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Journal articles on the topic 'Visualization'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

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1

Byrne, Lydia, Daniel Angus, and Janet Wiles. "Figurative frames: A critical vocabulary for images in information visualization." Information Visualization 18, no. 1 (2017): 45–67. http://dx.doi.org/10.1177/1473871617724212.

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Critical analyses provide information visualization practitioners with insight into the range and suitability of different techniques for visualization. Theory provides the necessary models and vocabulary to deconstruct, explain and classify visualizations, allowing the analysis and comparison of alternate designs, and evaluation of their success. While the critical vocabulary for information visualization in general is well developed, the same cannot be said for ‘hybrid’ information visualizations which combine abstract representation of data with figurative elements such as illustrations. Fi

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Kjellin, Andreas, Lars Winkler Pettersson, Stefan Seipel, and Mats Lind. "Different Levels of 3D: An Evaluation of Visualized Discrete Spatiotemporal Data in Space-Time Cubes." Information Visualization 9, no. 2 (2009): 152–64. http://dx.doi.org/10.1057/ivs.2009.8.

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New technologies and techniques allow novel kinds of visualizations and different types of 3D visualizations are constantly developed. We propose a categorization of 3D visualizations and, based on this categorization, evaluate two versions of a space-time cube that show discrete spatiotemporal data. The two visualization techniques used are a head-tracked stereoscopic visualization (‘strong 3D’) and a static monocular visualization (‘weak 3D’). In terms of effectiveness and efficiency the weak 3D visualization is as good as the strong 3D and thus the need for advanced 3D visualizations in the

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North, Chris, Nathan Conklin, Kiran Indukuri, and Varun Saini. "Visualization Schemas and a Web-Based Architecture for Custom Multiple-View Visualization of Multiple-Table Databases." Information Visualization 1, no. 3-4 (2002): 211–28. http://dx.doi.org/10.1057/palgrave.ivs.9500020.

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Relational databases provide significant flexibility to organize, store, and manipulate an infinite variety of complex data collections. This flexibility is enabled by the concept of relational data Schemas, which allow data owners to easily design custom databases according to their unique needs. However, user interfaces and information visualizations for accessing and utilizing databases have not kept pace with this level of flexibility. Visualizations need to integrate multiple tables and diverse visualization tools into custom solutions. This paper describes advances to Snap-Together Visua

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Gaikwad, Sushmita, Vaishnavi Ajmire, Komal Patil, and Vaishali Khandave. "Graph Algorithm Visualizer." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 07, no. 12 (2023): 1–3. http://dx.doi.org/10.55041/ijsrem27719.

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A comprehensive study on algorithm visualization reveals insights into content distribution, creator demographics, and visualization quality. The associated wiki catalogues over 350 algorithm visualizations and includes an annotated bibliology on algorithm visualization literature. Unfortunately, the majority of visualizations are deemed low-quality, with a bias towards simpler topics. The report proposes the development of an e-learning tool focusing on specific visualizations like Pathfinder, Prime Numbers, Sorting Algorithms, N Queen, Convex Hull, and Binary Search Game. The absence of effe

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Song, Jihye, Olivia B. Newton, Stephen M. Fiore, Corey Pittman, and Joseph J. LaViola. "Examining Training Comprehension and External Cognition in Evaluations of Uncertainty Visualizations to Support Decision Making." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 63, no. 1 (2019): 1654–58. http://dx.doi.org/10.1177/1071181319631520.

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Recent advances in uncertainty visualization research have focused not only on design features to support decision making, but also on challenges of evaluating the effectiveness of uncertainty visualizations, such as the degree to which individuals’ baseline task comprehension may alter their performance on experimental tasks regardless of a visualization’s effectiveness. Building on recent work, we investigated the effect of training comprehension on performance across varying representations of uncertainty and varying degrees of visualization interactivity using a simulated course of action

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Avazpour, Iman, John Grundy, and Hai L. Vu. "Generating Reusable Visual Notations Using Model Transformation." International Journal of Software Engineering and Knowledge Engineering 25, no. 02 (2015): 277–305. http://dx.doi.org/10.1142/s0218194015400100.

