Humphrey O. Obie, C. Chua, Iman Avazpour, Mohamed Abdelrazek, John C. Grundy, T. Bednarz
{"title":"PedaViz","authors":"Humphrey O. Obie, C. Chua, Iman Avazpour, Mohamed Abdelrazek, John C. Grundy, T. Bednarz","doi":"10.1145/3231622.3231626","DOIUrl":"https://doi.org/10.1145/3231622.3231626","url":null,"abstract":"Effective visualisation plays a vital role in generating insights from data. The selection of graph types however, is highly dependent on the analysis tasks and data types at hand. For example, spatio-temporal visualisations encode changes in data over time and space. Although they have the potential of revealing overall tendencies and movement patterns, building effective spatio-temporal visualisations is challenging because it requires encoding all three attributes of spatio-temporal data i.e. thematic (values of attributes), temporal and spatial in a single visualisation. In this application design study, we present PedaViz for representing hour-level spatio-temporal attributes within a single visualisation; a 24-hour radial visual metaphor that encodes hour-level temporal and daily temperature attributes while utilising a thematic map display to present spatial attributes. The design was applied on city planning domain using Melbourne's pedestrian count and temperature data. Results of our preliminary user evaluation suggest that our visualisation is easily understandable by users; and supports users in carrying out selected analysis tasks.","PeriodicalId":272967,"journal":{"name":"Proceedings of the 11th International Symposium on Visual Information Communication and Interaction","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114292692","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 Programming Session Timelines","authors":"Daniel Toll, Anna Wingkvist","doi":"10.1145/3231622.3232506","DOIUrl":"https://doi.org/10.1145/3231622.3232506","url":null,"abstract":"Learning programming with tutor tools has grown in popularity. These tools present programming assignments and provide feedback in the form of test-cases and compilation errors. Our timeline visualization of data from one such tool allows us to tell a story about what files were accessed and for how long, in what order files were edited, grown or shrunk, what errors the student ran into, and how those errors were addressed. This can be done without a need to read and replay the entire programming session. In sum, the tool has been used to visualize logs from students that tried to solve programming assignments and we find interesting stories that can help us improve how we address new assignments.","PeriodicalId":272967,"journal":{"name":"Proceedings of the 11th International Symposium on Visual Information Communication and Interaction","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129616890","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}
Mehmood Ghaffar, Niklas Biere, Daniel Jäger, Karsten Klein, F. Schreiber, O. Kruse, B. Sommer
{"title":"3D Modelling and Visualisation of Heterogeneous Cell Membranes in Blender","authors":"Mehmood Ghaffar, Niklas Biere, Daniel Jäger, Karsten Klein, F. Schreiber, O. Kruse, B. Sommer","doi":"10.1145/3231622.3231639","DOIUrl":"https://doi.org/10.1145/3231622.3231639","url":null,"abstract":"Chlamydomonas reinhardtii cells have been in the focus of research for more than a decade, in particular due to its use as alternative source for energy production. However, the molecular processes in these cells are still not completely known, and 3D visualisations may help to understand these complex interactions and processes. In previous work, we presented the stereoscopic 3D (S3D) visualisation of a complete Chlamydomonas reinhardtii cell created with the 3D modelling framework Blender. This animation contained already a scene showing an illustrative membrane model of the thylakoid membrane. During discussion with domain experts, shortcomings of the visualisation for several detailed analysis questions have been identified and it was decided to redefine it. A new modelling and visualisation pipeline based on a Membrane Packing Algorithm was developed, which can be configured via a user interface, enabling the composition of membranes employing published material. An expert user study was conducted to evaluate this new approach, with half the participants having a biology and the other half having an informatics background. The new and old Chlamydomonas thylakoid membrane models were presented on a S3D back projection system. The evaluation results reveal that the majority of participants preferred the new, more realistic membrane visualisation. However, the opinion varied with the expertise, leading to valuable conclusions for future visualisations. Interestingly, the S3D presentation of molecular structures lead to a positive change in opinion regarding S3D technology.","PeriodicalId":272967,"journal":{"name":"Proceedings of the 11th International Symposium on Visual Information Communication and Interaction","volume":"62 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121533552","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":"Information Visualization and Design","authors":"Anna-Sara Fagerholm, M. Andersson","doi":"10.1145/3231622.3231636","DOIUrl":"https://doi.org/10.1145/3231622.3231636","url":null,"abstract":"Recently, there has been an increase of data visualizations and in the diversity of forms. In parallel, design research has developed over the last decades. However, there have been few academic publications in the area of design specifically focusing on visualization research. In this poster, we present an overview of design research within the field of visualization in order to investigate key research areas and possible directions for future work.","PeriodicalId":272967,"journal":{"name":"Proceedings of the 11th International Symposium on Visual Information Communication and Interaction","volume":"231 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115906921","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 Uncertainty Visualization in Smart Production Environments","authors":"Björn Zimmer, Jan Zenisek, Hans-Christian Jetter","doi":"10.1145/3231622.3231640","DOIUrl":"https://doi.org/10.1145/3231622.3231640","url":null,"abstract":"Using predictive models for data-driven optimization of production lines is a trending topic in manufacturing. A challenge is to support the visualization and management of data and arising uncertainties in various phases. Modern production lines can contain thousands of sensors to collect readings every few milliseconds. When creating predictive models for optimization from this data, its sheer amount not only poses challenges to data storage and management, but also during the different phases of data preparation, modeling, decision making, and executing optimizations. Our research aims at a better support of all these phases with data visualization, with new strategies for the management of uncertainty. Predictive models help operators to identify problems and the degree of wear of tools or parts in production lines. However, data analysts, supervisors, and service technicians must be aware that these models contain uncertainties and