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Journal articles on the topic 'Visualization'
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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 (August 29, 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. Figurative elements are widely used in information visualization in practice and are increasingly recognized as beneficial for memorability. However, the information encoded by a figurative image and how that information contributes to the overall content of the visualization lacks robust definition within visualization theory. To support critical analysis of hybrid visualization, we provide a model of the information content of a figurative image, which we call the figurative frame model. We use the model to classify hybrid visualizations along two dimensions: information density in the images (defined as the number of features and preserved measurements) and integration of figurative and abstract forms of representation. The new vocabulary for analysing hybrid visualizations reveals how the figurative images expand the expressiveness of information visualization by integrating descriptive and abstract information and allows the formulation of new measures of visualization quality which can be applied to hybrid visualizations.
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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 (June 11, 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 these kinds of tasks may not be necessary.
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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 (December 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 Visualization, introduces Visualization Schemas, and presents an extensible system architecture. The Snap model for custom multiple-view visualization establishes an analogy to the relational data model, enabling coordinated data design and visualization design. Visualization Schemas are a natural extension to data Schemas, and provide a user interface that enables data owners to rapidly construct and disseminate custom visualizations without programming. The web-based software architecture supports run-time extensibility, enabling end-user integration and dissemination of diverse data and visualization tools from the field.
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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 (December 23, 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 effective repositories for algorithm visualizations is recognized as a significant gap. Emphasizing the need for improved dissemination, the report suggests initiatives to inform developers about existing gaps and requirements within the field. It also underscores the importance of propagating established best practices for creating high-quality visualizations. In conclusion, the report highlights the urgency of addressing these deficiencies to cultivate a more robust and accessible ecosystem for algorithm visualization resources. Despite the challenges, there is a clear call to action to enhance the standard of algorithm visualizations and foster a more inclusive and informed community. Key Words: Algorithm, Visualization, Pathfinder, Sorting, Search Game.
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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 (November 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 selection task. Additionally, we explored how extended cognition theory can be applied to visualization evaluations by incorporating interface features that afford externalization of knowledge within the task environment. Our findings suggest that regardless of how uncertainty is represented, training comprehension leads to superior transfer, reduced workload, more accurate metacognitive judgments, and higher cognitive efficiency. Our findings also suggest that external cognition during decision making leads to improved accuracy and cognitive efficiency. The present study contributes to research on the design and evaluation of uncertainty visualizations. In addition, this study extends previous work by demonstrating how extended cognition theory can inform the design of human-machine interfaces to support decision making.
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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 (March 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 can be reused by mapping varieties of input data to their model and can be composed into different visualizations. Our approach is implemented in the CONVErT framework and has been applied to many visualization examples. Three case studies for visualizing statistical charts, visualization of traffic data, and reuse of a Minard's map visualization's components, are presented in this paper. A detailed user study of our approach for reusing notations and generating visualizations has been provided. 80% of the participants in this user study agreed that the novel approach to visualization was easy and 87% stated that they quickly learned to use the tool support.
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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 (January 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 their own visual schemes makes optimal use of both the data analysis tools and human visual cognition. In this article, we focus on a currently available interactive stereoscopically perceivable multidimensional data visualization solution, as such tools could provide CSMEs with better perception of their data compared to interpreting IDV on flat media (whether visualized as 2D or 3D structures).
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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 (November 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 Geographical Information Science venues that present such applications. Inspired by existing classifications, we characterize these papers according to the data they visualize and the geographical distance between the visualization and the data the visualization represents. This analysis reveals existing opportunities for situated geovisualization applications using AR.
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Kharakhash, О. "DATA VISUALIZATION: TRANSFORMING COMPLEX DATA INTO ACTIONABLE INSIGHTS." Automation of technological and business processes 15, no. 2 (June 19, 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. The article delves into the process of choosing the right visualization techniques, exploring different types of visualization techniques such as charts, graphs, maps, and interactive dashboards.
Guidelines for selecting the right visualization method are provided, focusing on effectively conveying desired insights. The article “Data Visualization: Transforming Complex Data into Actionable Insights” emphasizes the need to consider factors such as data complexity, audience, and objectives when choosing visualization techniques. It encourages data analysts to adopt a thoughtful approach in selecting visualizations that best serve the purpose and maximize impact. Design principles for creating visually appealing and informative data visualizations are explored, and open source information is utilized to highlight best practices and common pitfalls to avoid. The article concludes by summarizing the importance of data visualization in transforming complex data into actionable insights.