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Visual notations are a key aspect of visual languages. They provide a direct mapping between the intended information and set of graphical symbols. Visual notations are most often implemented using the low level syntax of programming languages which is time consuming, error prone, difficult to maintain and hardly human-centric. In this paper we describe an alternative approach to generating visual notations using by-example model transformations. In our new approach, a semantic mapping between model and view is implemented using model transformations. The notations resulting from this approach

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Grammel, L., M. Tory, and M. Storey. "How Information Visualization Novices Construct Visualizations." IEEE Transactions on Visualization and Computer Graphics 16, no. 6 (2010): 943–52. http://dx.doi.org/10.1109/tvcg.2010.164.

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Lobo, M. J., and S. Christophe. "OPPORTUNITIES AND CHALLENGES FOR AUGMENTED REALITY SITUATED GEOGRAPHICAL VISUALIZATION." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences V-4-2020 (August 3, 2020): 163–70. http://dx.doi.org/10.5194/isprs-annals-v-4-2020-163-2020.

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Abstract. Augmented reality (AR) enables to display situated geographical visualizations, i.e visualizations that use virtual elements that are displayed in a geographical location. The place where the data is displayed complements the visualization. Many applications that take advantage of AR and situated visualizations exist, but they differ in the visualizations they present, their relationship to the geographic locations and goals. To better understand why and how AR based situated geovisualization is used, we review 45 papers coming from Human Computer Interaction, Visualization and Geogr

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Kullman, Kaur, and Don Engel. "Interactive Stereoscopically Perceivable Multidimensional Data Visualizations for Cybersecurity." Journal of Defence & Security Technologies 4, no. 1 (2022): 37–52. http://dx.doi.org/10.46713/jdst.004.03.

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Interactive Data Visualizations (IDV) can be useful for cybersecurity subject matter experts (CSMEs) while they are exploring new data or investigating familiar datasets for anomalies, correlating events, etc. For an IDV to be useful to a CSME, interaction with that visualization should be simple and intuitive (free of additional mental tasks) and the visualization’s layout must map to a CSME's understanding. While CSMEs may learn to interpret visualizations created by others, they should be encouraged to visualize their datasets in ways that best reflect their own ways of thinking. Developing

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Kharakhash, О. "DATA VISUALIZATION: TRANSFORMING COMPLEX DATA INTO ACTIONABLE INSIGHTS." Automation of technological and business processes 15, no. 2 (2023): 4–12. http://dx.doi.org/10.15673/atbp.v15i2.2520.

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Abstract. This article explores the power of data visualization and its impact on decision-making processes. It begins by highlighting the importance of data visualization in making data more accessible and understandable, emphasizing how visual representations enhance comprehension, facilitate exploration, and support data-driven decision-making. Real-world scenarios are provided to showcase the significant impact of data visualization on decision-making processes. Case studies illustrate how organizations have leveraged visualizations to gain actionable insights and drive strategic outcomes.

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Wang, Xianli, Bo Song, Jiquan Chen, Thomas R. Crow, and Jacob J. LaCroix. "Challenges in Visualizing Forests and Landscapes." Journal of Forestry 104, no. 6 (2006): 316–19. http://dx.doi.org/10.1093/jof/104.6.316.

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Abstract Landscape visualization is a useful tool in understanding forest dynamics and in assessing various management practices. However, the application of this technology remains very challenging. We propose criteria for landscape visualization so that users can judge the quality of the visualization. We also identify the challenges in developing visualizations and discuss the limitations and advantages of visualizations for basic and applied science in natural resource management. We believe that the combination of visualizations with traditional research methods will enable the decisionma

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Baikadi, Alok, Julius Goth, Christopher Mitchell, Eun Ha, Bradford Mott, and James Lester. "Towards a Computational Model of Narrative Visualization." Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment 7, no. 2 (2011): 2–9. http://dx.doi.org/10.1609/aiide.v7i2.12470.

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The task of narrative visualization has been the subject of increasing interest in recent years. Much like data visualization, narrative visualization offers users an informative and aesthetically pleasing perspective on “storydata.” Automatically creating visual representations ofnarratives poses significant computational challenges due to the complex affective and causal elements, among other things, that must be realized in visualizations. In addition, narratives that are composed by novice writers pose additional challenges due to the disfluencies stemming from ungrammatical text. In this

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Bell, Christine, Benjamin Bach, and Tobias Kauer. "Ways of seeing: Peace process data-viz as a research practice." Convergence: The International Journal of Research into New Media Technologies 28, no. 1 (2022): 150–69. http://dx.doi.org/10.1177/13548565211050748.

