Journal articles: 'Dynamic visualizations'

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Cherukuru, Nihanth W., and Tim Scheitlin. "Visual Comparator: An Interactive Tool for Dynamic Spatiotemporal Comparative Visualizations." Bulletin of the American Meteorological Society 101, no. 10 (October 1, 2020): E1861—E1869. http://dx.doi.org/10.1175/bams-d-19-0266.1.

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AbstractVisualizations enable us to detect patterns, time-evolving features, and trends in complex datasets that might not be obvious by looking at the raw data. The visual exploration process often requires comparisons between multiple visualizations, either from the same dataset or a different one, to identify relationships and patterns. This visualization process, referred to as comparative visualization, is valuable for analyzing multivariate, multispectral, or multidimensional data. The existing tools that facilitate visual comparisons do this by three means: juxtaposition (placing visuals side by side), superposition (overlaying visuals), and explicit encoding (visualizing a derived quantity corresponding to the relationship being studied). While superposition is ideal for static, geospatial datasets, where spatialization is a key component of the data, the spatiotemporal nature of Earth science datasets presents a challenge with comparative visualizations. Visual Comparator is an interactive, cross-platform (desktops, kiosks, and web), open-source application, developed to address this shortcoming. The application is used to superimpose and compare up to three synchronized, animated visualizations, and a transition between the visualizations is provided through a slider-based interface. This form of visualization has the advantage of drawing the viewers’ attention to changes between the datasets, enabling comparisons of scale, and reducing the clutter caused by having multiple variables in one visual. This article provides an overview of the project, a brief review of literature pertaining to human perception research and comparative visualizations, and a guide to accessing this application.

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Chin, George, Mudita Singhal, Grant Nakamura, Vidhya Gurumoorthi, and Natalie Freeman-Cadoret. "Visual Analysis of Dynamic Data Streams." Information Visualization 8, no. 3 (January 25, 2009): 212–29. http://dx.doi.org/10.1057/ivs.2009.18.

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For scientific data visualizations, real-time data streams present many interesting challenges when compared to static data. Real-time data are dynamic, transient, high-volume and temporal. Effective visualizations need to be able to accommodate dynamic data behavior as well as Abstract and present the data in ways that make sense to and are usable by humans. The Visual Content Analysis of Real-Time Data Streams project at the Pacific Northwest National Laboratory is researching and prototyping dynamic visualization techniques and tools to help facilitate human understanding and comprehension of high-volume, real-time data. The general strategy of the project is to develop and evolve visual contexts that will organize and orient high-volume dynamic data in conceptual and perceptive views. The goal is to allow users to quickly grasp dynamic data in forms that are intuitive and natural without requiring intensive training in the use of specific visualization or analysis tools and methods. Thus far, the project has prototyped five different visualization prototypes that represent and convey dynamic data through human-recognizable contexts and paradigms such as hierarchies, relationships, time and geography. We describe the design considerations and unique features of these dynamic visualization prototypes as well as our findings in the exploration and evaluation of their use.

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Vanden Hautte, Sander, Pieter Moens, Joachim Van Herwegen, Dieter De Paepe, Bram Steenwinckel, Stijn Verstichel, Femke Ongenae, and Sofie Van Hoecke. "A Dynamic Dashboarding Application for Fleet Monitoring Using Semantic Web of Things Technologies." Sensors 20, no. 4 (February 20, 2020): 1152. http://dx.doi.org/10.3390/s20041152.

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In industry, dashboards are often used to monitor fleets of assets, such as trains, machines or buildings. In such industrial fleets, the vast amount of sensors evolves continuously, new sensor data exchange protocols and data formats are introduced, new visualization types may need to be introduced and existing dashboard visualizations may need to be updated in terms of displayed sensors. These requirements motivate the development of dynamic dashboarding applications. These, as opposed to fixed-structure dashboard applications, allow users to create visualizations at will and do not have hard-coded sensor bindings. The state-of-the-art in dynamic dashboarding does not cope well with the frequent additions and removals of sensors that must be monitored—these changes must still be configured in the implementation or at runtime by a user. Also, the user is presented with an overload of sensors, aggregations and visualizations to select from, which may sometimes even lead to the creation of dashboard widgets that do not make sense. In this paper, we present a dynamic dashboard that overcomes these problems. Sensors, visualizations and aggregations can be discovered automatically, since they are provided as RESTful Web Things on a Web Thing Model compliant gateway. The gateway also provides semantic annotations of the Web Things, describing what their abilities are. A semantic reasoner can derive visualization suggestions, given the Thing annotations, logic rules and a custom dashboard ontology. The resulting dashboarding application automatically presents the available sensors, visualizations and aggregations that can be used, without requiring sensor configuration, and assists the user in building dashboards that make sense. This way, the user can concentrate on interpreting the sensor data and detecting and solving operational problems early.

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Hilpert, Martin. "Dynamic visualizations of language change." International Journal of Corpus Linguistics 16, no. 4 (December 21, 2011): 435–61. http://dx.doi.org/10.1075/ijcl.16.4.01hil.

