Information Visualization最新文献_第6页

Visualizing the invisible: User-centered design of a system for the visualization of flows and concentrations of particles in the air 可视化看不见的:以用户为中心的系统设计，用于可视化空气中颗粒的流动和浓度

IF 2.3 4区计算机科学

Information Visualization Pub Date : 2022-04-21 DOI: 10.1177/14738716221085965

O. Christmann, Sylvain Fleury, J. Migaud, Vincent Raimbault, Benjamin Poussard, Thibaut Guitter, G. Gorisse, S. Richir

{"title":"Visualizing the invisible: User-centered design of a system for the visualization of flows and concentrations of particles in the air","authors":"O. Christmann, Sylvain Fleury, J. Migaud, Vincent Raimbault, Benjamin Poussard, Thibaut Guitter, G. Gorisse, S. Richir","doi":"10.1177/14738716221085965","DOIUrl":"https://doi.org/10.1177/14738716221085965","url":null,"abstract":"This study presents two experiments addressing the representation of scientific data, in particular airflows, with a user-centered design approach. Our objective is to provide users feedback to data visualization designers to help them choose an air flow representation that is understandable and attractive for non-experts. The first study focuses on static markers allowing to visualize an airflow, with information characterizing the direction and the intensity. In a second study, carried out in an immersive virtual environment, two information were added, the temporal evolution and the concentration of pollutants in the air. To measure comprehension and attractiveness, participants were asked to answer items on Likert scales (experiment 1) and to answer User Experience Questionnaire (experiment 2). The results revealed that arrows seem to be a very common and understandable form to represent orientation and direction of flow, but that they should be improved to be more attractive by making them brighter and more transparent, as the representation could occlude the scene, especially in virtual reality. To solve this problem, we suggest giving the users the ability to define the specific area where they want to see the air flow, using a cross-sectional view. Vector fields and streamlines could therefore be applied in a virtual reality context.","PeriodicalId":50360,"journal":{"name":"Information Visualization","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2022-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48560755","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Which emphasis technique to use? Perception of emphasis techniques with varying distractors, backgrounds, and visualization types. 使用哪种强调技巧?对不同干扰物、背景和可视化类型的强调技巧的感知。

IF 2.3 4区计算机科学

Information Visualization Pub Date : 2022-04-01 Epub Date: 2021-09-22 DOI: 10.1177/14738716211045354

Aristides Mairena, Carl Gutwin, Andy Cockburn

{"title":"Which emphasis technique to use? Perception of emphasis techniques with varying distractors, backgrounds, and visualization types.","authors":"Aristides Mairena, Carl Gutwin, Andy Cockburn","doi":"10.1177/14738716211045354","DOIUrl":"https://doi.org/10.1177/14738716211045354","url":null,"abstract":"<p><p>Emphasis effects are visual changes that make data elements distinct from their surroundings. Designers may use computational saliency models to predict how a viewer's attention will be guided by a specific effect; however, although saliency models provide a foundational understanding of emphasis perception, they only cover specific visual effects in abstract conditions. To address these limitations, we carried out crowdsourced studies that evaluate emphasis perception in a wider range of conditions than previously studied. We varied effect magnitude, distractor number and type, background, and visualization type, and measured the perceived emphasis of 12 visual effects. Our results show that there are perceptual commonalities of emphasis across a wide range of environments, but also that there are limitations on perceptibility for some effects, dependent on a visualization's background or type. We developed a model of emphasis predictability based on simple scatterplots that can be extended to other viewing conditions. Our studies provide designers with new understanding of how viewers experience emphasis in realistic visualization settings.</p>","PeriodicalId":50360,"journal":{"name":"Information Visualization","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2022-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8841630/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"39630510","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 4