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This article uses John Berger’s idea (1972) that images are connected to ‘ways of seeing’ to reflect on the creation of interactive visualizations of peace agreement and peace process data. We reflect on three visualizations created during a three-year long collaboration. We first describe our data, the peacebuilding ambitions for its use, and why we produced interactive forms of visualization. Second, we describe how the process of producing these visualizations created an interdisciplinary conversation and collaboration, which also connected different epistemic and geographic communities inv

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Shi, Yang, Yechun Peng, Jieying Ding, Xingyu Lan, and Nan Cao. "Double Tap for This Post: Understanding the Communication of Data Visualization on Social Media." Proceedings of the ACM on Human-Computer Interaction 9, no. 2 (2025): 1–27. https://doi.org/10.1145/3710963.

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Data visualizations are increasingly used by news outlets on social media to communicate insights to a broad audience. However, little is known about how readers interact with and respond to data visualizations in these quick-consumption environments. In this work, we introduce a conceptual model that categorizes visualization reading that leads to the communication effect of likes on Instagram. The model was developed through a grounded theory analysis of the statements explaining the reasoning behind the likes of visualization, which were recorded from a preliminary study. Informed by coding

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d’Auriol, Brian J. "Open our visualization eyes, individualization: On Albrecht Dürer’s 1515 wood cut celestial charts." Information Visualization 19, no. 2 (2019): 137–62. http://dx.doi.org/10.1177/1473871619881114.

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The position that visualization is an intimate part of human existence and associated with the human species is advanced in this work: visualization abounds delimited by the space of individuality across human history. Visualization involves two complementary aspects of the uniqueness deemed of individuals: individualization reflects individuals’ capabilities and personalization reflects designs that seek compatibility with individuals’ capabilities. This has a number of implications upon the design and evaluation of visualizations. For one, a suitable visualization model that expresses indivi

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Dumov, Alexander. "On Visualization tools in Bayesian Epistemological Researches." Artificial societies 19, no. 2 (2024): 0. http://dx.doi.org/10.18254/s207751800030100-9.

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The author examines the features of the use of visualization tools in bayesian epistemology in connection with the question of the relationship between “scientific” and “philosophical” visualization. He analyzes some of the ways to classify visualization tools, with special attention paid to the approach to classification of visualizations anticipated by V.A. Kanke and developed A.V. Makulin. Based on the example of the practices of using visualization tools implemented in the work of I. Douven’s and W. Meijs&apos;s “Measuring Coherence,” the structure and goals of forming visualizations i

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Shamim, Azra, Vimala Balakrishnan, and Muhammad Tahir. "Evaluation of opinion visualization techniques." Information Visualization 14, no. 4 (2014): 339–58. http://dx.doi.org/10.1177/1473871614550537.

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In this article, we are reporting the findings of a usability study of opinion mining systems’ visualizations. The objectives of this study are to first to rank the visualizations of the opinion mining systems and second to identify important visualization metrics. A questionnaire survey was designed to ask users their level of agreement or disagreement about the 11 selected visualizations against a set of information visualization metrics on a Likert scale. The data were collected by conducting seminars and using a web-based online questionnaire (N = 146). The collected data were analyzed usi

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Sauter, Vicki L., Srikanth Mudigonda, Ashok Subramanian, and Ray Creely. "Visualization-Based Decision Support Systems." International Journal of Decision Support System Technology 3, no. 1 (2011): 1–20. http://dx.doi.org/10.4018/jdsst.2011010101.

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Increasingly, decision makers are incorporating large quantities of interrelated data in their decision making. Decision support systems need to provide visualization tools to help decision makers glean trends and patterns that will help them design and evaluate alternative actions. While visualization software that might be incorporated into decision support systems is available, the literature does not provide sufficient guidelines for selecting among possible visualizations or their attributes. This paper describes a case study of the development of a visualization component to represent re

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Barral, Oswald, SÉbastien LallÉ, Alireza Iranpour, and Cristina Conati. "Effect of Adaptive Guidance and Visualization Literacy on Gaze Attentive Behaviors and Sequential Patterns on Magazine-Style Narrative Visualizations." ACM Transactions on Interactive Intelligent Systems 11, no. 3-4 (2021): 1–46. http://dx.doi.org/10.1145/3447992.