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This paper uses diachronic corpus data to visualize language change in a dynamic fashion. Bivariate and multivariate data sets form the input for so-called motion charts, i.e. series of diachronically ordered scatterplots that can be viewed in sequence. Based on data from COHA (Davies 2010), two case studies illustrate recent changes in American English. The first study visualizes change in a diachronic analysis of ambicategorical nouns and verbs such as hope or drink; the second study shows structural change in the behavior of complement-taking predicates such as expect or remember. Whereas motion charts are typically used to represent bivariate data sets, it is argued here that they are also useful for the analysis of multivariate data over time. The present paper submits multivariate diachronic data to a multi-dimensional scaling analysis. Viewing the resulting data points in separate time slices offers a holistic and intuitive representation of complex linguistic change.

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Embse, Charles Vonder. "Dynamic Visualizations of Calculus Ideas." Mathematics Teacher 94, no. 7 (October 2001): 602–7. http://dx.doi.org/10.5951/mt.94.7.0602.

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Stephens, Sonia. "Communicating evolution with a Dynamic Evolutionary Map." Journal of Science Communication 13, no. 01 (March 13, 2014): A04. http://dx.doi.org/10.22323/2.13010204.

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Metaphors and visualizations are important for science communication, though they may have limitations. This paper describes the development and evaluation of a novel interactive visualization, the "Dynamic Evolutionary Map"' (DEM), which communicates biological evolution using a non-standard metaphor. The DEM uses a map metaphor and interactivity to address conceptual limitations of traditional tree-based evolutionary representations. In a pilot evaluation biology novices used the DEM to answer questions about evolution. The results suggest that this visualization communicates some conceptual affordances differently than trees. Therefore, the described approach of building alternative visual metaphors for challenging concepts appears useful for science communication.

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Witt, Jessica K., Benjamin A. Clegg, Lisa D. Blalock, and Amelia C. Warden. "The Impact of Familiarity on Visualizations of Spatial Uncertainty." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 65, no. 1 (September 2021): 596–600. http://dx.doi.org/10.1177/1071181321651208.

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While visualization can support understanding complex phenomena, their effectiveness might vary with the recipient’s familiarity with both the phenomenon and the visualization. The current study contrasted interpretations of simulated hurricane paths using student populations from a high frequency hurricane area versus no local hurricane risk. Non-expert understanding of trajectory predictions was supported via two visualizations: common cones of uncertainty and novel dynamic ensembles. General patterns of performance were similar across the two groups. Participants from the high hurricane risk area did show narrower decision thresholds, in both common and novel visualization formats. More variability was consistently considered possible when viewing the dynamic ensemble displays. Despite greater likelihood of experiences with variability of trajectories outside of forecast paths, greater familiarity tended towards narrower interpretations of the need for evacuations within the variability possible. The results suggest an advantage of dynamic ensembles in grasping uncertainty even in populations familiar with hurricanes.

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Schmidt-Weigand, Florian. "Does Animation Amplify the Modality Effect – or is there any Modality Effect at All?" Zeitschrift für Pädagogische Psychologie 25, no. 4 (September 2011): 245–56. http://dx.doi.org/10.1024/1010-0652/a000048.

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Abstract.This study aimed to examine if the modality effect is amplified by the matter of animation. Visual dynamics are suspected to increase split attention affordances due to a higher salience and transience compared to static visuals. In two experiments students watched an instruction on the formation of lightning while their eye movements were recorded. Both experiments varied text presentation (spoken, written) and visualization format (dynamic, static) in a 2x2 design. Learning outcomes were measured with verbal retention, visual retention, and transfer tests. Experiment 1 (N = 50) revealed a modality effect (i. e. better performance in spoken text groups) for visual retention but not for verbal retention and transfer. Experiment 2 (N = 60) replicated Experiment 1 with a faster presentation pace, expecting faster presentation to enlarge modality effects. In contrast, Experiment 2 revealed no modality effects in learning outcomes. In both experiments participants spent less time viewing visualizations when text was written. Within written text conditions text was read first and gained more visual attention than visualizations. Viewing time did not significantly vary between dynamic and static visualizations. Thus, animation did neither affect viewing behavior nor learning outcome. Moreover, the lack of effects in a standard manipulation of text modality cast doubts on the reliability of modality effects and, hence, on the validity of a general modality principle.

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Ezell, Evan, Seung-Hwan Lim, David Anderson, and Robert Stewart. "Community Fabric: Visualizing communities and structure in dynamic networks." Information Visualization 21, no. 2 (October 29, 2021): 130–42. http://dx.doi.org/10.1177/14738716211056036.

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We present Community Fabric, a novel visualization technique for simultaneously visualizing communities and structure within dynamic networks. In dynamic networks, the structure of the network is continuously evolving throughout time and these underlying topological shifts tend to lead to communal changes. Community Fabric helps the viewer more easily interpret and understand the interplay of structural change and community evolution in dynamic graphs. To achieve this, we take a new approach, hybridizing two popular network and community visualizations. Community Fabric combines the likes of the Biofabric static network visualization method with traditional community alluvial flow diagrams to visualize communities in a dynamic network while also displaying the underlying network structure. Our approach improves upon existing state-of-the-art techniques in several key areas. We describe the methodologies of Community Fabric, implement the visualization using modern web-based tools, and apply our approach to three example data sets.

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Yang, Hui-Yu. "Effects of Dynamic Visualizations Enriched With Visuospatial Cues on Learners' Cognitive Load and Learning Effectiveness." International Journal of Mobile and Blended Learning 14, no. 1 (January 2022): 1–16. http://dx.doi.org/10.4018/ijmbl.297973.

