D. Santos, Anderson Marques, R. Lima, Elvis Thermo Carvalho Miranda, Carlos G. R. Santos, B. Meiguins
{"title":"Analyzing the Effect of Different Partial Overlap Sizes in Perceiving Visual Variables","authors":"D. Santos, Anderson Marques, R. Lima, Elvis Thermo Carvalho Miranda, Carlos G. R. Santos, B. Meiguins","doi":"10.1109/IV.2019.00016","DOIUrl":"https://doi.org/10.1109/IV.2019.00016","url":null,"abstract":"Element overlap in visualization techniques is a known problem, and high amounts of data and lack of available visual space potentialize this issue. Many studies have applied techniques to reduce occlusion levels in data visualizations, such as random jitter, element transparency, layout rearrangement, and focus+context techniques. However, few studies focus on the presence of occlusion, which is a relevant topic for visualizations where some degree of overlap is inevitable or purposefully explored. This paper takes a step in this direction, and presents a comparative study of visual variables, measuring their robustness to overlap and number of unique values. The study used a grid layout to display visual variables (hue, saturation, shape, text, orientation, and texture), and varied percentage of occlusion (0%, 50%, 60%, and 70%) and number of unique values (3, 4, and 5) to measure the effect they cause on the speed and accuracy to locate the visual variables. Hence, 48 volunteers performed locate tasks on a tool that automatically generate a grid of visual variables and collect their answers. The results revealed that hue and shape were robust to high occlusion levels and a high number of unique values. Text and texture had medium loss of performance, while saturation and orientation were the most negatively affected.","PeriodicalId":429883,"journal":{"name":"2019 23rd International Conference Information Visualisation (IV)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124981636","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
M. Yano, T. Itoh, Yuusuke Tanaka, D. Matsuoka, Fumiaki Araki, Tobias Czauderna, Kingsley Stephens
{"title":"Viewpoint Selection for Shape Comparison of Mode Water Regions in a VR Space","authors":"M. Yano, T. Itoh, Yuusuke Tanaka, D. Matsuoka, Fumiaki Araki, Tobias Czauderna, Kingsley Stephens","doi":"10.1109/IV.2019.00027","DOIUrl":"https://doi.org/10.1109/IV.2019.00027","url":null,"abstract":"Virtual Reality (VR) provides immersive environments where users watch objects and scenes as if they were in front of users. This is a significant advantage while applying to 3D visualization systems. However, it is often difficult for novice users to make the best use of VR to reproduce the objects and scenes precisely and the comprehensively depending on the skills of users and the complexity of objects and scenes. One of the problems is that the allowed operations in VR are too flexible. Here, we propose a viewpoint selection method that allows every user to watch the objects and scenes easily and carefully in a VR space. The viewpoint is not fixed but can be shifted to the most favorable position according to the demand of users. Regarding the selected viewpoint as the initial position, users can easily go towards the target part with fewer movements. This system helps users to understand the complex objects in the VR space precisely with less time. We demonstrate our system on the observation of mode water pairs and discuss the comparative visualization results.","PeriodicalId":429883,"journal":{"name":"2019 23rd International Conference Information Visualisation (IV)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130610518","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"3D Visualization of Network Including Nodes with Labels","authors":"Hinako Sassa, T. Itoh, Mitsuo Yoshida","doi":"10.1109/IV.2019.00013","DOIUrl":"https://doi.org/10.1109/IV.2019.00013","url":null,"abstract":"Visual cluttering is still a severe problem of large-scale network visualization techniques, and therefore many improvements on network visualization have been presented. Meanwhile, many network datasets in our daily life contain label information. We are developing a network visualization technique which overlays a node-link diagram for visualizing the connectivity and a set visualization for representing the label information. Our technique firstly places a set of nodes in an input dataset into a 3D space and provides an interactive mechanism to manipulate viewpoints in the 3D space. The technique then projects the nodes onto a 2D plane and generates a Delaunay triangular mesh connecting the nodes which have the user-specified label on the 2D plane. Finally, it displays the outer boundary of the triangular mesh to represent the region enclosing the nodes which have the label. In addition, supposing that multiple weighted labels can be assigned to the same node, our implementation draws nodes like pie charts to clearly represent the weights of labels assigned to the nodes. This paper shows examples of the visualization applying a co-authorship network dataset.","PeriodicalId":429883,"journal":{"name":"2019 23rd International Conference Information Visualisation (IV)","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131610904","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Towards a Semiotics of