It emphasizes the need for data analysts to prioritize data visualization skills and enhance their visual storytelling abilities to effectively communicate insights, influence stakeholders, and drive meaningful outcomes. Overall, the article provides readers with knowledge, insights, and practical guidance to harness the power of data visualization and unlock the full potential of their data.
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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 (September 1, 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 decisionmaking process to become more convincing and reliable.
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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 (February 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 involved in peace processes. We term this ‘visualization-as-scoping’. Third, we reflect on both ‘what we saw’, through the process of visualization, how it affected policy, and the lessons we learned regarding visualization in the peacebuilding field. In the article, we argue that our experience of ‘visualization-as-scoping’ inverts traditional assumptions about the connection of data visualization to policy influence. In place of the notion of visualization-as-communication, focused on transmitting clear policy ‘messages’, we point to visualization-as-scoping as a practice of interchange, critique and re-iteration. Using John Berger as inspiration, we suggest that the ‘ways of seeing’ that result can usefully disrupt the idea of a data producing singular policy prescriptions, and rather enable people to grapple better with the complex political processes they are involved in.
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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 (October 9, 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 paper, we introduce the NARRATIVE THEATRE, a narrative visualization system under development in our laboratory that generates narrative visualizations from middle school writers’ text. The NARRATIVE THEATRE consists of a rich writing interface, a robust natural language processor, a narrative reasoner, and a storyboard generator. We discuss design issues bearing on narrative visualization, introduce the NARRATIVE THEATRE, and describe narrative corpora that have been collected to study narrative visualization. We conclude with a discussion of a narrative visualization research agenda.
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Shamim, Azra, Vimala Balakrishnan, and Muhammad Tahir. "Evaluation of opinion visualization techniques." Information Visualization 14, no. 4 (September 24, 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 using descriptive statistics and an independent sample t-test to rank the visualizations and investigate differences between perceptions of the two groups of respondents (the participants of the seminars and the online questionnaire), respectively. The results revealed that simple, eye pleasing, easy to understand, user-friendly visualizations with less pre-knowledge required rated higher than others. It is concluded that the participants of the online questionnaire mostly required more pre-knowledge to comprehend the visualizations as compared to the participants of the seminars. The important information visualization metrics are eye pleasing, easy to understand, user-friendly, informative design, usefulness, and representation style. The results of this study could aid in the design and development of visualizations for opinion mining systems.
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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 (December 17, 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 individualization and personalization is needed: a brief survey of models is presented. For another, addressing intellectual uniqueness requires deep analysis and selective objective balance due to the potentially humongous number of unique ideas that support visualization design and viewer experiences. The Engineering Insightful Serviceable Visualizations model is selected as a guide for a comprehensive visualization evaluation of Albrecht Dürer’s 1515 celestial charts. Motivating this choice of visualization is its significance as the first notable and influential European star chart intended for scientific use and mass viewership, and as a blending of science and art. In addition, there is a lack of discussion concerning this particular visualization in the visualization literature. Concluding remarks suggest the significance of approaching visualization from this point-of-view.
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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's “Measuring Coherence,” the structure and goals of forming visualizations in Bayesian epistemological research are described. In conclusion, the author talks about how the study of the practices of using visual means in Bayesian epistemology (and other areas of formal philosophy) contributes to the revision of existing views on the features of “philosophical” visualizations.
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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 (January 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 regional relationship data. It addresses the specific information goals of the target organization, various constraints that needed to be satisfied, and how the goals were achieved via a suitable choice of visualization technology and visualization algorithms. The development process highlighted the need for specific visualizations to be driven by the specific problem characteristics as much as general rules of visualization. Lessons learned during the process and how these lessons may be generalized to address similar requirements is presented.