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The present study was to explore whether dynamic visualizations enriched with visuospatial cues can optimize learners’ cognitive processing of mechanical systems. The animated conditions and cueing patterns were the independent variables with an attempt to investigate their impacts on retention and transfer tests. Either dynamic or static visualizations with the presence of visuospatial cues served as the instructional material. 238 English as a foreign language (EFL) learners participated in the experiment. The learners were distributed to six groups—either dynamic or static visualizations enriched with non-cue, entity-cues and arrow-entity cues. Their prior knowledge was initially assessed, and then followed by retention and transfer tests and cognitive load measurements. The experimental results suggested that dynamic visualizations enriched with progressive visuospatial cues was more beneficial in helping learners to develop favorable quality of mental models.

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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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Sudatha, I. Gde Wawan, I. Nyoman Sudana Degeng, and Waras Kamdi. "THE EFFECT OF VISUALIZATION TYPE AND STUDENT SPATIAL ABILITIES ON LEARNING ACHIEVEMENT." Journal of Baltic Science Education 17, no. 4 (August 20, 2018): 551–63. http://dx.doi.org/10.33225/jbse/18.17.551.

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Students’ spatial ability plays an important role in instruction with dynamic and static visualizations. This research was aimed at describing 1) the difference in learning achievement between the students who learned from dynamic visualization and static visualization, 2) the difference in learning achievement among students who have high spatial ability and those who have low spatial ability, and 3) the interaction between type of visualization and spatial ability on learning achievement. This research used the non-equivalent control group quasi-experimental design. The sample consisted of 115 eighth grade students in Singaraja, Indonesia. The data were collected by learning achievement test and Paper Folding Test. The data were analyzed using ANCOVA. The results showed that:1) there was a significant difference in learning achievement between the students who learned from dynamic visualization and static visualization; 2) there was a significant difference in learning achievement between the students who have high spatial ability and those who have low spatial ability, and 3) there was no interaction between visualization type and spatial ability on learning achievement. Therefore, the different combination of the types of visualization and sequence of presentation and relation with individual characteristic can be elaborated more in the further research. Keywords: dynamic visualization, learning achievement, science instruction, spatial ability, static visualization.

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Rekik, Ghazi, Yosra Belkhir, Mohamed Jarraya, Mohamed Amine Bouzid, Yung-Sheng Chen, and Cheng-Deng Kuo. "Uncovering the Role of Different Instructional Designs When Learning Tactical Scenes of Play through Dynamic Visualizations: A Systematic Review." International Journal of Environmental Research and Public Health 18, no. 1 (December 31, 2020): 256. http://dx.doi.org/10.3390/ijerph18010256.

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Dynamic visualizations such as videos or animations have been developed to exchange information that transforms over time across a broad range of professional/academic contexts. However, such visual tools may impose substantial demands on the learner’s cognitive resources that are very limited in current knowledge. Cognitive load theory has been used to improve learning from dynamic visualizations by providing different instructional designs to manage learner cognitive load. This paper reviews a series of experimental studies assessing the effects of certain instructional designs on learning of tactical scenes of play through dynamic visualizations. An electronic database search was performed on the Web of Science and PubMed/Medline databases from inception to July 2020 using a combination of relevant keywords. Manual searches were also made. The search was limited to English language. A total of 515 records were screened by two researchers using the Population/Intervention/Comparison/Outcome(s) (PICO) criteria. The quality and validity of the included studies were assessed using “QualSyst”. Learning indicators in students and/or players (male and female) at any age category and competitive level were considered. Eleven studies met the inclusion criteria for this review, which focused on the effects of four instructional designs (i.e., using static visualizations, employing sequential presentation, applying segmentation, and decreasing presentation speed) on learning various game systems through dynamic visualizations. These studies indicate that (i) the effectiveness of all instructional designs depend upon the level of learners’ expertise when learning soccer/Australian football scenes through animations/videos, (ii) the effectiveness of using static visualizations instead of animations/videos showing soccer/basketball scenes depend upon the type of the depicted knowledge (i.e., motor knowledge or descriptive knowledge) for novice learners, (iii) the effectiveness of employing static visualizations and decreasing presentation speed when learning soccer/basketball scenes from animations/videos depend upon the level of content complexity, for novice learners. The current review demonstrated important practical implications for both coaches and physical education teachers using either animations and/or videos to communicate game systems. Indeed, findings suggested that adapting instructional designs to the level of learners’ expertise, type of depicted knowledge, and level of content complexity is a crucial part of effective tactical learning from dynamic visualizations.

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Waldner, Manuela, Mathieu Le Muzic, Matthias Bernhard, Werner Purgathofer, and Ivan Viola. "Attractive Flicker — Guiding Attention in Dynamic Narrative Visualizations." IEEE Transactions on Visualization and Computer Graphics 20, no. 12 (December 31, 2014): 2456–65. http://dx.doi.org/10.1109/tvcg.2014.2346352.

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Mote, Kevin. "Fast Point-Feature Label Placement for Dynamic Visualizations." Information Visualization 6, no. 4 (December 2007): 249–60. http://dx.doi.org/10.1057/palgrave.ivs.9500163.

