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  • 1. Banissi, Ebad
    et al.
    Stuart, LizWyeld, TheodorJern, MikaelAndrienko, GennadyMemon, NasrullahAlhajj, RedaBurkhard, RemoGrinstein, GeorgeGroth, DennisUrsyn, AnnaJohansson, JimmyLinköping University, Department of Science and Technology, Visual Information Technology and Applications (VITA). Linköping University, The Institute of Technology.Forsell, CamillaLinköping University, Department of Science and Technology, Visual Information Technology and Applications (VITA). Linköping University, The Institute of Technology.Cvek, UrskaTrutschl, MarjamMarchese, FrancisMaple, CarstenCowell, AndrewVande Moere, Andrew
    Information Visualization2009Conference proceedings (editor) (Other academic)
  • 2.
    Ericsson, Daniel
    et al.
    ITN Undergraduate LiU.
    Johansson, Jimmy
    Linköping University, Department of Science and Technology, Visual Information Technology and Applications (VITA). Linköping University, The Institute of Technology.
    Cooper, Matthew
    Linköping University, Department of Science and Technology, Visual Information Technology and Applications (VITA). Linköping University, The Institute of Technology.
    Visual Data Analysis using Tracked Statistical Measures within Parallel Coordinate Representations2005In: IEEE International Conference on Coordinated Multiple Views in Exploratory Visualization,2005, Los Alamitos, CA, USA: IEEE , 2005, p. 42-Conference paper (Refereed)
  • 3.
    Feldt, Nina
    et al.
    ITN Undergraduate LiU.
    Pettersson, Henrik
    ITN Undergraduate LiU.
    Johansson, Jimmy
    Linköping University, Department of Science and Technology, Visual Information Technology and Applications (VITA). Linköping University, The Institute of Technology.
    Jern, Mikael
    Linköping University, Department of Science and Technology, Visual Information Technology and Applications (VITA). Linköping University, The Institute of Technology.
    Tailor-made Exploratory Visualization for Statistics Sweden2005In: IEEE International Conference on Coordinated Multiple Views in Exploratory Visualization,2005, Los Alamitos, CA, USA: IEEE , 2005, p. 133-Conference paper (Refereed)
  • 4.
    Forsell, Camilla
    et al.
    Linköping University, Department of Science and Technology, Media and Information Technology. Linköping University, The Institute of Technology.
    Johansson, Jimmy
    Linköping University, Department of Science and Technology, Media and Information Technology. Linköping University, The Institute of Technology.
    An Heuristic Set for Evaluation in Information Visualization2010In: Advanced Visual Interfaces, AVI10, New York, USA: ACM press , 2010, p. 199-206Conference paper (Refereed)
    Abstract [en]

    Evaluation is a key research challenge within the international Information Visualization (InfoVis) community, and Heuristic Evaluation is one recognized method. Various sets of heuristics have been proposed but there remains no consensus as to which heuristics are most useful for addressing aspects specific to the complex interactive visual displays used in modern InfoVis systems. This paper presents a first effort to empirically determine a new set of such general heuristics tailored for Heuristic Evaluation of common and important usability problems in InfoVis techniques. Participants in the study rated how well a total of 63 heuristics from 6 earlier published heuristic sets could explain a collection of 74 usability problems derived from earlier InfoVis evaluations. The results were used to synthesize 10 heuristics that, as a set, provided the highest explanatory coverage. The paper also stresses the challenges for future research to validate and further improve upon this set.

  • 5.
    Forsell, Camilla
    et al.
    Department of Information Science, Uppsala University, Uppsala, Sweden.
    Johansson, Jimmy
    Linköping University, Department of Science and Technology, Visual Information Technology and Applications (VITA). Linköping University, The Institute of Technology.
    Task-Based Evaluation of Multi-Relational 3D and Standard 2D Parallel Coordinates2007In: Visualization and Data Analysis 2007 / [ed] Robert F. Erbacher, Jonathan C. Roberts, Matti T. Gröhn, Katy Börner, Bellingham, WA / Springfield, Virginia, USA: SPIE—The International Society for Optical Engineering & IS&T—The Society for Imaging Science and Technology , 2007, Vol. 6495, p. 64950C-1-64950C-12Conference paper (Refereed)
    Abstract [en]