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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 (December 31, 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 their subjective feedback about the guidance, and well as their reading time and score on a set of comprehension questions. Results showed that the interventions can increase comprehension of the MSNV excerpts for users with lower levels of a cognitive skill known as visualization literacy. In this article, we aim to further investigate this result by leveraging eye-tracking to analyze in depth how the participants processed the interventions depending on their levels of visualization literacy. We first analyzed summative gaze metrics that capture how users process and integrate the key components of the narrative visualizations. Second, we mined the salient patterns in the users’ scanpaths to contextualize how users sequentially process these components. Results indicate that the interventions succeed in guiding attention to salient components of the narrative visualizations, especially by generating more transitions between key components of the visualization (i.e., datapoints, labels, and legend), as well as between the two modalities (text and visualization). We also show that the interventions help users with lower levels of visualization literacy to better map datapoints to the legend, which likely contributed to their improved comprehension of the documents. These findings shed light on how adaptive interventions help users with different levels of visualization literacy, informing the design of personalized narrative visualizations.
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O'Donoghue, Seán I., Benedetta Frida Baldi, Susan J. Clark, Aaron E. Darling, James M. Hogan, Sandeep Kaur, Lena Maier-Hein, et al. "Visualization of Biomedical Data." Annual Review of Biomedical Data Science 1, no. 1 (July 20, 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 protein structure universe, phosphoproteomics, augmented reality–assisted surgery, and metagenomics. While specific research areas need highly tailored visualizations, there are common challenges that can be addressed with general methods and strategies. Also common, however, are poor visualization practices. We outline ongoing initiatives aimed at improving visualization practices in biomedical research via better tools, peer-to-peer learning, and interdisciplinary collaboration with computer scientists, science communicators, and graphic designers. These changes are revolutionizing how we see and think about our data.
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Tang, Diane, Chris Stolte, and Robert Bosch. "Design Choices when Architecting Visualizations." Information Visualization 3, no. 2 (April 22, 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 discuss in this paper include the internal data model, data access, semantic meta-data information the visualization can use to create effective visual encodings, the need for data transformations in a visualization tool, modular objects for flexibility, and the tradeoff between simplicity and expressiveness when providing methods for creating visualizations.
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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 (July 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 minimize manual effort, then refine this process iteratively with user feedback to more closely align with their needs. To this end, we present HAIChart, a reinforcement learning-based framework designed to iteratively recommend good visualizations for a given dataset by incorporating user feedback. Specifically, we propose a Monte Carlo Graph Search-based visualization generation algorithm paired with a composite reward function to efficiently explore the visualization space and automatically generate good visualizations. We devise a visualization hints mechanism to actively incorporate user feedback, thus progressively refining the visualization generation module. We further prove that the top- k visualization hints selection problem is NP-hard and design an efficient algorithm. We conduct both quantitative evaluations and user studies, showing that HAIChart significantly outperforms state-of-the-art human-powered tools (21% better at Recall and 1.8× faster) and AI-powered automatic tools (25.1% and 14.9% better in terms of Hit@3 and R10@30, respectively).
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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 (July 29, 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 effectively with large amounts of information while interactive visualizations allow users to explore the underlying data. While researchers face many challenges in collaboration and in visualization, the emergence of collaborative visualization poses additional challenges, but it is also an exciting opportunity to reach new audiences and applications for visualization tools and techniques. The purpose of this article is (1) to provide a definition, clear scope, and overview of the evolving field of collaborative visualization, (2) to help pinpoint the unique focus of collaborative visualization with its specific aspects, challenges, and requirements within the intersection of general computer-supported cooperative work and visualization research, and (3) to draw attention to important future research questions to be addressed by the community. We conclude by discussing a research agenda for future work on collaborative visualization and urge for a new generation of visualization tools that are designed with collaboration in mind from their very inception.
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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 (October 29, 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 visualization as (1) an aesthetic provocation to elicit critical insights, interpretation, speculation, and discussions within and beyond scholarly audiences, (2) a dynamic process wherein speculation and re-interpretation advance knowledge within all disciplines involved, and (3) a mediator of ideas and theories within and across disciplines. Our argument is grounded in critical theory, DH, design, human–computer interaction, and visualization, and based on our own research on an exceptional literary collection. We argue that considering visualizations as sandcastles foregrounds valuable insights into the roles of visualization as a mindset, methodology, and praxis within humanities research and beyond.
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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 (October 24, 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 visualizations for varying research queries. In addition, we provide a list of considerations for fellow sociologists working to visualize geospatial point data.
