sophisticated algorithms have been proposed for constructing contour trees while they often complicate the software implementation especially for higher-dimensional cases such as time-varying volumes. This paper presents a simple yet effective approach to plotting in 3D space, approximate contour trees from a set of scattered samples embedded in the high-dimensional space. Our main idea is to take advantage of manifold learning so that we can elongate the distribution of high-dimensional data samples to embed it into a low-dimensional space while respecting its local proximity of sample points. The contribution of this paper lies in the introduction of new distance metrics to manifold learning, which allows us to reformulate existing algorithms as a variant of currently available dimensionality reduction scheme. Efficient reduction of data sizes together with segmentation capability is also developed to equip our approach with a coarse-to-fine analysis even for large-scale datasets. Examples are provided to demonstrate that our proposed scheme can successfully traverse the features of volumes and their temporal behaviors through the constructed contour trees.
Automatic Transfer Function Generation Using Contour Tree Controlled Residue Flow Model and Color Harmonics
Authors: Jianlong Zhou, Masahiro Takatsuka
Published at Vis, 2009

Transfer functions facilitate the volumetric data visualization by assigning optical properties to various data features and scalar values. Automation of transfer function specifications still remains a challenge in volume rendering. This paper presents an approach for automating transfer function generations by utilizing topological attributes derived from the contour tree of a volume. The contour tree acts as a visual index to volume segments, and captures associated topological attributes involved in volumetric data. A residue flow model based on Darcy's law is employed to control distributions of opacity between branches of the contour tree. Topological attributes are also used to control color selection in a perceptual color space and create harmonic color transfer functions. The generated transfer functions can depict inclusion relationship between structures and maximize opacity and color differences between them. The proposed approach allows efficient automation of transfer function generations, and exploration on the data to be carried out based on controlling of opacity residue flow rate instead of complex low-level transfer function parameter adjustments. Experiments on various data sets demonstrate the practical use of our approach in transfer function generations.
BrainGazer - Visual Queries for Neurobiology Research
Authors: Stefan Bruckner, Veronika Soltészová, M. Eduard Gröller, Jirí Hladuvka, Katja Bühler, Jai Y. Yu, Barry J. Dickson
Published at Vis, 2009

Neurobiology investigates how anatomical and physiological relationships in the nervous system mediate behavior. Molecular genetic techniques, applied to species such as the common fruit fly Drosophila melanogaster, have proven to be an important tool in this research. Large databases of transgenic specimens are being built and need to be analyzed to establish models of neural information processing. In this paper we present an approach for the exploration and analysis of neural circuits based on such a database. We have designed and implemented \emph{BrainGazer}, a system which integrates visualization techniques for volume data acquired through confocal microscopy as well as annotated anatomical structures with an intuitive approach for accessing the available information. We focus on the ability to visually query the data based on semantic as well as spatial relationships. Additionally, we present visualization techniques for the concurrent depiction of neurobiological volume data and geometric objects which aim to reduce visual clutter. The described system is the result of an ongoing interdisciplinary collaboration between neurobiologists and visualization researchers.
Color Seamlessness in Multi-Projector Displays Using Constrained Gamut Morphing
Authors: Behzad Sajadi, Maxim Lazarov, Meenakshisundaram Gopi, Aditi Majumder
Published at Vis, 2009

Multi-projector displays show significant spatial variation in 3D color gamut due to variation in the chromaticity gamuts across the projectors, vignetting effect of each projector and also overlap across adjacent projectors. In this paper we present a new constrained gamut morphing algorithm that removes all these variations and results in true color seamlessness across tiled multi-projector displays. Our color morphing algorithm adjusts the intensities of light from each pixel of each projector precisely to achieve a smooth morphing from one projector's gamut to the other's through the overlap region. This morphing is achieved by imposing precise constraints on the perceptual difference between the gamuts of two adjacent pixels. In addition, our gamut morphing assures a C1 continuity yielding visually pleasing appearance across the entire display. We demonstrate our method successfully on a planar and a curved display using both low and high-end projectors. Our approach is completely scalable, efficient and automatic. We also demonstrate the real-time performance of our image correction algorithm on GPUs for interactive applications. To the best of our knowledge, this is the first work that presents a scalable method with a strong foundation in perception and realizes, for the first time, a truly seamless display where the number of projectors cannot be deciphered.
Coloring 3D Line fields Using Boy's Real Projective Plane Immersion
Authors: Çagatay Demiralp, John F. Hughes, David H. Laidlaw
Published at Vis, 2009

We introduce a new method for coloring 3D line fields and show results from its application in visualizing orientation in DTI brain data sets. The method uses Boy's surface, an immersion of RP2 in 3D. This coloring method is smooth and one-to-one except on a set of measure zero, the double curve of Boy's surface.
Comparing 3D Vector field Visualization Methods: A User Study
Authors: Andrew S. Forsberg, Jian Chen 0006, David H. Laidlaw
Published at Vis, 2009

In a user study comparing four visualization methods for three-dimensional vector data, participants used visualizations from each method to perform five simple but representative tasks: 1) determining whether a given point was a critical point, 2) determining the type of a critical point, 3) determining whether an integral curve would advect through two points, 4) determining whether swirling movement is present at a point, and 5) determining whether the vector field is moving faster at one point than another. The visualization methods were line and tube representations of integral curves with both monoscopic and stereoscopic viewing. While participants reported a preference for stereo lines, quantitative results showed performance among the tasks varied by method. Users performed all tasks better with methods that: 1) gave a clear representation with no perceived occlusion, 2) clearly visualized curve speed and direction information, and 3) provided fewer rich 3D cues (e.g., shading, polygonal arrows, overlap cues, and surface textures). These results provide quantitative support for anecdotal evidence on visualization methods. The tasks and testing framework also give a basis for comparing other visualization methods, for creating more effective methods, and for defining additional tasks to explore further the tradeoffs among the methods.
Continuous Parallel Coordinates
Authors: Julian Heinrich, Daniel Weiskopf
Published at Vis, 2009

Typical scientific data is represented on a grid with appropriate interpolation or approximation schemes,defined on a continuous domain. The visualization of such data in parallel coordinates may reveal patterns latently contained in the data and thus can improve the understanding of multidimensional relations. In this paper, we adopt the concept of continuous scatterplots for the visualization of spatially continuous input data to derive a density model for parallel coordinates. Based on the point-line duality between scatterplots and parallel coordinates, we propose a mathematical model that maps density from a continuous scatterplot to parallel coordinates and present different algorithms for both numerical and analytical computation of the resulting density field. In addition, we show how the 2-D model can be used to successively construct continuous parallel coordinates with an arbitrary number of dimensions. Since continuous parallel coordinates interpolate data values within grid cells, a scalable and dense visualization is achieved, which will be demonstrated for typical multi-variate scientific data.