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We study the effectiveness of adaptive interventions at helping users process textual documents with embedded visualizations, a form of multimodal documents known as Magazine-Style Narrative Visualizations (MSNVs). The interventions are meant to dynamically highlight in the visualization the datapoints that are described in the textual sentence currently being read by the user, as captured by eye-tracking. These interventions were previously evaluated in two user studies that involved 98 participants reading excerpts of real-world MSNVs during a 1-hour session. Participants’ outcomes included

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Tang, Diane, Chris Stolte, and Robert Bosch. "Design Choices when Architecting Visualizations." Information Visualization 3, no. 2 (2004): 65–79. http://dx.doi.org/10.1057/palgrave.ivs.9500067.

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In this paper, we focus on some of the key design decisions we faced during the process of architecting a visualization system and present some possible choices, with their associated advantages and disadvantages. We frame this discussion within the context of Rivet, our general visualization environment designed for rapidly prototyping interactive, exploratory visualization tools for analysis. As we designed increasingly sophisticated visualizations, we needed to refine Rivet in order to be able to create these richer displays for larger and more complex data sets. The design decisions we dis

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Xie, Yupeng, Yuyu Luo, Guoliang Li, and Nan Tang. "HAIChart: Human and AI Paired Visualization System." Proceedings of the VLDB Endowment 17, no. 11 (2024): 3178–91. http://dx.doi.org/10.14778/3681954.3681992.

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The growing importance of data visualization in business intelligence and data science emphasizes the need for tools that can efficiently generate meaningful visualizations from large datasets. Existing tools fall into two main categories: human-powered tools ( e.g. , Tableau and PowerBI), which require intensive expert involvement, and AI-powered automated tools ( e.g. , Draco and Table2Charts), which often fall short of guessing specific user needs. In this paper, we aim to achieve the best of both worlds. Our key idea is to initially auto-generate a set of high-quality visualizations to min

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Isenberg, Petra, Niklas Elmqvist, Jean Scholtz, Daniel Cernea, Kwan-Liu Ma, and Hans Hagen. "Collaborative visualization: Definition, challenges, and research agenda." Information Visualization 10, no. 4 (2011): 310–26. http://dx.doi.org/10.1177/1473871611412817.

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The conflux of two growing areas of technology – collaboration and visualization – into a new research direction, collaborative visualization, provides new research challenges. Technology now allows us to easily connect and collaborate with one another – in settings as diverse as over networked computers, across mobile devices, or using shared displays such as interactive walls and tabletop surfaces. Digital information is now regularly accessed by multiple people in order to share information, to view it together, to analyze it, or to form decisions. Visualizations are used to deal more effec

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O'Donoghue, Seán I., Benedetta Frida Baldi, Susan J. Clark, et al. "Visualization of Biomedical Data." Annual Review of Biomedical Data Science 1, no. 1 (2018): 275–304. http://dx.doi.org/10.1146/annurev-biodatasci-080917-013424.

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The rapid increase in volume and complexity of biomedical data requires changes in research, communication, and clinical practices. This includes learning how to effectively integrate automated analysis with high–data density visualizations that clearly express complex phenomena. In this review, we summarize key principles and resources from data visualization research that help address this difficult challenge. We then survey how visualization is being used in a selection of emerging biomedical research areas, including three-dimensional genomics, single-cell RNA sequencing (RNA-seq), the pro

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Hinrichs, Uta, Stefania Forlini, and Bridget Moynihan. "In defense of sandcastles: Research thinking through visualization in digital humanities." Digital Scholarship in the Humanities 34, Supplement_1 (2018): i80—i99. http://dx.doi.org/10.1093/llc/fqy051.

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Abstract Although recent research acknowledges the potential of visualization methods in digital humanities (DH), the predominant terminology used to describe visualizations (prototypes and tools) focuses on their use as a means to an end and, more importantly, as an instrument in the service of humanities research. We introduce the sandcastle as a metaphorical lens and provocative term to highlight visualization as a research process in its own right. We argue that building visualization sandcastles provides a holistic approach to cross-disciplinary knowledge generation that embraces visualiz

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Henke, Jackie, and Fenggang Yang (楊鳳崗). "Mapping Religious Sites in China: A Research Note." Review of Religion and Chinese Society 9, no. 2 (2022): 249–74. http://dx.doi.org/10.1163/22143955-12340008.