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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 (September 29, 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 workshop with experts (N=4) and explored them in a single-user virtual escape room game. We spatially and temporally integrated the visualizations and compared two times two visualizations against a baseline condition without visualization in a within-subject lab study (N=34). All but one visualization significantly increased participants’ feelings of social connectedness. Heart icons triggered the strongest feeling of connectedness, understanding, and perceived support in playing the game.
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Richards, Clive, and Yuri Engelhardt. "The DNA of information design for charts and diagrams." Information Design Journal 25, no. 3 (December 31, 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 natural language sentence. Using this framework, a design tool is proposed for exploring visualization design options.
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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 allows users to make the correct decision in a sample decision making problem based on real-world data. Statistical analysis of the results demonstrates that visualizations show better results in decision support than tables. Further, when number of dimensions is large, 2D parallel coordinates show the best results in accuracy. The contribution of the presented research operates on two levels of abstraction. On the object level, it provides useful data regarding the relative merits of visualization techniques for the considered narrow use-case, which can then be generalized to other similar problem sets. On the meta level above, it contributes an enhanced methodology to the area of empirical visualization evaluation methods.
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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 (September 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 visualization was removed. For variance estimations, participants provided with a visualization did not retain any advantage in their estimations once the visualization was removed. Combined these findings suggest that visualizations may support some aspects of spatial predictions under uncertainty, but they can be associated with costs for the underlying knowledge being developed.
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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 visualization of audio signals. This method is based on a mathematical model of obtaining the frequency spectrum of an audio signal using fast Fourier transform (FFT) and subsequent visualization of this spectrum.
The proposed solution is designed with high performance and low latency in mind and shows practical applications of hardware and software-based optimization techniques. Also, the paper describes several visualizations technics and gives an overview on possible visualization improvements.
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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 (December 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 space. Our highly flexible fusion approach allows scientists to explore multiple parameters concurrently by mixing and matching images without frequently reconstructing new visualizations from the data for every possible combination. Although our primary visualization application is climate modeling, we show with examples that our fundamental design - fusing layers of data images for multivariate visualization - can be generalized for other information visualization applications.
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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 (July 3, 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 visualization techniques (n=105). Findings The results indicate that usability, measured by perceived usefulness and insight, is overall acceptable. However, the findings also suggest that interpretability of some visualizations, in terms of the capability to support emotional awareness, still needs to be improved. The level of students’ awareness of their emotions during learning activities based on the visualization interpretation varied depending on previous knowledge of information visualization techniques. Awareness was found to be high for the most frequently experienced emotions and activities that were the most frustrating, but lower for more complex insights such as interpreting differences with peers. Furthermore, simpler visualizations resulted in better outcomes than more complex techniques. Originality/value Detection of affective states of students and visualizations of these states in computer-based learning environments have been proposed to support student awareness and improve learning. However, the evaluation of visualizations of these affective states with students to support awareness in real life settings is an open issue.
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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 (April 27, 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 with the uncertainty around each location's forecast. Three different uncertainty visualizations were produced: (1) forecast and uncertainty maps adjacent to one another; (2) the forecast map depicted in a color scheme, with the uncertainty shown by the transparency of the color; and (3) two maps that showed the lower and upper bounds of the forecast distribution at each location. We compared the three uncertainty visualizations using tasks that were specifically designed to address broadly applicable and user-generated communication goals. We compared task responses between participants using uncertainty visualizations and using the forecast map shown without its uncertainty (the current practice). Participants completed two map-reading tasks that targeted several dimensions of the readability of uncertainty visualizations. Participants then performed a Comparative Judgment task, which demonstrated whether a visualization was successful in reaching two key communication goals: indicating where many aftershocks and no aftershocks are likely (sure bets) and where the forecast is low but the uncertainty is high enough to imply potential risk (surprises). All visualizations performed equally well in the goal of communicating sure bet situations. But the visualization with lower and upper bounds was substantially better than the other designs at communicating surprises. These results have implications for the visual communication of forecast uncertainty both within and beyond earthquake science.
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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 (April 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 authors provide a background of information visualization in education, explore a set of potential roles for information visualization in the future design and integration of online learning environments, provide examples of contemporary interactive visualizations in education, and discuss opportunities to move forward with design and research in this emerging area.