    Multivariatedata sets exist in a wide variety of fields andparallel coordinates visualizations are commonly used for analysing such data.This paper presents a usability evaluation where we compare threetypes of parallel coordinates visualization for exploratory analysis of multivariatedata. We use a standard parallel coordinates display with manualpermutation of axes, a standard parallel coordinates display with automaticpermutation of axes, and a multi-relational 3D parallel coordinates displaywith manual permutation of axes. We investigate whether a 3Dlayout showing more relations simultaneously, but distorted by perspective effects,is advantageous when compared with a standard 2D layout. Theevaluation is accomplished by means of an experiment comparing performancedifferences for a class of task known to be well-supportedby parallel coordinates. Two levels of difficulty of the taskare used and both require the user to find relationshipsbetween variables in a multivariate data set. Our results showthat for the manual exploration of a complex interrelated multivariatedata set, the user performance with multi-relational 3D parallel coordinatesis significantly faster. In simpler tasks, however, the difference isnegligible. The study adds to the body of work examiningthe utility of 3D representations and what properties of structurein 3D space can be successfully used in 3D representationsof multivariate data.

  • 6.
    Glaas, Erik
    et al.
    Linköping University, Department of Thematic Studies, Tema Environmental Change. Linköping University, Faculty of Arts and Sciences. Linköping University, Department of Thematic Studies, Centre for Climate Science and Policy Research.
    Gammelgaard Ballantyne, Anne
    Linköping University, Department of Thematic Studies, Tema Environmental Change. Linköping University, Faculty of Arts and Sciences. Linköping University, Department of Thematic Studies, Centre for Climate Science and Policy Research. Department of Business Development and Technology, Aarhus BSS, Aarhus University, Danmark.
    Neset, Tina-Simone
    Linköping University, Department of Thematic Studies, Tema Environmental Change. Linköping University, Faculty of Arts and Sciences. Linköping University, Department of Thematic Studies, Centre for Climate Science and Policy Research.
    Linnér, Björn-Ola
    Linköping University, Department of Thematic Studies, Tema Environmental Change. Linköping University, Faculty of Arts and Sciences. Linköping University, Department of Thematic Studies, Centre for Climate Science and Policy Research.
    Navarra, Carlo
    Linköping University, Department of Thematic Studies, Tema Environmental Change. Linköping University, Faculty of Arts and Sciences. Linköping University, Department of Thematic Studies, Centre for Climate Science and Policy Research.
    Johansson, Jimmy
    Linköping University, Department of Science and Technology, Media and Information Technology. Linköping University, Faculty of Science & Engineering.
    Opach, Tomasz
    Department of Geography, Norwegian University of Science and Technology and Department of Global Development and Planning, University of Agder, Norge.
    Rød, Jan Ketil
    Department of Geography, Norwegian University of Science and Technology and Department of Global Development and Planning, University of Agder, Norge.
    Goodsite, Michael E.
    Department of Technology and Innovation, University of Southern Denmark, Danmark.
    Facilitating climate change adaptation through communication: Insights from the development of a visualization tool2015In: Energy Research and Social Science, ISSN 2214-6296, Vol. 10, p. 57-61Article in journal (Refereed)
    Abstract [en]

    Climate change communication on anticipated impacts and adaptive responses is frequently presentedas an effective means to facilitate implementation of adaptation to mitigate risks to residential buildings.However, it requires that communication is developed in a way that resonates with the context of thetarget audience, provides intelligible information and addresses perceived barriers to adaptation. In thispaper we reflect upon criteria for useful climate change communication gained over a three year developmentprocess of a web-based tool – VisAdaptTM – aimed at increasing the adaptive capacity amongNordic homeowners. Based on the results from continuous user-testing and focus group interviews weoutline lessons learned and key aspects to consider in the design of tools for communicating complexissues such as climate change effects and adaptive response measures.