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Abstract Drawing from visual studies scholarship, we highlight current and persistent critiques of sociological visualization, note recent developments in visualization tools for sociologists, and propose how sociologists can be reflective about their visualization choices. As a case study, we outline the visualization development and selection process in our project of mapping Chinese religious venues. We explain the visualization challenges we faced, the visual biases we hoped to manage, the strengths and limitations of various visualization methods we identified, and how we selected visuali

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Hirsch, Linda, Florian Müller, Francesco Chiossi, Theodor Benga, and Andreas Martin Butz. "My Heart Will Go On: Implicitly Increasing Social Connectedness by Visualizing Asynchronous Players’ Heartbeats in VR Games." Proceedings of the ACM on Human-Computer Interaction 7, CHI PLAY (2023): 976–1001. http://dx.doi.org/10.1145/3611057.

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Social games benefit from social connectedness between players because it improves the gaming experience and increases enjoyment. In virtual reality (VR), various approaches, such as avatars, are developed for multi-player games to increase social connectedness. However, these approaches are lacking in single-player games. To increase social connectedness in such games, our work explores the visualization of physiological data from asynchronous players, i.e., electrocardiogram (ECG). We identified two visualization dimensions, the number of players, and the visualization style, after a design

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Richards, Clive, and Yuri Engelhardt. "The DNA of information design for charts and diagrams." Information Design Journal 25, no. 3 (2019): 277–92. http://dx.doi.org/10.1075/idj.25.3.05ric.

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Abstract A comprehensive framework is presented for analyzing and specifying an extensive range of visualizations, such as statistical charts, maps, family trees, Venn diagrams, flow charts, texts using indenting, technical drawings and scientific illustrations. This paper describes how the fundamental ‘DNA’ building blocks of visual encoding and composition can be combined into ‘visualization patterns’ that specify these and other types of visualizations. We offer different ways of specifying each visualization pattern, including through a DNA tree diagram and through a rigorously systematic

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Dragan, Dinu, Veljko Petrovic, Dusan Gajic, Zarko Zivanov, and Dragan Ivetic. "An empirical study of data visualization techniques in PACS design." Computer Science and Information Systems 16, no. 1 (2019): 247–71. http://dx.doi.org/10.2298/csis180430017d.

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The paper presents an empirical study of multidimensional visualization techniques. The study is motivated by the problem of decision making in PACS (Picture Archiving and Communications System) design. A comprehensive survey of visualizations used in literature is performed and these survey results are then used to produce the final set of considered visualizations: tables (as control), scatterplots, parallel coordinates, and star plots. An electronic testing tool is developed to present visualizations to three sets of experimental subjects in order to determine which visualization technique

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Pugh, Ashley J., Christopher D. Wickens, Nathan Herdener, Benjamin A. Clegg, and C. A. P. Smith. "Effect of Visualization on Spatial Trajectory Prediction under Uncertainty." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 61, no. 1 (2017): 297–301. http://dx.doi.org/10.1177/1541931213601555.

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Spatial predictions of uncertain trajectories are challenging, but are often associated with overconfidence. This study explored how a visualization influenced prediction of uncertain spatial trajectories (e.g., unknown path of a downed aircraft or future path of a hurricane). Mean and variance estimates were compared for participants provided with a gradient-shaded “cone of uncertainty” visualization and those who were not provided with a visualization. Participants exhibited less error in mean estimations when a visualization was present, but performed worse than controls once the visualizat

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HUNKO, BOHDAN. "HARDWARE AND SOFTWARE SYSTEM OF LIGHT VISUALIZATION OF SOUND SIGNALS." Computer systems and information technologies, no. 2 (June 30, 2022): 33–41. http://dx.doi.org/10.31891/csit-2022-2-4.

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The paper proposes a hardware and software system for light visualization of sound signals. The paper goes through performance requirements, system design process and practical solutions for audio visualization. The paper differs from the present solutions because it not only shows the end results, but also goes through design process, decision-making and performance measurements. There are many methods that are practically used for audio visualization: amplitude visualization, spectral visualization, frequency visualization etc. One of the most interesting and common methods is spectral

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Wong, Pak Chung, Harlan Foote, David L. Kao, Ruby Leung, and Jim Thomas. "Multivariate Visualization with Data Fusion." Information Visualization 1, no. 3-4 (2002): 182–93. http://dx.doi.org/10.1057/palgrave.ivs.9500024.