Interactive visualization literacy: The state-of-the-art 交互式可视化素养:最先进的

IF 2.3 4区计算机科学

Information Visualization Pub Date : 2022-03-10 DOI: 10.1177/14738716221081831

Elif E. Firat, Alark Joshi, R. Laramee

{"title":"Interactive visualization literacy: The state-of-the-art","authors":"Elif E. Firat, Alark Joshi, R. Laramee","doi":"10.1177/14738716221081831","DOIUrl":"https://doi.org/10.1177/14738716221081831","url":null,"abstract":"With the advent of novel visualization techniques to convey complex information, data visualization literacy is growing in importance. Two facets of literacy are user understanding and the discovery of visual patterns with the help of graphical representations. The research literature on visualization literacy provides useful guidance and important opportunities for further studies in this field. This survey examines and classifies prior research on visualization literacy that analyzes how well users understand novel data representations. To our knowledge, this is the first comprehensive survey paper with a focus on interactive visualization literacy. We categorize existing relevant research into unique subject groups that facilitate and inform comparisons of related literature and provide an overview of the same. Additionally, the survey/classification also provides an overview of the various evaluation techniques used in this field of research due to their challenging nature. Our novel classification enables researchers to find both mature and unexplored directions that may lead to future work. This survey serves as a valuable resource for both beginners and experienced researchers interested in the topic of visualization literacy.","PeriodicalId":50360,"journal":{"name":"Information Visualization","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2022-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42974031","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 18

Integrating annotations into multidimensional visual dashboards 将注释集成到多维可视化仪表板中

IF 2.3 4区计算机科学

Information Visualization Pub Date : 2022-03-07 DOI: 10.1177/14738716221079591

Sriram Karthik Badam, Senthil K. Chandrasegaran, N. Elmqvist

引用次数: 2

A comparative analysis of matrix reordering algorithms regarding canonical data patterns 基于规范数据模式的矩阵重排序算法的比较分析

IF 2.3 4区计算机科学

Information Visualization Pub Date : 2022-01-01 DOI: 10.1177/14738716221091487

M. Baroni, C. G. Silva

引用次数: 0

HFTViz: Visualization for the exploration of high frequency trading data HFTViz:用于探索高频交易数据的可视化

IF 2.3 4区计算机科学

Information Visualization Pub Date : 2021-12-29 DOI: 10.1177/14738716211064921

Javad Yaali, Vincent Grégoire, Thomas Hurtut

{"title":"HFTViz: Visualization for the exploration of high frequency trading data","authors":"Javad Yaali, Vincent Grégoire, Thomas Hurtut","doi":"10.1177/14738716211064921","DOIUrl":"https://doi.org/10.1177/14738716211064921","url":null,"abstract":"High Frequency Trading (HFT), mainly based on high speed infrastructure, is a significant element of the trading industry. However, trading machines generate enormous quantities of trading messages that are difficult to explore for financial researchers and traders. Visualization tools of financial data usually focus on portfolio management and the analysis of the relationships between risk and return. Beside risk-return relationship, there are other aspects that attract financial researchers like liquidity and moments of flash crashes in the market. HFT researchers can extract these aspects from HFT data since it shows every detail of the market movement. In this paper, we present HFTViz, a visualization tool designed to help financial researchers explore the HFT dataset provided by NASDAQ exchange. HFTViz provides a comprehensive dashboard aimed at facilitate HFT data exploration. HFTViz contains two sections. It first proposes an overview of the market on a specific date. After selecting desired stocks from overview visualization to investigate in detail, HFTViz also provides a detailed view of the trading messages, the trading volumes and the liquidity measures. In a case study gathering five domain experts, we illustrate the usefulness of HFTViz.","PeriodicalId":50360,"journal":{"name":"Information Visualization","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2021-12-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42067256","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Design guidelines for narrative maps in sensemaking tasks 在意义生成任务中叙述地图的设计准则