  • 7.
    Jern, Mikael
    et al.
    Linköping University, Department of Science and Technology, Visual Information Technology and Applications (VITA). Linköping University, The Institute of Technology.
    Johansson, Sara
    Linköping University, Department of Science and Technology, Visual Information Technology and Applications (VITA). Linköping University, The Institute of Technology.
    Johansson, Jimmy
    Linköping University, Department of Science and Technology, Visual Information Technology and Applications (VITA). Linköping University, The Institute of Technology.
    Franzén, Johan
    Linköping University, Department of Science and Technology, Visual Information Technology and Applications (VITA). Linköping University, The Institute of Technology.
    The GAV Toolkit for Multiple Linked Views2007In: Fifth International Conference on Coordinated and Multiple Views in Exploratory Visualization, 2007. CMV '07., Los Alamitos, CA, USA: IEEE Computer Society, 2007, p. 85-97Conference paper (Refereed)
    Abstract [en]

    Implementing InfoVis multivariate data tools, timelinked coordinated views and visual dynamic queries with conditioning from scratch is not a simple programming task. Our research objective is to develop a generic GeoAnalytics visualization (GAV) component toolkit, based on the principles behind visual analytics (VA), for dynamically exploring time-varying, geographically referenced and multivariate attributes simultaneously. GAV includes components based on a synergy of technologies from information visualization, geovisualization and scientific visualization. Our research concentrates on improving visual user interfaces (VUI) methods and trying to extend existing visual representation techniques. The effectiveness of our proposed component toolkit and framework is demonstrated in two customized applications GeoWizard analysing multivariate energy usage data for Swedish municipalities and MD-Explorer exploring multivariate data using novel interactive ternary diagrams. We use parallel coordinates with embedded visual inquiry methods that serves as a visual control panel for dynamically linked and coordinated views. Finally, discoveries made during the visual exploration process can be captured and organized in a format for later recall and communication to others.

  • 8.
    Johansson Fernstad, Sara
    et al.
    Linköping University, Department of Science and Technology, Media and Information Technology. Linköping University, The Institute of Technology.
    Johansson, Jimmy
    Linköping University, Department of Science and Technology, Media and Information Technology. Linköping University, The Institute of Technology.
    A Task Based Performance Evaluation of Visualization Approaches for Categorical Data Analysis.2011In: Proceedings - 15th International Conferenceon Information Visualisation, Los Alamitos, CA, USA: IEEE Computer Society, 2011, p. 80-89Conference paper (Other academic)
    Abstract [en]

    Categorical data is common within many areas and efficient methods for analysis are needed. It is, however, often difficult to analyse categorical data since no general measure of similarity exists. One approach is to represent the categories with numerical values (quantification) prior to visualization using methods for numerical data. Another is to use visual representations specifically designed for categorical data. Although commonly used, very little guidance is available as to which method may be most useful for different analysis tasks. This paper presents an evaluation comparing the performance of employing quantification prior to visualization and visualization using a method designed for categorical data. It also provides a guidance as to which visualization approach is most useful in the context of two basic data analysis tasks: one related to similarity structures and one related to category frequency. The results strongly indicate that the quantification approach is most efficient for the similarity related task, whereas the visual representation designed for categorical data is most efficient for the task related to category frequency.

  • 9.
    Johansson Fernstad, Sara
    et al.
    Linköping University, Department of Science and Technology, Media and Information Technology. Linköping University, The Institute of Technology.
    Johansson, Jimmy
    Linköping University, Department of Science and Technology, Media and Information Technology. Linköping University, The Institute of Technology.
    Adams, Suzi
    Unilever Discover Port Sunlight, UK.
    Shaw, Jane
    Unilever Discover Port Sunlight, UK.
    Taylor, David
    Unilever Discover Port Sunlight, UK.
    Visual Exploration of Microbial Populations2011In: IEEE Symposium on Biological Data Visualization, 2011, p. 127-134Conference paper (Other academic)
    Abstract [en]

    Studies of the ecology of microbial populations are increasingly common within many research areas as the field of microbiomics develops rapidly. The study of the ecology in sampled microbial populations generates high dimensional data sets. Although many analysis methods are available for examination of such data, a tailored tool was required to fulfill the need of interactivity and flexibility for microbiologists. In this paper, MicrobiVis is presented. It is a tool for visual exploration and interactive analysis of microbiomic populations. MicrobiVis has been designed in close collaboration with end users. It extends previous interactive systems for explorative dimensionality reduction by including a range of domain relevant features. It contributes a flexible and explorative dimensionality reduction as well as a visual and interactive environment for examination of data subsets. By combining information visualization and methods based on analytic tasks common in microbiology as a means for gaining new and relevant insights. The utility of MicrobiVis is demonstrated through a use case describinghow a microbiologist may use the system for a visual analysis of amicrobial data set. Its usability and potential is indicated throughpositive feedback from the current end users.