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This paper describes a fast approach to automatic point label de-confliction on interactive maps. The general Map Labeling problem is NP-hard and has been the subject of much study for decades. Computerized maps have introduced interactive zooming and panning, which has intensified the problem. Providing dynamic labels for such maps typically requires a time-consuming pre-processing phase. In the realm of visual analytics, however, the labeling of interactive maps is further complicated by the use of massive datasets laid out in arbitrary configurations, thus rendering reliance on a pre-processing phase untenable. This paper offers a method for labeling point-features on dynamic maps in real time without pre-processing. The algorithm presented is efficient, scalable, and exceptionally fast; it can label interactive charts and diagrams at speeds of multiple frames per second on maps with tens of thousands of nodes. To accomplish this, the algorithm employs a novel geometric de-confliction approach, the ‘trellis strategy,’ along with a unique label candidate cost analysis to determine the “least expensive” label configuration. The speed and scalability of this approach make it well-suited for visual analytic applications.

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Mote, Kevin. "Fast Point-Feature Label Placement for Dynamic Visualizations." Information Visualization 7, no. 1 (January 21, 2008): 104. http://dx.doi.org/10.1057/palgrave.ivs.9500176.

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Waldin, N., M. Waldner, M. Le Muzic, E. Gröller, D. S. Goodsell, L. Autin, A. J. Olson, and I. Viola. "Cuttlefish: Color Mapping for Dynamic Multi‐Scale Visualizations." Computer Graphics Forum 38, no. 6 (March 26, 2019): 150–64. http://dx.doi.org/10.1111/cgf.13611.

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Zhang, Zhihui Helen, and Marcia C. Linn. "Can generating representations enhance learning with dynamic visualizations?" Journal of Research in Science Teaching 48, no. 10 (October 24, 2011): 1177–98. http://dx.doi.org/10.1002/tea.20443.

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Rekik, Ghazi, Yosra Belkhir, Nourhen Mezghanni, Mohamed Jarraya, Yung-Sheng Chen, and Cheng-Deng Kuo. "Learning Basketball Tactical Actions from Video Modeling and Static Pictures: When Gender Matters." Children 8, no. 11 (November 17, 2021): 1060. http://dx.doi.org/10.3390/children8111060.

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Recent studies within the physical education domain have shown the superiority of dynamic visualizations over their static counterparts in learning different motor skills. However, the gender difference in learning from these two visual presentations has not yet been elucidated. Thus, this study aimed to explore the gender difference in learning basketball tactical actions from video modeling and static pictures. Eighty secondary school students (Mage = 15.28, SD = 0.49) were quasi-randomly (i.e., matched for gender) assigned to a dynamic condition (20 males, 20 females) and a static condition (20 males, 20 females). Immediately after watching either a static or dynamic presentation of the playing system (learning phase), participants were asked to rate their mental effort invested in learning, perform a game performance test, and complete the card rotations test (test phase). The results indicated that spatial ability (evaluated via the card rotations test) was higher in males than in female students (p < 0.0005). Additionally, an interaction of gender and type of visualization were identified, supporting the ability-as-compensator hypothesis: female students benefited particularly from video modeling (p < 0.0005, ES = 3.12), while male students did not (p > 0.05, ES = 0.36). These findings suggested that a consideration of a learner’s gender is crucial to further boost learning of basketball tactical actions from dynamic and static visualizations.

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Hegarty, Mary. "Dynamic visualizations and learning: getting to the difficult questions." Learning and Instruction 14, no. 3 (June 2004): 343–51. http://dx.doi.org/10.1016/j.learninstruc.2004.06.007.

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Scheiter, Katharina, Peter Gerjets, Thomas Huk, Birgit Imhof, and Yvonne Kammerer. "The effects of realism in learning with dynamic visualizations." Learning and Instruction 19, no. 6 (December 2009): 481–94. http://dx.doi.org/10.1016/j.learninstruc.2008.08.001.

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Bisantz, Ann M., Dapeng Cao, Michael Jenkins, Priyadarshini R. Pennathur, Michael Farry, Emilie Roth, Scott S. Potter, and Jonathan Pfautz. "Comparing Uncertainty Visualizations for a Dynamic Decision-Making Task." Journal of Cognitive Engineering and Decision Making 5, no. 3 (August 10, 2011): 277–93. http://dx.doi.org/10.1177/1555343411415793.

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Han, Rey, Knaap, Kang, and Wolf. "Adaptive Choropleth Mapper: An Open-Source Web-Based Tool for Synchronous Exploration of Multiple Variables at Multiple Spatial Extents." ISPRS International Journal of Geo-Information 8, no. 11 (November 11, 2019): 509. http://dx.doi.org/10.3390/ijgi8110509.

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Choropleth mapping is an essential visualization technique for exploratory spatial data analysis. Visualizing multiple choropleth maps is a technique that spatial analysts use to reveal spatiotemporal patterns of one variable or to compare the geographical distributions of multiple variables. Critical features for effective exploration of multiple choropleth maps are (1) automated computation of the same class intervals for shading different choropleth maps, (2) dynamic visualization of local variation in a variable, and (3) linking for synchronous exploration of multiple choropleth maps. Since the 1990s, these features have been developed and are now included in many commercial geographic information system (GIS) software packages. However, many choropleth mapping tools include only one or two of the three features described above. On the other hand, freely available mapping tools that support side-by-side multiple choropleth map visualizations are usually desktop software only. As a result, most existing tools supporting multiple choropleth-map visualizations cannot be easily integrated with Web-based and open-source data visualization libraries, which have become mainstream in visual analytics and geovisualization. To fill this gap, we introduce an open-source Web-based choropleth mapping tool called the Adaptive Choropleth Mapper (ACM), which combines the three critical features for flexible choropleth mapping.