IF 2.3 4区计算机科学

Information Visualization Pub Date : 2021-12-22 DOI: 10.1177/14738716221079593

Brian Felipe Keith Norambuena, Tanushree Mitra, Chris North

{"title":"Design guidelines for narrative maps in sensemaking tasks","authors":"Brian Felipe Keith Norambuena, Tanushree Mitra, Chris North","doi":"10.1177/14738716221079593","DOIUrl":"https://doi.org/10.1177/14738716221079593","url":null,"abstract":"Narrative sensemaking is a fundamental process to understand sequential information. Narrative maps are a visual representation framework that can aid analysts in their narrative sensemaking process. Narrative maps allow analysts to understand the big picture of a narrative, uncover new relationships between events, and model the connection between storylines. We seek to understand how analysts create and use narrative maps in order to obtain design guidelines for an interactive visualization tool for narrative maps that can aid analysts in narrative sensemaking. We perform two experiments with a data set of news articles. The insights extracted from our studies can be used to design narrative maps, extraction algorithms, and visual analytics tools to support the narrative sensemaking process. The contributions of this paper are three-fold: (1) an analysis of how analysts construct narrative maps; (2) a user evaluation of specific narrative map features; and (3) design guidelines for narrative maps. Our findings suggest ways for designing narrative maps and extraction algorithms, as well as providing insights toward useful interactions. We discuss these insights and design guidelines and reflect on the potential challenges involved. As key highlights, we find that narrative maps should avoid redundant connections that can be inferred by using the transitive property of event connections, reducing the overall complexity of the map. Moreover, narrative maps should use multiple types of cognitive connections between events such as topical and causal connections, as this emulates the strategies that analysts use in the narrative sensemaking process.","PeriodicalId":50360,"journal":{"name":"Information Visualization","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2021-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42839522","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

Virtual-Reality graph visualization based on Fruchterman-Reingold using Unity and SteamVR 基于Unity和SteamVR的Fruchterman-Reingold虚拟现实图形可视化

IF 2.3 4区计算机科学

Information Visualization Pub Date : 2021-12-15 DOI: 10.1177/14738716211060306

G. Kortemeyer

引用次数: 5

VisRuler: Visual analytics for extracting decision rules from bagged and boosted decision trees VisRuler：用于从袋装和增强决策树中提取决策规则的可视化分析

IF 2.3 4区计算机科学

Information Visualization Pub Date : 2021-12-01 DOI: 10.1177/14738716221142005

Angelos Chatzimparmpas, R. M. Martins, A. Kerren

{"title":"VisRuler: Visual analytics for extracting decision rules from bagged and boosted decision trees","authors":"Angelos Chatzimparmpas, R. M. Martins, A. Kerren","doi":"10.1177/14738716221142005","DOIUrl":"https://doi.org/10.1177/14738716221142005","url":null,"abstract":"Bagging and boosting are two popular ensemble methods in machine learning (ML) that produce many individual decision trees. Due to the inherent ensemble characteristic of these methods, they typically outperform single decision trees or other ML models in predictive performance. However, numerous decision paths are generated for each decision tree, increasing the overall complexity of the model and hindering its use in domains that require trustworthy and explainable decisions, such as finance, social care, and health care. Thus, the interpretability of bagging and boosting algorithms—such as random forest and adaptive boosting—reduces as the number of decisions rises. In this paper, we propose a visual analytics tool that aims to assist users in extracting decisions from such ML models via a thorough visual inspection workflow that includes selecting a set of robust and diverse models (originating from different ensemble learning algorithms), choosing important features according to their global contribution, and deciding which decisions are essential for global explanation (or locally, for specific cases). The outcome is a final decision based on the class agreement of several models and the explored manual decisions exported by users. We evaluated the applicability and effectiveness of VisRuler via a use case, a usage scenario, and a user study. The evaluation revealed that most users managed to successfully use our system to explore decision rules visually, performing the proposed tasks and answering the given questions in a satisfying way.","PeriodicalId":50360,"journal":{"name":"Information Visualization","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46943349","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

Community Fabric: Visualizing communities and structure in dynamic networks 社区结构:动态网络中可视化社区和结构

IF 2.3 4区计算机科学

Information Visualization Pub Date : 2021-10-29 DOI: 10.1177/14738716211056036

Evan Ezell, Seung-Hwan Lim, D. Anderson, R. Stewart

引用次数: 0