  • 10.
    Johansson Fernstad, Sara
    et al.
    Linköping University, Department of Science and Technology, Media and Information Technology. Linköping University, The Institute of Technology.
    Shaw, Jane
    Unilever Discover Port Sunlight, UK.
    Johansson, Jimmy
    Linköping University, Department of Science and Technology, Media and Information Technology. Linköping University, The Institute of Technology.
    Quality Based Guidance for Exploratory Dimensionality Reduction2013In: Information Visualization, ISSN 1473-8716, E-ISSN 1473-8724, Vol. 12, no 1, p. 44-64Article in journal (Refereed)
    Abstract [en]

    High dimensional data sets containing hundreds of variables are difficult to explore, since traditional visualization methods often are unable to represent such data effectively. Dimensionality reduction is commonly employed prior to visualization to address this difficulty, and numerous dimensionality reduction methods are available. However, few dimensionality reduction approaches take the importance of several structures into account and few provide an overview of structures existing in the full high dimensional data set. For exploratory analysis, as well as for many other tasks, several structures may be of interest and exploration of the full high dimensional data set without reduction may also be desirable.This paper presents methods for exploratory analysis and interactive dimensionality reduction, where automated methods are employed to analyse and rank the variables using a range of quality metrics, providing one or more measures of ‘interestingness’ for individual variables. Through ranking, a single value of interestingness is obtained based on several quality metrics which is usable as a threshold for the most interesting variables. An interactive environment is presented where the user is provided many possibilities to explore and gain understanding of the structures within the high dimensional data set, all based on quality metrics and ranking. Guided by this, the analyst can explore the high dimensional data set and select interactively a subset of the potentially most interesting variables, employing various interactive methods for dimensionality reduction. The effectiveness and usefulness of the system is demonstrated through a use-case analysing data from a DNA sequence-based study of bacterial populations.

  • 11.
    Johansson, Jimmy
    Linköping University, Department of Science and Technology, Visual Information Technology and Applications (VITA). Linköping University, The Institute of Technology.
    Efficient Information Visualization of Multivariate and Time-Varying Data2008Doctoral thesis, comprehensive summary (Other academic)
    Abstract [en]

    Data can be found everywhere, for example in the form of price, size, weight and colour of all products sold by a company, or as time series of daily observations of temperature, precipitation, wind and visibility from thousands of stations. Due to their size and complexity it is intrinsically hard to form a global overview and understanding of them. Information visualization aims at overcoming these difficulties by transforming data into representations that can be more easily interpreted.

    This thesis presents work on the development of methods to enable efficient information visualization of multivariate and time-varying data sets by conveying information in a clear and interpretable way, and in a reasonable time. The work presented is primarily based on a popular multivariate visualization technique called parallel coordinates but many of the methods can be generalized to apply to other information visualization techniques.

    A three-dimensional, multi-relational version of parallel coordinates is presented that enables a simultaneous analysis of all pairwise relationships between a single focus variable and all other variables included in the display. This approach permits a more rapid analysis of highly multivariate data sets. Through a number of user studies the multi-relational parallel coordinates technique has been evaluated against standard, two-dimensional parallel coordinates and been found to better support a number of different types of task.

    High precision density maps and transfer functions are presented as a means to reveal structure in large data displayed in parallel coordinates. These two approaches make it possible to interactively analyse arbitrary regions in a parallel coordinates display without risking the loss of significant structure.

    Another focus of this thesis relates to the visualization of time-varying, multivariate data. This has been studied both in the specific application area of system identification using volumetric representations, as well as in the general case by the introduction of temporal parallel coordinates.

    The methods described in this thesis have all been implemented using modern computer graphics hardware which enables the display and manipulation of very large data sets in real time. A wide range of data sets, both synthetically generated and taken from real applications, have been used to test these methods. It is expected that, as long as the data have multivariate properties, they could be employed efficiently.