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ZHAO, KUN, SATOSHI NAKADA, NAOHISA SAKAMOTO, KOJI KOYAMADA, CHANDRAJIT BAJAJ, YOICHI ISHIKAWA, TOSHIYUKI AWAJI, TEIJI IN, and SEI-ICHI SAITOH. "A VASUALIZATION FOR THE DYNAMIC BEHAVIORS OF THE MIXTURE OF WATER MASS FOR NORTHWESTERN PACIFIC NEAR JAPAN." International Journal of Modeling, Simulation, and Scientific Computing 04, supp01 (August 2013): 1341002. http://dx.doi.org/10.1142/s179396231341002x.

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Recent studies are focusing on the distribution of water mass because the mixture region of water mass is highly related to the rich fishing grounds [Yasuda I., Watanabe Y., Fish. Oceanogr.3(3):172–181, 1994]. Due to the large data size and time-varying property, efficient exploration and visualization of the ocean data is always extremely challenging. To extract the dynamic behaviors of the water mass and its mixture from a large-scale simulated ocean dataset, we developed an efficient visualization system by applying our volume compression method and our volume rendering method. This system allows us to investigate the time-varying distributions of ocean physical properties, additionally from the user's perspective and requirements. In the experiments, we show the generality and expressiveness by applying our system for single- and multi-property visualizations to find some significant ocean water mass. Consequently, we could obtain a clear visualization result to show the dynamic behaviors of the mixture of water mass for simulation data regarding a location in the northwestern Pacific near Japan.

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De Pauw, Wim, and Henrique Andrade. "Visualizing Large-Scale Streaming Applications." Information Visualization 8, no. 2 (January 22, 2009): 87–106. http://dx.doi.org/10.1057/ivs.2009.5.

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Stream processing is a new and important computing paradigm. Innovative streaming applications are being developed in areas ranging from scientific applications (for example, environment monitoring), to business intelligence (for example, fraud detection and trend analysis), to financial markets (for example, algorithmic trading systems). In this paper we describe Streamsight, a new visualization tool built to examine, monitor and help understand the dynamic behavior of streaming applications. Streamsight can handle the complex, distributed and large-scale nature of stream processing applications by using hierarchical graphs, multi-perspective visualizations, and de-cluttering strategies. To address the dynamic and adaptive nature of these applications, Streamsight also provides real-time visualization as well as the capability to record and replay. All these features are used for debugging, for performance optimization, and for management of resources, including capacity planning. More than 100 developers, both inside and outside IBM, have been using Streamsight to help design and implement large-scale stream processing applications.

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van Gorcum, M., S. Karpitschka, B. Andreotti, and J. H. Snoeijer. "Spreading on viscoelastic solids: are contact angles selected by Neumann's law?" Soft Matter 16, no. 5 (2020): 1306–22. http://dx.doi.org/10.1039/c9sm01453e.

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Kamat, Vineet R., and Julio C. Martinez. "Large-Scale Dynamic Terrain in Three-Dimensional Construction Process Visualizations." Journal of Computing in Civil Engineering 19, no. 2 (April 2005): 160–71. http://dx.doi.org/10.1061/(asce)0887-3801(2005)19:2(160).

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de Koning, Björn B., and Huib K. Tabbers. "Facilitating Understanding of Movements in Dynamic Visualizations: an Embodied Perspective." Educational Psychology Review 23, no. 4 (July 26, 2011): 501–21. http://dx.doi.org/10.1007/s10648-011-9173-8.

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Cross, James H., T. Dean Hendrix, and Larry A. Barowski. "Integrating Multiple Approaches for Interacting with Dynamic Data Structure Visualizations." Electronic Notes in Theoretical Computer Science 224 (January 2009): 141–49. http://dx.doi.org/10.1016/j.entcs.2008.12.058.

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Chang, Hsin-Yi. "Teacher guidance to mediate student inquiry through interactive dynamic visualizations." Instructional Science 41, no. 5 (November 16, 2012): 895–920. http://dx.doi.org/10.1007/s11251-012-9257-y.

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Ryoo, Kihyun, and Marcia C. Linn. "Designing guidance for interpreting dynamic visualizations: Generating versus reading explanations." Journal of Research in Science Teaching 51, no. 2 (December 11, 2013): 147–74. http://dx.doi.org/10.1002/tea.21128.

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Huang, Yi, Lian Xiao, Tingting An, Wenxiang Lim, Teckneng Wong, and Handong Sun. "Fast Dynamic Visualizations in Microfluidics Enabled by Fluorescent Carbon Nanodots." Small 13, no. 34 (July 11, 2017): 1700869. http://dx.doi.org/10.1002/smll.201700869.

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Greussing, Esther, Sabrina Heike Kessler, and Hajo G. Boomgaarden. "Learning From Science News via Interactive and Animated Data Visualizations: An Investigation Combining Eye Tracking, Online Survey, and Cued Retrospective Reporting." Science Communication 42, no. 6 (October 13, 2020): 803–28. http://dx.doi.org/10.1177/1075547020962100.

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Relying on a multimethod approach with eye tracking, cued retrospective reporting, and a memory test, this experimental study ( N = 45) shows how individuals engage with static, interactive, and interactive-animated data visualizations embedded in online science news. The results suggest that interactivity and animation engage participants most strongly: The second part of the news article is fixated the longest by participants exposed to the interactive-animated visualization, which translates into higher learning outcomes. However, the dynamic process of news reception requires a nuanced understanding of how users attend to visual and textual parts of a message to make informed statements about their effectiveness.