the recommendations made by these models should be critically reflected before acceptance. One way to mitigate the negative impact of uncertainties is to use visualization as tool for analyzing the potentials and limits of prediction models. Therefore, we propose a process model for the different activities of optimization in a smart production environment and discuss challenges for the visualization of data and uncertainty in each step.","PeriodicalId":272967,"journal":{"name":"Proceedings of the 11th International Symposium on Visual Information Communication and Interaction","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132356350","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":"Interactive, Height-Based Filtering in 2.5D Treemaps","authors":"Daniel Limberger, Matthias Trapp, J. Döllner","doi":"10.1145/3231622.3231638","DOIUrl":"https://doi.org/10.1145/3231622.3231638","url":null,"abstract":"The 2.5D treemap facilitates interactive exploration of multivariate data. It includes height as a visual variable for additional information display and enables exploration of correlations within mapped attributes. In this paper techniques for the visual display of a height reference for interactive modification from within the visualization are introduced. Results of a preliminary user study are presented and potential benefits for improved performance, i.e., precision and speed, of identification, comparison, filtering, and selection tasks are discussed.","PeriodicalId":272967,"journal":{"name":"Proceedings of the 11th International Symposium on Visual Information Communication and Interaction","volume":"69 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114909580","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":"Contrast Enhancement Based on Viewing Distance","authors":"Liang Zhou, D. Weiskopf","doi":"10.1145/3231622.3231628","DOIUrl":"https://doi.org/10.1145/3231622.3231628","url":null,"abstract":"In this paper, we propose an image-space contrast enhancement method for color-encoded visualization. The contrast of an image is enhanced through a perceptually-guided approach that interfaces with the user with a single and intuitive parameter of the virtual viewing distance. To this end, we analyze a multiscale contrast model of the input image and test the visibility of bandpass images of all scales at a virtual viewing distance. By adapting weights of bandpass images with a threshold model of spatial vision, this image-based method enhances contrast to compensate for contrast loss caused by viewing the image at a certain distance. Relevant features in the color image can be further emphasized by the user using overcompensation. The method is efficient and can be integrated into any visualization tool as it is a generic image-based post-processing technique. Using highly diverse datasets, we show the usefulness of perception compensation across a wide range of typical visualizations.","PeriodicalId":272967,"journal":{"name":"Proceedings of the 11th International Symposium on Visual Information Communication and Interaction","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125287936","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":"Application of Interactive Computer-Assisted Argument Extraction to Opinionated Social Media Texts","authors":"K. Kucher, Maria Skeppstedt, A. Kerren","doi":"10.1145/3231622.3232505","DOIUrl":"https://doi.org/10.1145/3231622.3232505","url":null,"abstract":"The analysis of various opinions and arguments in textual data can be facilitated by automatic topic modeling methods; however, the exploration and interpretation of the resulting topics and terms may prove to be difficult to the analysts. Opinions, stances, arguments, topics, terms, and text documents are usually connected with many-to-many relationships for such tasks. Exploratory visual analysis with interactive tools can help the analysts to get an overview of the topics and opinions, identify particularly interesting documents, and describe main themes of various arguments. In our previous work, we introduced an interactive tool called Topics2Themes that was used for topic and theme analysis of vaccination-related discussion texts with a limited set of stance categories. In this poster paper, we describe an application of Topics2Themes to a different genre of data, namely, political comments from Reddit, and multiple sentiment and stance categories detected with automatic classifiers.","PeriodicalId":272967,"journal":{"name":"Proceedings of the 11th International Symposium on Visual Information Communication and Interaction","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125960125","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":"Data Modeling and Analysis on Fashion Evolution","authors":"T. Xing","doi":"10.1145/3231622.3231634","DOIUrl":"https://doi.org/10.1145/3231622.3231634","url":null,"abstract":"Fashion styles often change over time, but why and how certain fashion clothes become out of style is rarely investigated. Researchers have long been interested in understanding why and how some fashion styles last long, while others are short lived. Our research demonstrates that the adoption speed affects fashion evolution. We analyze data obtained from the VOGUE magazine on clothes' frequency of appearance. Results show that cloth styles adopted quickly would become unfashionable faster. This may help understanding fashion consumption and thus guide the marketing effort.","PeriodicalId":272967,"journal":{"name":"Proceedings of the 11th International Symposium on Visual Information Communication and Interaction","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134400082","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":"Upstream Visibility: A Multi-View Routing Visualization","authors":"Luca Marzialetti, Massimo Candela, G. Battista","doi":"10.1145/3231622.3231632","DOIUrl":"https://doi.org/10.1145/3231622.3231632","url":null,"abstract":"The Internet is constantly evolving and changing over time. Outages, attacks, upgrades, censorships, and policy changes modify the routing very frequently everywhere in the world. To give the possibility to the Internet Service Providers and to the network operators of monitoring such an evolving scenario, many organizations collect the routing changes and give free access to them. We propose, prototype, and evaluate a visual interface, called Upstream Visibility, to display such data. It is based on three views: (1) a global view that, based on stacked area charts, gives the high level trend of the visibility of an IP prefix; (2) a local view allows the user to check the effects over time of the visibility of an IP prefix on specific locations of the network; and (3) a traditional graph animation view. Also, we propose heuristics for producing such type of drawings, evaluating their effectiveness and performance against scenarios describing well-known Internet incidents.","PeriodicalId":272967,"journal":{"name":"Proceedings of the 11th International Symposium on Visual Information Communication and Interaction","volume":"62 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124795653","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}