    List of papers
    1. 3-Dimensional Display for Clustered Multi-Relational Parallel Coordinates
    Open this publication in new window or tab >>3-Dimensional Display for Clustered Multi-Relational Parallel Coordinates
    2005 (English)In: Proceedings of IEEE International Conference on Information Visualisation, IV05, 6-8 July, 2005, p. 188-193Conference paper, Published paper (Other academic)
    Abstract [en]

    Analysing multivariate data is a difficult task. Extensive interaction with the data is often necessary and, hence, the analysis can be quite time consuming. In this paper, we introduce a method to allow the user to simultaneously examine the relationships of a single dimension with many others in the data. The single dimension can then be interactively changed to allow the user to quickly examine all possible combinations. This method is achieved by extending the standard parallel coordinate approach to a 3D clustered multi-relational parallel coordinate representation (CMRPC). To aid this method, we use a technique called relation spacing which is used to position the axes according to how 'interesting' the different relations are. We also propose a number of interaction techniques to further facilitate the analysis process.

    National Category
    Engineering and Technology
    Identifiers
    urn:nbn:se:liu:diva-13210 (URN)10.1109/IV.2005.1 (DOI)
    Available from: 2008-05-07 Created: 2008-05-07 Last updated: 2010-12-06
    2. Task-Based Evaluation of Multi-Relational 3D and Standard 2D Parallel Coordinates
    Open this publication in new window or tab >>Task-Based Evaluation of Multi-Relational 3D and Standard 2D Parallel Coordinates
    2007 (English)In: Visualization and Data Analysis 2007 / [ed] Robert F. Erbacher, Jonathan C. Roberts, Matti T. Gröhn, Katy Börner, Bellingham, WA / Springfield, Virginia, USA: SPIE—The International Society for Optical Engineering & IS&T—The Society for Imaging Science and Technology , 2007, Vol. 6495, p. 64950C-1-64950C-12Conference paper, Published paper (Refereed)
    Abstract [en]

    Multivariatedata sets exist in a wide variety of fields andparallel coordinates visualizations are commonly used for analysing such data.This paper presents a usability evaluation where we compare threetypes of parallel coordinates visualization for exploratory analysis of multivariatedata. We use a standard parallel coordinates display with manualpermutation of axes, a standard parallel coordinates display with automaticpermutation of axes, and a multi-relational 3D parallel coordinates displaywith manual permutation of axes. We investigate whether a 3Dlayout showing more relations simultaneously, but distorted by perspective effects,is advantageous when compared with a standard 2D layout. Theevaluation is accomplished by means of an experiment comparing performancedifferences for a class of task known to be well-supportedby parallel coordinates. Two levels of difficulty of the taskare used and both require the user to find relationshipsbetween variables in a multivariate data set. Our results showthat for the manual exploration of a complex interrelated multivariatedata set, the user performance with multi-relational 3D parallel coordinatesis significantly faster. In simpler tasks, however, the difference isnegligible. The study adds to the body of work examiningthe utility of 3D representations and what properties of structurein 3D space can be successfully used in 3D representationsof multivariate data.

    Place, publisher, year, edition, pages
    Bellingham, WA / Springfield, Virginia, USA: SPIE—The International Society for Optical Engineering & IS&T—The Society for Imaging Science and Technology, 2007
    Series
    Proceedings of SPIE - International Society for Optical Engineering, ISSN 0277-786X ; Vol. 6495
    Keywords
    Evaluation, parallel coordinates, multi-relational 3D parallel coordinates, multivariate data
    National Category
    Engineering and Technology
    Identifiers
    urn:nbn:se:liu:diva-13211 (URN)10.1117/12.697548 (DOI)000245866700010 ()9780819466082 (ISBN)
    Conference
    Visualization and Data Analysis, San Jose, California, USA, 29–30 January 2007
    Available from: 2008-05-07 Created: 2008-05-07 Last updated: 2014-04-23Bibliographically approved
    3. Perceiving Patterns in Parallel Coordinates: Determining Thresholds for Identification of Relationships
    Open this publication in new window or tab >>Perceiving Patterns in Parallel Coordinates: Determining Thresholds for Identification of Relationships
    2008 (English)In: Information Visualization, ISSN 1473-8716, E-ISSN 1473-8724, Vol. 7, no 2, p. 152-162Article in journal (Refereed) Published
    Abstract [en]