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Alpigini, James J. "Dynamical System Visualization and Analysis Via Performance Maps." Information Visualization 3, no. 4 (November 11, 2004): 271–87. http://dx.doi.org/10.1057/palgrave.ivs.9500082.

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Visualization techniques are common in the study of chaotic motion. These techniques range from simple time graphs and phase portraits to robust Julia sets, which are familiar to many as ‘fractal images.’ The utility of the Julia sets rests not in their considerable visual impact, but rather, in the color-coded information that they display about the dynamics of an iterated function. In this paper, a paradigm termed the performance map is presented, which is derived from the familiar Julia set. Performance maps are generated automatically for control or other dynamical system models over ranges of system parameters. The resulting visualizations require a minimum of a priori knowledge of the system under evaluation. By the use of color-coding, these images convey a wealth of information to the informed user about dynamic behaviors of a system that may be hidden from all but the expert analyst.

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Vera-Piazzini, Ofelia, Massimiliano Scarpa, and Fabio Peron. "Building Energy Simulation and Monitoring: A Review of Graphical Data Representation." Energies 16, no. 1 (December 29, 2022): 390. http://dx.doi.org/10.3390/en16010390.

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Data visualization has become relevant in the framework of the evolution of big data analysis. Being able to understand data collected in a dynamic, interactive, and personalized way allows for better decisions to be made when optimizing and improving performance. Although its importance is known, there is a gap in the research regarding its design, choice criteria, and uses in the field of building energy consumption. Therefore, this review discusses the state-of-the-art of visualization techniques used in the field of energy performance, in particular by considering two types of building analysis: simulation and monitoring. Likewise, data visualizations are categorized according to goals, level of detail and target users. Visualization tools published in the scientific literature, as well as those currently used in the IoT platforms and visualization software, were analyzed. This overview can be used as a starting point when choosing the most efficient data visualization for a specific type of building energy analysis.

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Ltifi, Hela, Saber Amri, and Mounir Ben Ayed. "Fuzzy logic–based evaluation of visualizations generated by intelligent decision support systems." Information Visualization 17, no. 1 (November 7, 2016): 3–21. http://dx.doi.org/10.1177/1473871616674046.

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The development of intelligent decision support systems requires much research effort to solve decision-making problems’ complexity. In fact, the combination of both intelligent components and visualization aspects in intelligent decision support system required a lot of efforts in order to develop advanced information visualization schemes for decision-making processes. For this, an efficient evaluation of these systems has become a major concern for applications in multiple fields. The reports of the existing usability evaluation studies are helpful to verify the potential and the limitations of these tools. However, it is important to integrate more relevant metrics for visual analytics tasks in dynamic intelligent decision support system. The proposed method consists of a questionnaire that is given to the users and a subsequent analysis of the resulting data using fuzzy logic. The advantage of the fuzzy model is its ability to transform the input survey scores into linguistic variables, as well as linguistic evaluation of the overall intelligent decision support system visualization tool. With this approach, it is possible to model the vagueness in the ordinal judgments obtained from the users’ evaluation about the visualizations of intelligent decision support system and to support uncertainty in such evaluation.

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Förster, Nick, Ivan Bratoev, Jakob Fellner, Gerhard Schubert, and Frank Petzold. "Collaborating with the crowd." International Journal of Architectural Computing 20, no. 1 (March 2022): 76–95. http://dx.doi.org/10.1177/14780771221082258.

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Microscopic agent-based simulations promise the meaningful inclusion of crowd dynamics in planning processes. However, such complex urban issues depend on a multiplicity of criteria. Thus, an isolated model cannot represent the walk of pedestrians meaningfully in planning contexts. This paper reframes crowd simulation as collaborative experimentation and embeds it directly in the design process. Beyond the simulation algorithm, this perspective draws attention to user interactions, interfaces, and visualizations as crucial simulation elements. Through a prototype, we combine an agent-based pedestrian simulation with a hybrid physical–digital interface. Based on this configuration, we explore requirements of the early design stages and accordingly discuss concepts for interaction, simulation, and visualization. The prototype blends user inputs with intuitive design interactions, adapts the simulation process to qualitative and dynamic negotiations, and presents results immediately in the discussed context. Thus, it aligns crowd simulation with contingent collaborations and reveals its potential in the early design stages.

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MARAÑON DI LEO, J., J. S. DELNERO, and S. ALGOZINO. "EXPERIMENTAL DYNAMIC STALL STUDY OF AN AIRFOIL IN TURBULENT FLOW." Latin American Applied Research - An international journal 47, no. 4 (October 31, 2017): 163–68. http://dx.doi.org/10.52292/j.laar.2017.318.

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The objective of this study is to experimentally determine the fluid dynamic configuration of the dynamic stall of an airfoil in turbulent flow. Wind tunnel tests were carried out in order to characterize the airfoils behavior in static and static after a quick change in the angle of attack (“dynamic case”) using flow visualization, loads and hot-wire anemometry measurements at different Reynolds numbers and with one rate of change for the angle of attack. In all the tests, a Worthmann FX 63-137 airfoil model was used. First, with the visualizations made using a paint technique, for the different configurations, some differences in the flow pattern were found and points of interest in the airfoil were chosen. In those points, the sensors for the velocity measurements were placed. With the velocities acquired using a hot-wire system, autocorrelations, turbulence intensities, density power spectrums and wavelet maps were calculated and compared between the static and the dynamic case; different results were found and explained. Additionally, differences were traced in the turbulent intensities in the wake of the airfoil. Furthermore, a wavelets analysis was performed, and the flow scales obtained show differences for the same conditions analyzed before.