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S, ABINAYA. "DATA VISUALIZATION USING POWER BI." International Scientific Journal of Engineering and Management 03, no. 04 (April 23, 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 highlights best practices for creating effective data visualizations, such as selecting appropriate chart types, applying proper formatting, and incorporating interactivity and drill-down capabilities.
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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 (May 14, 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 circular visualizations on mobile devices was assessed through user interaction. All four types of circular visualizations were found to be suitable for use within mobile activity tracking applications, with no statistically significant difference in responses by type of visualization or interaction. However, distinguishing characteristics of each visualization type were revealed depending on the category that is in focus (memorability, readability, understanding, enjoyment, and engagement). The research outcomes provide guidelines for designing interactive radial visualizations on mobile devices, enhance the user experience, and introduce new evaluation methods. The study’s results have significant implications for the design of visualizations on mobile devices, particularly in activity tracking applications.
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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 (July 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 visualizations and supports simple visualization matching with the help of an interactive interface and an expressive visualization query language. For more finegrained and flexible visualization matching, including search for underspecified and approximate patterns, we extend Zenvisage to develop ShapeSearch. ShapeSearch supports a novel shape querying algebra that helps express a large class of pattern queries that are hard to specify with existing systems. ShapeSearch exposes multiple specification mechanisms: sketch, natural-language, and visual regular expressions that help users easily issue shape queries, while applying query-aware and perceptually-aware optimizations to efficiently execute them within interactive response times. To conclude, we discuss a number of open research problems to further improve the usability and performance of both Zenvisage and ShapeSearch.
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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 (December 7, 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 Technology Usability Evaluation Model.ResultsEighteen studies met inclusion criteria. Ten of these addressed all MMAT items; 13 addressed all visualization quality items. Symptom visualizations focused on pain, fatigue, and sleep and were represented as graphs (n = 14), icons (n = 4), and virtual body maps (n = 2). Studies evaluated perceived ease of use (n = 13), perceived usefulness (n = 12), efficiency (n = 9), effectiveness (n = 5), preference (n = 6), and intent to use (n = 3). Few studies reported race/ethnicity or education level.ConclusionThe small number of studies for each type of information visualization limit generalizable conclusions about optimal visualization approaches. User-centered participatory approaches for information visualization design and more sophisticated evaluation designs are needed to assess which visualization elements work best for which populations in which contexts.
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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 (July 8, 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 visualization. Abstract eye movement patterns change dramatically depending on fixation identification algorithms in the preprocessing. However, it is difficult to find out how fixation identification algorithms affect gaze movement pattern visualizations. Additionally, scientists often spend much time on adjusting parameters manually in the fixation identification algorithms. In this paper, we propose a gaze behavior-based data processing method for abstract gaze data visualization. The proposed method classifies raw gaze data using machine learning models for image classification, such as CNN, AlexNet, and LeNet. Additionally, we compare the velocity-based identification (I-VT), dispersion-based identification (I-DT), density-based fixation identification, velocity and dispersion-based (I-VDT), and machine learning based and behavior-based modelson various visualizations at each abstraction level, such as attention map, scanpath, and abstract gaze movement visualization.
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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 (December 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 usability studies have contributed to the refinement of ontology visualizations as a whole, the visualization techniques themselves remain a one-size-fits-all approach, where all users are presented with the same visualizations and interactive features. By contrast, this paper investigates the feasibility of using behavioral data, such as user gaze and event logs, as real-time indicators of how appropriate or effective a given visualization may be for a specific user at a moment in time, which in turn may be used to inform the adaptation of the visualization to the user on the fly. To this end, we apply established predictive modeling techniques in Machine Learning to predict user success using gaze data and event logs. We present a detailed analysis from a controlled experiment and demonstrate such predictions are not only feasible, but can also be significantly better than a baseline classifier during visualization usage. These predictions can then be used to drive the adaptations of visual systems in providing ad hoc visualizations on a per user basis, which in turn may increase individual user success and performance. Furthermore, we demonstrate the prediction performance using several different feature sets, and report on the results generated from several notable classifiers, where a decision tree-based learning model using a boosting algorithm produced the best overall results.