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We discuss a fusion-based visualization method to analyze a multivariate climate dataset and its metadata. The primary difference between a conventional visualization and a fusion-based visualization is that the former draws on a single image whereas the latter draws on multiple see-through layers, which are then overlaid on each other to form the final visualization. We propose optimized colormaps to highlight subtle features that would not be shown with conventional colormaps. We present fusion techniques that integrate multiple single-purpose visualization techniques into the same viewing s

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Miller, Charles, Lucas Lecheler, Bradford Hosack, Aaron Doering, and Simon Hooper. "Orchestrating Data, Design, and Narrative." International Journal of Cyber Behavior, Psychology and Learning 2, no. 2 (2012): 1–15. http://dx.doi.org/10.4018/ijcbpl.2012040101.

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Information visualization involves the visual, and sometimes interactive, presentation and organization of complex data in a clear, compelling representation. Information visualization is an essential element in peoples’ daily lives, especially those in data-driven professions, namely online educators. Although information visualization research and methods are prevalent in the diverse fields of healthcare, statistics, economics, information technology, computer science, and politics, few examples of successful information visualization design or integration exist in online learning. The autho

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Derick, Leony, Gayane Sedrakyan, Pedro J. Munoz-Merino, Carlos Delgado Kloos, and Katrien Verbert. "Evaluating emotion visualizations using AffectVis, an affect-aware dashboard for students." Journal of Research in Innovative Teaching & Learning 10, no. 2 (2017): 107–25. http://dx.doi.org/10.1108/jrit-05-2017-0011.

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Purpose The purpose of this paper is to evaluate four visualizations that represent affective states of students. Design/methodology/approach An empirical-experimental study approach was used to assess the usability of affective state visualizations in a learning context. The first study was conducted with students who had knowledge of visualization techniques (n=10). The insights from this pilot study were used to improve the interpretability and ease of use of the visualizations. The second study was conducted with the improved visualizations with students who had no or limited knowledge of

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Svalina, Ana, Jesenka Pibernik, Jurica Dolić, and Lidija Mandić. "Assessing the Design of Interactive Radial Data Visualizations for Mobile Devices." Journal of Imaging 9, no. 5 (2023): 100. http://dx.doi.org/10.3390/jimaging9050100.

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The growing use of mobile devices in daily life has led to an increased demand for the display of large amounts of data. In response, radial visualizations have emerged as a popular type of visualization in mobile applications due to their visual appeal. However, previous research has highlighted issues with these visualizations, namely misinterpretation due to their column length and angles. This study aims to provide guidelines for designing interactive visualizations on mobile devices and new evaluation methods based on the results of an empirical study. The perception of four types of circ

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Schneider, Max, Michelle McDowell, Peter Guttorp, E. Ashley Steel, and Nadine Fleischhut. "Effective uncertainty visualization for aftershock forecast maps." Natural Hazards and Earth System Sciences 22, no. 4 (2022): 1499–518. http://dx.doi.org/10.5194/nhess-22-1499-2022.

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Abstract. Earthquake models can produce aftershock forecasts, which have recently been released to lay audiences. While visualization literature suggests that displaying forecast uncertainty can improve how forecast maps are used, research on uncertainty visualization is missing from earthquake science. We designed a pre-registered online experiment to test the effectiveness of three visualization techniques for displaying aftershock forecast maps and their uncertainty. These maps showed the forecasted number of aftershocks at each location for a week following a hypothetical mainshock, along

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Siddiqui, Tarique, Paul Luh, Zesheng Wang, Karrie Karahalios, and Aditya G. Parameswaran. "Expressive querying for accelerating visual analytics." Communications of the ACM 65, no. 7 (2022): 85–94. http://dx.doi.org/10.1145/3535337.

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Data visualization is the primary means by which data analysts explore patterns, trends, and insights in their data. Unfortunately, existing visual analytics tools offer limited expressiveness and scalability when it comes to searching for visualizations over large datasets, making visual data exploration labor-intensive and time-consuming. In this work, we introduce the problem of visualization search and highlight two underlying challenges of search enumeration and visualization matching. To address them, we first present our work on Zenvisage that helps enumerate large collections of visual

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Lor, Maichou, Theresa A. Koleck, and Suzanne Bakken. "Information visualizations of symptom information for patients and providers: a systematic review." Journal of the American Medical Informatics Association 26, no. 2 (2018): 162–71. http://dx.doi.org/10.1093/jamia/ocy152.