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Hwang, Yongsuk, and Donghee Shin. "Visual cues enhance user performance in virtual environments." Social Behavior and Personality: an international journal 46, no. 1 (January 9, 2018): 11–24. http://dx.doi.org/10.2224/sbp.6500.

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We examined the effects of visual cueing in an effort to identify the optimal way to present information in a 3-dimensional (3D) virtual environment. To strategically compensate for the lack of permanency, we combined dynamic and static visualizations into 1 medium by adding transparent static images (visual cueing) to an animation. A between-subjects experiment (N = 100) was conducted to examine the effects of visual cueing on cognitive load and learning outcomes. Results showed that combining dynamic and static visualizations was beneficial for reducing cognitive load, although it did not improve learning outcomes. On the basis of our findings, we suggest a design strategy for improving the effectiveness of 3D instructional animations that is broadly applicable to numerous learning contexts, such as virtual or augmented reality.

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Winters, Kirsten M., Denise Lach, and Judith B. Cushing. "A conceptual model for characterizing the problem domain." Information Visualization 15, no. 4 (July 25, 2016): 301–11. http://dx.doi.org/10.1177/1473871615608902.

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Defining characteristics of a problem domain continues to challenge developers of visualization software although it is essential for designing both tools and resulting visualizations. Additionally, effectiveness of a visualization software tool often depends on the context of systems and actors within the domain problem. The nested blocks and guidelines model is a useful template for informing design and evaluation criteria for visualization software development because it aligns design to need. Characterizing the outermost block of the nested model—the domain problem—is challenging, mainly due to the nature of contemporary domain problems, which are dynamic and by definition difficult to problematize. We offer here our emerging conceptual model, based on the central question in our research study—what visualization works for whom and in which situation—to characterize the outermost block, the domain problem, of the nested model. We apply examples from a 3-year case study of visualization software design and development to demonstrate how the conceptual model might be used to create evaluation criteria affecting design and development of a visualization tool.

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Khacharem, Aïmen, Bachir Zoudji, Slava Kalyuga, and Hubert Ripoll. "The Expertise Reversal Effect for Sequential Presentation in Dynamic Soccer Visualizations." Journal of Sport and Exercise Psychology 35, no. 3 (June 2013): 260–69. http://dx.doi.org/10.1123/jsep.35.3.260.

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Cognitive load perspective was used as a theoretical framework to investigate effects of expertise and type of presentation of interacting elements of information in learning from dynamic visualizations. Soccer players (N = 48) were required to complete a recall reconstruction test and to rate their invested mental effort after studying a concurrent or sequential presentation of the elements of play. The results provided evidence for an expertise reversal effect. For novice players, the sequential presentation produced better learning outcomes. In contrast, expert players performed better after studying the concurrent presentation. The findings suggest that the effectiveness of different visual presentation formats depend on levels of learner expertise.

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Cross, James H., T. Dean Hendrix, David A. Umphress, Larry A. Barowski, Jhilmil Jain, and Lacey N. Montgomery. "Robust Generation of Dynamic Data Structure Visualizations with Multiple Interaction Approaches." ACM Transactions on Computing Education 9, no. 2 (June 2009): 1–32. http://dx.doi.org/10.1145/1538234.1538240.

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Fu, Qiang, Xuchan Fan, Jianghui Sun, Hongwei Tan, Yan Wang, Jin Ouyang, and Na Na. "Visualizations of Mercury Methylation and Dynamic Transformations by In Vivo Imaging." Small 16, no. 33 (July 8, 2020): 2000072. http://dx.doi.org/10.1002/smll.202000072.

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Castro-Alonso, Juan C., Mona Wong, Olusola O. Adesope, Paul Ayres, and Fred Paas. "Gender Imbalance in Instructional Dynamic Versus Static Visualizations: a Meta-analysis." Educational Psychology Review 31, no. 2 (January 21, 2019): 361–87. http://dx.doi.org/10.1007/s10648-019-09469-1.

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Ejaz, Sarwat, Umara Noor, and Zahid Rashid. "Visualizing Interesting Patterns in Cyber Threat Intelligence Using Machine Learning Techniques." Cybernetics and Information Technologies 22, no. 2 (June 1, 2022): 96–113. http://dx.doi.org/10.2478/cait-2022-0019.

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Abstract In an advanced and dynamic cyber threat environment, organizations need to yield more proactive methods to handle their cyber defenses. Cyber threat data known as Cyber Threat Intelligence (CTI) of previous incidents plays an important role by helping security analysts understand recent cyber threats and their mitigations. The mass of CTI is exponentially increasing, most of the content is textual which makes it difficult to analyze. The current CTI visualization tools do not provide effective visualizations. To address this issue, an exploratory data analysis of CTI reports is performed to dig-out and visualize interesting patterns of cyber threats which help security analysts to proactively mitigate vulnerabilities and timely predict cyber threats in their networks.