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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 (June 30, 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, as in previous research is still research on characters and their traits, but many character studies are associated with elements of Indonesian culture. Based on this, research on the content of Indonesian culture in a web comic entitled Nusantara Droid War needs to be carried out. Nusantara Droid War is one of the web comics that contains visualizations of Indonesian culture. The visualization used in this comic uses elements that represent the culture of an Minahasa North Sulawesi. The study aims to find out the cultural elements of North Sulawesi contained in the visualization of the character Droid Kabasaran in the Nusantara Droid War comic. It uses the descriptive qualitative method to describe and visually discover the object of study. The results of the study obtained a visualization of the character of Droid Kabasaran containing visualizations from the Minahasa culture, namely the Kabasaran dance. The visualization of Kabasaran dance elements is obtained from the results of character descriptions, character visuals and character costume elements. The visualization of Kabasaran characters in this comic is shown through skills (abilities) taken from three acts of Kabasaran dance, namely: Cakalele, Kumoyak, and Lalayaan. This research is expected to increase knowledge, increase the amount of research related to character visualization, enrich the science of visual communication design
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Li, Weilian, Jun Zhu, Yunhao Zhang, Yungang Cao, Ya Hu, Lin Fu, Pengcheng Huang, Yakun Xie, Lingzhi Yin, and Bingli Xu. "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 (February 27, 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 fusion visualization with spatial semantic constraints were discussed in detail. Finally, a debris flow disaster was selected for experimental analysis. The experimental results show that the proposed method can effectively realize the fusion visualization of disaster information, effectively express disaster information, maintain high-efficiency visualization, and provide decision-making information support to users involved in the disaster process.
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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 (March 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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Bradbury, Judd D., and Rosanna E. Guadagno. "Documentary narrative visualization: Features and modes of documentary film in narrative visualization." Information Visualization 19, no. 4 (July 3, 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 preferences for three pairs of videos. The video pairs were specifically matched to highlight unique features available in documentary film. Using the preferences expressed by our participants, we performed an empirical study to examine the documentary features most valued by our participants. Our results provide implications about the style and features of documentary film that are most useful in the construction of narrative visualization. Overall, this work provides a clear starting point for the construction of documentary narrative visualization providing content creators with specific techniques that will improve engagement of their content.
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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 (September 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, domain-specific imagery in an aesthetically pleasing composition. This paper presents a comparative analysis of these visualizations which indicated that older individuals with lower general graph-interpretation skills perform superior data analysis when using a visualization based on a familiar metaphor. These findings suggest that metaphorical visualizations constitute a viable alternative when designing informational displays for the elderly.
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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 (February 2011): 260. http://dx.doi.org/10.1109/tvcg.2011.13.
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Dávila, Patricio. "Visualization as assemblage." Information Design Journal 23, no. 1 (July 20, 2017): 19–31. http://dx.doi.org/10.1075/idj.23.1.04dav.
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The Anti-Eviction Mapping Project is an example of critical visualization practice that interrogates both its own conditions of production and how who is represented is also affected by the representations. In order to describe and analyze this form of practice the notion of assemblage as well as tools from actor-network theory are employed. These concepts allow the researcher or designer to consider how visualizations operate beyond its existence as a discrete representation but rather as a process that weaves a network of humans and non-humans together which is especially relevant to a critical engagement in information visualization practice.
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Howe, Bill. "Technical Perspective." ACM SIGMOD Record 50, no. 1 (June 15, 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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Ottley, Alvitta, R. Jordan Crouser, Caroline Ziemkiewicz, and Remco Chang. "Manipulating and controlling for personality effects on visualization tasks." Information Visualization 14, no. 3 (December 4, 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 using a visualization. In a targeted study, we demonstrate that personality priming can result in changes in behavior when interacting with visualizations. We then discuss how this and similar techniques could be used to control for personality effects when designing and evaluating visualizations systems.
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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 (September 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 outcomes, process visualization increased the intention to engage in social distancing and the positive attitudes towards social distancing. The visualizations were also compelling as they were contained within the most-viewed on-line Washington Post article to date.
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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 (March 27, 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 visibility (recognition) of small topographical features. Blending different relief visualization techniques allows for a simultaneous display of distinct topographical features in a single (enhanced) image. We provide a “recipe” and a tool for a mix of visualization techniques and blend modes, including all the settings, to compute a visualization for archaeological topography that meets all of the criteria of a good visualization.