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AbstractObjectiveTo systematically synthesize the literature on information visualizations of symptoms included as National Institute of Nursing Research common data elements and designed for use by patients and/or healthcare providers.MethodsWe searched CINAHL, Engineering Village, PsycINFO, PubMed, ACM Digital Library, and IEEE Explore Digital Library to identify peer-reviewed studies published between 2007 and 2017. We evaluated the studies using the Mixed Methods Appraisal Tool (MMAT) and a visualization quality score, and organized evaluation findings according to the Health Information T

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S, ABINAYA. "DATA VISUALIZATION USING POWER BI." International Scientific Journal of Engineering and Management 03, no. 04 (2024): 1–9. http://dx.doi.org/10.55041/isjem01536.

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This paper discusses Power BI, a Microsoft-developed business intelligence tool, for data visualization. It discusses its components, such as charts, maps, matrices, and custom visuals, and its process of connecting and importing data from various sources. The paper also discusses the advanced data modeling and transformation features, allowing users to shape and prepare their data for effective visualization. It also discusses the collaboration and sharing capabilities of Power BI, enabling teams to work together on data visualizations and distribute them to stakeholders. The paper also highl

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Li, Weilian, Jun Zhu, Yunhao Zhang, et al. "A Fusion Visualization Method for Disaster Information Based on Self-Explanatory Symbols and Photorealistic Scene Cooperation." ISPRS International Journal of Geo-Information 8, no. 3 (2019): 104. http://dx.doi.org/10.3390/ijgi8030104.

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Scientific and appropriate visualizations increase the effectiveness and readability of disaster information. However, existing fusion visualization methods for disaster scenes have some deficiencies, such as the low efficiency of scene visualization and difficulties with disaster information recognition and sharing. In this paper, a fusion visualization method for disaster information, based on self-explanatory symbols and photorealistic scene cooperation, was proposed. The self-explanatory symbol and photorealistic scene cooperation method, the construction of spatial semantic rules, and fus

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Yoo, Sangbong, Seongmin Jeong, and Yun Jang. "Gaze Behavior Effect on Gaze Data Visualization at Different Abstraction Levels." Sensors 21, no. 14 (2021): 4686. http://dx.doi.org/10.3390/s21144686.

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Many gaze data visualization techniques intuitively show eye movement together with visual stimuli. The eye tracker records a large number of eye movements within a short period. Therefore, visualizing raw gaze data with the visual stimulus appears complicated and obscured, making it difficult to gain insight through visualization. To avoid the complication, we often employ fixation identification algorithms for more abstract visualizations. In the past, many scientists have focused on gaze data abstraction with the attention map and analyzed detail gaze movement patterns with the scanpath vis

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Fu, Bo, Ben Steichen, and Wenlu Zhang. "Towards Adaptive Ontology Visualization — Predicting User Success from Behavioral Data." International Journal of Semantic Computing 13, no. 04 (2019): 431–52. http://dx.doi.org/10.1142/s1793351x1940018x.

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Ontology visualization plays an important role in human data interaction by offering clarity and insight for complex structured datasets. Recent usability studies of ontology visualization techniques have added to our understanding of desired features when assisting users in the interactive process. However, user behavioral data such as eye gaze and event logs have largely been used as indirect evidence to explain why a user may have carried out certain tasks in a controlled environment, as opposed to direct input that informs the underlying visualization system. Although findings from usabili

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Arisyana, Dwi Jaya, and Abay Delon Subarna. "Visual Elements of Kabasaran Character on Web Comic Nusantara Droid War." ARTic 3, no. 2 (2021): 307–24. http://dx.doi.org/10.34010/artic.v3i2.8456.

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Comics are popular, comics contain stories that are published through images and text and contain information. Comics contain knowledge and entertainment. Comic stories and depictions come from creativity resulting in a variety of stories and visual styles. The visual style and content of the story influenced the interest of the audience and raise many comic genres. Many comics in Indonesia take inspiration from Indonesian culture both from their stories and visualizations. Many research on comics has been carried, but research on the visualization of Indonesian culture in comics is limited, a

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Robertson, Philip K. "Visualizing Spatial Data: The Problem of Paradigms." International Journal of Pattern Recognition and Artificial Intelligence 11, no. 02 (1997): 263–73. http://dx.doi.org/10.1142/s0218001497000123.