Data Visualization – an Inventory of Graphic Resources","authors":"Wibke Weber","doi":"10.1109/IV.2019.00061","DOIUrl":"https://doi.org/10.1109/IV.2019.00061","url":null,"abstract":"This paper outlines a framework for the analysis of data visualizations. Investigating the semiotic potentials of data visualizations means that we first have to inventorize what is within them. Using a social semiotic approach, the paper collates the graphic resources and modes deployed in data visualizations, their affordances and communicative tasks. The framework combines theoretical considerations and empirical research. It is based on both a thorough literature review of relevant publications in the field of data visualization and visual communication and an analysis of a corpus of data visualizations taken from journalism. The aim of the paper is to link the aesthetic form to its social meaning in a specific context. The framework advances understanding of how semiotic resources shape the meaning of a data visualization.","PeriodicalId":429883,"journal":{"name":"2019 23rd International Conference Information Visualisation (IV)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133876547","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
K. Maruyama, Shigeo Takahashi, Hsiang-Yun Wu, Kazuo Misue, M. Arikawa
{"title":"Scale-Aware Cartographic Displacement Based on Constrained Optimization","authors":"K. Maruyama, Shigeo Takahashi, Hsiang-Yun Wu, Kazuo Misue, M. Arikawa","doi":"10.1109/IV.2019.00022","DOIUrl":"https://doi.org/10.1109/IV.2019.00022","url":null,"abstract":"The consistent arrangement of map features in accordance with the map scale has recently been technically important in digital cartographic generalization. This is primarily due to the recent demand for informative mapping systems, especially for use in smartphones and tablets. However, such sophisticated generalization has usually been conducted manually by expert cartographers and thus results in a time-consuming and error-prone process. In this paper, we focus on the displacement process within cartographic generalization and formulate them as a constrained optimization problem to provide an associated algorithm implementation and its effective solution. We first identify the underlying spatial relationships among map features, such as points and lines, on each map scale as constraints and optimize the cost function that penalizes excessive displacement of the map features in terms of the map scale. Several examples are also provided to demonstrate that the proposed approach allows us to maintain consistent mapping regardless of changes to the map scale.","PeriodicalId":429883,"journal":{"name":"2019 23rd International Conference Information Visualisation (IV)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125549266","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
A. Diallo, G. Camara, Moussa Lo, I. Diagne, J. Lamy
{"title":"Proportional Visualization of Genotypes and Phenotypes with Rainbow Boxes: Methods and Application to Sickle Cell Disease","authors":"A. Diallo, G. Camara, Moussa Lo, I. Diagne, J. Lamy","doi":"10.1109/IV.2019.00010","DOIUrl":"https://doi.org/10.1109/IV.2019.00010","url":null,"abstract":"Visualization tools allow visual and interactive data exploration for facilitating the interpretation of complex data sets. The Center for Research and Ambulatory Care of the Sickle Cell Disease (CERPAD), leading the neonatal screening of sickle cell program in Saint-Louis of Senegal, aims at setting up a long term database on which data analysis and reporting tools are built for epidemiological and socioanthropological studies. In this paper, we propose a tool for the proportional visu- alization of genotypes and phenotypes, using rainbow boxes, a recently introduced set visualization technique. We propose an improvement for rainbow boxes, featuring area-proportional boxes instead of height-proportional boxes. This new approach is integrated in the SIMENS module of the CERPAD for the visualization of sickle cell data proportion according to genotypes and phenotypes, and by ethnic groups. A qualitative evaluation is provided by two domain experts.","PeriodicalId":429883,"journal":{"name":"2019 23rd International Conference Information Visualisation (IV)","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127686970","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Comparison of Visualization Tools for Matches Analysis of a MOBA Game","authors":"A. Afonso, M. B. Carmo, Tiago Moucho","doi":"10.1109/IV.2019.00029","DOIUrl":"https://doi.org/10.1109/IV.2019.00029","url":null,"abstract":"The phenomenon of eSports has been increasing over the years, including the interest in online video games, by players, coaches and analysts. One of the most popular genres of these games is the Multiplayer Online Battle Arena (MOBA) and games like League of Legend (LoL) have increased its player base and event viewership. Similarly to other sports, players and coaches analyze the games and all the games events, such as players’ movements and spatial, temporal events in which they participate, to understand how they play and to define new strategies to help them progress. This paper presents the VisuaLeague II tool that helps players and coaches to analyze LoL game data using