    This article presents a study that investigates the ability of humans to perceive relationships (patterns) in parallel coordinates, an ability that is crucial to the use of this popular visualization technique. It introduces a visual quality metric, acceptable distortions of patterns, which establishes the level of noise that may be present in data while allowing accurate identification of patterns. This metric was used to assess perceptual performance of standard 2D parallel coordinates and multi-relational 3D parallel coordinates in two experiments. In multi-relational 3D parallel coordinates the axes are placed on a circle with a focus axis in the centre, allowing a simultaneous analysis between the focus variable and all other variables. The experiments aimed to determine the maximum number of variables that can be, from a user's point of view, efficiently used in a multi-relational 3D parallel coordinates display and to present a first attempt to study users' ability to analyse noisy data in parallel coordinates. The results show that, in terms of the acceptable level of noise in data, a multi-relational 3D parallel coordinates visualization having 11 axes (variables) is as efficient as standard 2D parallel coordinates. Visualizing a larger number of variables would possibly require a greater amount of manipulation of the visualization and thus be less efficient.

    Keywords
    Evaluation of visualization, parallel coordinates, pattern identification, perception
    National Category
    Engineering and Technology
    Identifiers
    urn:nbn:se:liu:diva-13212 (URN)10.1057/palgrave.ivs.9500166 (DOI)
    Available from: 2008-05-07 Created: 2008-05-07 Last updated: 2017-12-13
    4. Revealing Structure within Clustered Parallel Coordinates Displays
    Open this publication in new window or tab >>Revealing Structure within Clustered Parallel Coordinates Displays
    2005 (English)In: Proceedings of IEEE Symposium on Information Visualization, 23-25 Oct., 2005, p. 125-132Conference paper, Published paper (Other academic)
    Abstract [en]

    In order to gain insight into multivariate data, complex structures must be analysed and understood. Parallel coordinates is an excellent tool for visualizing this type of data but has its limitations. This paper deals with one of its main limitations - how to visualize a large number of data items without hiding the inherent structure they constitute. We solve this problem by constructing clusters and using high precision textures to represent them. We also use transfer functions that operate on the high precision textures in order to highlight different aspects of the cluster characteristics. Providing predefined transfer functions as well as the support to draw customized transfer functions makes it possible to extract different aspects of the data. We also show how feature animation can be used as guidance when simultaneously analysing several clusters. This technique makes it possible to visually represent statistical information about clusters and thus guides the user, making the analysis process more efficient.

    National Category
    Engineering and Technology
    Identifiers
    urn:nbn:se:liu:diva-13213 (URN)10.1109/INFVIS.2005.1532138 (DOI)
    Available from: 2008-05-07 Created: 2008-05-07 Last updated: 2015-05-27
    5. Revealing Structure in Visualizations of Dense 2D and 3D Parallel Coordinates
    Open this publication in new window or tab >>Revealing Structure in Visualizations of Dense 2D and 3D Parallel Coordinates
    2006 (English)In: Information Visualization, ISSN 1473-8716, Vol. 5, no 2, p. 125-136Article in journal (Refereed) Published
    Abstract [en]

    Parallel coordinates is a well-known technique used for visualization of multivariate data. When the size of the data sets increases the parallel coordinates display results in an image far too cluttered to perceive any structure. We tackle this problem by constructing high-precision textures to represent the data. By using transfer functions that operate on the high-precision textures, it is possible to highlight different aspects of the entire data set or clusters of the data. Our methods are implemented in both standard 2D parallel coordinates and 3D multi-relational parallel coordinates. Furthermore, when visualizing a larger number of clusters, a technique called 'feature animation' may be used as guidance by presenting various cluster statistics. A case study is also performed to illustrate the analysis process when analysing large multivariate data sets using our proposed techniques.