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This paper describes the problem of developing working paradigms foradvanced spatial data applications. The key role of interactive visualization in enabling the expertise of specialists, if effectively integrated into their working environments, is described. The scope forapplying intelligence in designing visualizations to support,rather than to supplant, the expert is explored. A systematic framework describing the visualization design process, and an approach to applying intelligence around metavisualizations of the visualization design process, are summarized.

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Lee, Mark D., Lena Mamykina, and Chandra Harrison. "Relational and Metaphorical Approaches to Information Visualization: Effects of Age and Graphical Facility." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 49, no. 2 (2005): 195–99. http://dx.doi.org/10.1177/154193120504900210.

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Diabetes requires continual monitoring of diet, glucose level, and other personal data so that a balance may be achieved between a desired lifestyle and one that is healthy and sustainable. While ubiquitous computing technologies can capture data necessary to make judgments, individuals need to be able to easily comprehend the data to draw conclusions. To help individuals with diabetis with this task, we designed two types of visualizations, a relational visualization using traditional graph-based techniques for presenting data, and a metaphorical visualization that conveys data using familiar

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Howe, Bill. "Technical Perspective." ACM SIGMOD Record 50, no. 1 (2021): 50. http://dx.doi.org/10.1145/3471485.3471497.

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Visualization enables effective data exploration by harnessing the higher bandwidth interactivity of the human visual cortex. But the space of possible visualizations is immense, such that general abstractions for creating (i.e., finding) the right visualization are elusive, despite recent progressin systems like vega [2] and Draco [1].

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Grammel, Lars, Melanie Tory, and Margaret-Anne Storey. "Erratum to “How Information Visualization Novices Construct Visualizations”." IEEE Transactions on Visualization and Computer Graphics 17, no. 2 (2011): 260. http://dx.doi.org/10.1109/tvcg.2011.13.

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Ottley, Alvitta, R. Jordan Crouser, Caroline Ziemkiewicz, and Remco Chang. "Manipulating and controlling for personality effects on visualization tasks." Information Visualization 14, no. 3 (2013): 223–33. http://dx.doi.org/10.1177/1473871613513227.

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Researchers in human–computer interaction and visualization have recently been challenged to develop a better understanding of users’ underlying cognitive processes in order to improve system design and evaluation. While existing studies lay a critical foundation for understanding the role of cognitive processes and individual differences in visualization, concretizing the intuition that each user experiences a visual interface through an individual cognitive lens is only half the battle. In this article, we investigate the impact of manipulating users’ personality on observed behavior when us

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Witt, Jessica, Hao Chenxu, and Priti Shah. "The Impact of Visualizing the Process of Disease Spread on Social Distancing Intentions and Attitudes." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 66, no. 1 (2022): 2026–30. http://dx.doi.org/10.1177/1071181322661172.

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Novel diseases bring with them new fears, novel public health measures, and immense uncertainty. The uncertainty, coupled with distrust and politization of science, can lead to confusion about the importance of adopting interventions such as social distancing. We tested the impact of a well-designed visualization on attitudes towards and intentions to engage in social distancing. The visualization showed both the outcomes of social distancing and the process by which social distancing slowed the rate of disease transmission. We found that compared to visualizations that only showed the outcome

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Bradbury, Judd D., and Rosanna E. Guadagno. "Documentary narrative visualization: Features and modes of documentary film in narrative visualization." Information Visualization 19, no. 4 (2020): 339–52. http://dx.doi.org/10.1177/1473871620925071.

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Documentary narrative visualization is a data visualization approach using the features of documentary film. Researchers in the field of visualization are searching for better methods of constructing narratives from data sets. In this article, we explore the structure and techniques of documentary film and how they apply to the practice of constructing narrative visualization with video. We review the structural aspects of documentary film with examples relevant for narrative visualization. Using six of the highest quality video-based narrative visualizations, we conducted a study of user pref

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Kokalj, Žiga, and Maja Somrak. "Why Not a Single Image? Combining Visualizations to Facilitate Fieldwork and On-Screen Mapping." Remote Sensing 11, no. 7 (2019): 747. http://dx.doi.org/10.3390/rs11070747.

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Visualization products computed from a raster elevation model still form the basis of most archaeological and geomorphological enquiries of lidar data. We believe there is a need to improve the existing visualizations and create meaningful image combinations that preserve positive characteristics of individual techniques. In this paper, we list the criteria a good visualization should meet, present five different blend modes (normal, screen, multiply, overlay, luminosity), which combine various images into one, discuss their characteristics, and examine how they can be used to improve the visi

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