animated maps and other visualizations; and presents a comparative study between VisuaLeague II and other two tools (LoL replay system and OP.GG) to understand if the proposed visualization techniques are adequate for analyzing player’s performance. The results suggest that players are capable of visualizing game-related data through the use of animated maps, to solve common analytic tasks and the comparison suggests that participants prefer to visualize spatio-temporal data dynamically, i.e., using animated maps or the replay system.","PeriodicalId":429883,"journal":{"name":"2019 23rd International Conference Information Visualisation (IV)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117215033","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Recreating Time: The Virtual Cathedral Project and the Representation of Early Modern Reality","authors":"J. Wall","doi":"10.1109/IV.2019.00081","DOIUrl":"https://doi.org/10.1109/IV.2019.00081","url":null,"abstract":"The Virtual St Paul’s Cathedral Project (https://vpcp.chass.ncsu.edu/) demonstrates the capabilities of digital modeling technology for visualizing the past through simultaneous integration of multiple sets and kinds of data. It also illustrates the challenges model-makers face when the historic data on which they depend for accuracy is fragmentary, missing, or contradictory. The Virtual Cathedral Project addresses these challenges by distinguishing between portions of the visual model based on verifiable data (such as measurements of the original structures either surviving from contemporary surveys or derived from archaeological examination of ruins) and portions based on representative data (such as information derived from other examples of the same kind of structure). Often, the modeling of any specific structure includes both kinds of data; our model of the Cathedral’s deanery, for example, combines descriptive data about size and arrangement of rooms derived from a contemporary survey of the property with representational data from other cathedral deaneries of that time about construction materials and other features of the building’s appearance. This presentation uses the process we employed in recreating the Cathedral’s West Front to illustrate how we support our claims to have created a historically accurate model of St Paul’s Cathedral and its environs while acknowledging that our use of the word “accurate” is relative to the quality of the data available to us for visualization.","PeriodicalId":429883,"journal":{"name":"2019 23rd International Conference Information Visualisation (IV)","volume":"83 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124119300","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Visualizing the Semantics of Music","authors":"Hugo Lima, C. Santos, B. Meiguins","doi":"10.1109/IV.2019.00066","DOIUrl":"https://doi.org/10.1109/IV.2019.00066","url":null,"abstract":"We introduce SongVis, a visualization that represents music's semantic descriptors. SongVis uses emojis, colors, lines and shapes to embody the semantic content of a song. It aims to aid users on tasks related to exploration/browsing of music libraries and at queries for similar tracks based on visual characteristics. We first collected the descriptors after surveying papers on the topic of \"music visualization\", and used a questionnaire to rank the terms by consulting the public. Then, the features: mood, danceability, tempo, music genre and instrument, were extracted using state-of-the-art music information retrieval algorithms and we considered their visuals. Then, we discuss potential improvements to be made. With SongVis we perform a step forward towards visually representing semantic descriptors and expect that the music information research, the information visualization fields and the public can benefit from this work.","PeriodicalId":429883,"journal":{"name":"2019 23rd International Conference Information Visualisation (IV)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127923076","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
M. Angelini, Giorgio Cazzetta, M. Geymonat, M. Mirabelli, G. Santucci
{"title":"Toward Multidimensional Geographical Performance Analysis for Telecommunications Network","authors":"M. Angelini, Giorgio Cazzetta, M. Geymonat, M. Mirabelli, G. Santucci","doi":"10.1109/IV.2019.00049","DOIUrl":"https://doi.org/10.1109/IV.2019.00049","url":null,"abstract":"Management and maintenance of mobile networks is a challenging activity: key point indicators related to different dimensions need to be evaluated in order to make business decisions and/or to manage problems arising from the network and the relative impact on business. This paper presents a visual analytics solution able to geo-reference up to three key point indicators, aiming at supporting operators in charge of analyzing the mobile network, detecting possible mobile network failures and managing resulting business oriented decisions. The proposed system has been developed collaboratively by University of Rome “La Sapienza” and TIM.","PeriodicalId":429883,"journal":{"name":"2019 23rd International Conference Information Visualisation (IV)","volume":"93 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115657855","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}