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Pluhacek, Michal, Roman Senkerik, Adam Viktorin, Tomas Kadavy, and Ivan Zelinka. "Using Complex Network Visualization and Analysis for Uncovering the Inner Dynamics of PSO Algorithm." MENDEL 23, no. 1 (June 1, 2017): 87–94. http://dx.doi.org/10.13164/mendel.2017.1.087.

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In this study, we construct a complex network from the inner dynamic of Particle Swarm Optimization algorithm. The subsequent analysis of the network promises to provide useful information for better understanding the dynamic of the swarm that is not acquirable by other means. We present several network visualizations and numerical analysis. We discuss the observations and propose further directions for the research.

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Witt, Jessica K., Benjamin A. Clegg, Christopher D. Wickens, C. A. P. Smith, Emily L. Laitin, and Amelia C. Warden. "Dynamic Ensembles versus Cones of Uncertainty: Visualizations to Support Understanding of Uncertainty in Hurricane Forecasts." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 64, no. 1 (December 2020): 1644–48. http://dx.doi.org/10.1177/1071181320641399.

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Visualizations attempt to convey the uncertain track of an approaching hurricane. The current experiment contrasted decision characteristics that resulted from observing hurricane paths presented using cones of uncertainty versus a new form of dynamic ensemble. Participants made judgments about whether to evacuate a town at different eccentricities to the central predicted path of a storm. Results showed that dynamic ensembles have different properties to cone displays. Presentations of dynamic ensembles encouraged greater consideration of evacuation at locations further from the most probable path, but that were still at risk. However, dynamic ensembles resulted in lower evacuation rates at the center of the distribution, consistent with a probabilistic sense of the risk but nonetheless a potentially undesirable strategy. In addition, perceptions of the evacuation need with dynamic ensemble presentations were more strongly influenced by the amount of variability than with cones. The implications for use of dynamic ensembles are discussed.

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Guglieri, G., and F. B. Quagliotti. "Experimental investigation of vortex dynamics on a 65° delta wing in sideslip." Aeronautical Journal 101, no. 1003 (March 1997): 111–20. http://dx.doi.org/10.1017/s0001924000066586.

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Abstract The flow structure on the upper side of a delta wing is extremely complex. At moderate angle of attack the flowfield is dominated by organised vortical flow structures emanating from the leading edge. The pressure distribution created on the wing surface by these leading edge vortices causes an increment of lift which may be a relevant percentage of the total wing lift, depending on sweep angle.Delta wing performance is conditioned, however, by a phenomenon known as vortex breakdown or vortex bursting which appears at high angle of attack. This leads to a drastic change in the flowfield which influences the trend of the aerodynamic coefficients.With the aim of giving a contribution to the understanding of the phenomenon of vortex breakdown, a 65° delta wing has been extensively tested in the low speed windtunnel of Politecnico di Torino (TPI) both in static and dynamic conditions, under forced oscillatory motions.Many experiments have been carried out in an effort to understand the factors which can affect the breakdown by varying angle of attack, sideslip angle and Reynolds number.Flow visualizations have been performed using helium bubble tracers. This technique showed a very good capability for visualizing vortical flows and breakdown, both in static and dynamic conditions.For the static case, pressure distributions are presented, correlated to force measurements and flow visualizations, at different angles of attack and sideslip for different flow conditions.For the dynamic case force measurements are shown, compared with flow visualizations, for different angles of attack and for different oscillation frequencies.

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Matseliukh, Yurii, Myroslava Bublyk, and Victoria Vysotska. "Intelligent system of passenger flows dynamic 2D-visualization for public transport routes." Vìsnik Nacìonalʹnogo unìversitetu "Lʹvìvsʹka polìtehnìka". Serìâ Ìnformacìjnì sistemi ta merežì 12 (December 15, 2022): 79–119. http://dx.doi.org/10.23939/sisn2022.12.079.

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In order to increase the attractiveness of public transport for urban residents, a software product has been created for transport companies that, by visualizing passenger traffic, helps to improve the quality of public transport services provided within the city. The paper analyses existing and current scientific developments and literature sources, which show the advantages and disadvantages of a large number of different algorithms and methods, approaches, and methods for solving problems of 2D- visualization of passenger flows on public routes. As a result of the research, stable connections have been established between the factors and criteria involved in assessing the quality of passenger transport services. The system analysis of the designed system is executed, and examples of the structure of an intelligent system of 2D visualization of passenger flows are created. The connections of the system with the essential elements of the external world are analysed. For a visual representation, diagrams of usage variants, classes, sequences, states, and activities are created according to UML notation. Our own unique algorithms have been created for displaying visualizations in two different modes: schematic and “on the map”. In the “on the map” mode, a method of calculating data on the movement of transport units on the route was successfully applied for 2D visualization on the screen, taking into account the absolute values of geographical coordinates in the world. This avoids unnecessary errors and inaccuracies in the calculations. An artificial neural network has been developed that operates using the RMSprop learning algorithm. The artificial neural network predicts how the values of passenger traffic will change when adjusting the schedule of the transport unit on the route. The obtained results make it possible to form and substantiate the expediency of changing the schedule of the vehicle running on the route in order to make more efficient use of races during peak times.

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Pfannkuch, Maxine, and Stephanie Budgett. "Markov Processes: Exploring the Use of Dynamic Visualizations to Enhance Student Understanding." Journal of Statistics Education 24, no. 2 (May 3, 2016): 63–73. http://dx.doi.org/10.1080/10691898.2016.1207404.

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Journal articles on the topic 'Dynamic visualizations'

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