    Keywords
    Parallel coordinates, 3D multi-relational parallel coordinates, clustering, transfer function, density map, feature animation
    National Category
    Engineering and Technology
    Identifiers
    urn:nbn:se:liu:diva-13214 (URN)10.1057/palgrave.ivs.9500117 (DOI)
    Available from: 2008-05-07 Created: 2008-05-07 Last updated: 2015-05-27
    6. Interactive Analysis of Time-Varying Systems Using Volume Graphics
    Open this publication in new window or tab >>Interactive Analysis of Time-Varying Systems Using Volume Graphics
    2004 (English)In: Proceedings of the 43rd IEEE Conference on Decision and Control, 2004, p. 5083-5087Conference paper, Published paper (Refereed)
    Abstract [en]

    We show how 3-dimensional volume graphics can be used as a tool in system identification. Time-dependent dynamics often leave a significant residual with linear, time-invariant models. The structure of this residual is decisive for the subsequent modelling, and by using advanced visualization techniques, the modeller may gain a deeper insight into this structure than that which can be obtained from standard correlation analysis. We present a development platform that merges a rich variety of estimation programs with state of the art visualization techniques.

    Keywords
    System identification, Time-varying systems, Visualization techniques
    National Category
    Engineering and Technology Control Engineering
    Identifiers
    urn:nbn:se:liu:diva-13215 (URN)10.1109/CDC.2004.1429613 (DOI)0-7803-8682-5 (ISBN)
    Conference
    43rd IEEE Conference on Decision and Control, Paradise Island, Bahamas, December, 2004
    Available from: 2008-05-07 Created: 2008-05-07 Last updated: 2013-03-26Bibliographically approved
    7. Depth Cues and Density in Temporal Parallel Coordinates
    Open this publication in new window or tab >>Depth Cues and Density in Temporal Parallel Coordinates
    2007 (English)In: Proceedings of Eurographics/IEEE VGTC Symposium on Visualization, Norrköping, Sweden, Aire-la-Ville, Switzerland: Eurographics Association , 2007, p. 35-42Conference paper, Published paper (Other academic)
    Abstract [en]

    This paper introduces Temporal Density Parallel Coordinates (TDPC) and Depth Cue Parallel Coordinates (DCPC) which extend the standard 2D parallel coordinates technique to capture time-varying dynamics. The proposed techniques can be used to analyse temporal positions of data items as well as temporal positions of changes occurring using 2D displays. To represent temporal changes, polygons (instead of traditional lines) are rendered in parallel coordinates. The results presented show that rendering polygons is superior at revealing large temporal changes. Both TDPC and DCPC have been efficiently implemented on the GPU allowing the visualization of thousands of data items over thousands of time steps at interactive frame rates.

    Place, publisher, year, edition, pages
    Aire-la-Ville, Switzerland: Eurographics Association, 2007
    National Category
    Computer Sciences
    Identifiers
    urn:nbn:se:liu:diva-13216 (URN)10.2312/VisSym/EuroVis07/035-042 (DOI)
    Available from: 2008-05-07 Created: 2008-05-07 Last updated: 2018-01-13
  • 12.
    Johansson, Jimmy
    et al.
    Linköping University, Department of Science and Technology, Visual Information Technology and Applications (VITA). Linköping University, The Institute of Technology.
    Cooper, Matthew
    Linköping University, Department of Science and Technology, Visual Information Technology and Applications (VITA). Linköping University, The Institute of Technology.
    A screen space quality method for data abstraction2008In: Computer graphics forum (Print), ISSN 0167-7055, E-ISSN 1467-8659, Vol. 27, no 3, p. 1039-1046Article in journal (Refereed)
    Abstract [en]

    The rendering of large data sets can result in cluttered displays and non-interactive update rates, leading to time consuming analyses. A straightforward solution is to reduce the number of items, thereby producing an abstraction of the data set. For the visual analysis to remain accurate, the graphical representation of the abstraction must preserve the significant features present in the original data. This paper presents a screen space quality method, based on distance transforms, that measures the visual quality of a data abstraction. This screen space measure is shown to better capture significant visual structures in data, compared with data space measures. The presented method is implemented on the GPU, allowing interactive creation of high quality graphical representations of multivariate data sets containing tens of thousands of items. © 2008 The Eurographics Association and Blackwell Publishing Ltd.

  • 13.
    Johansson, Jimmy
    et al.
    Linköping University, Department of Science and Technology, Visual Information Technology and Applications (VITA). Linköping University, The Institute of Technology.
    Cooper, Matthew
    Linköping University, Department of Science and Technology, Visual Information Technology and Applications (VITA). Linköping University, The Institute of Technology.
    Jern, Mikael
    Linköping University, Department of Science and Technology, Visual Information Technology and Applications (VITA). Linköping University, The Institute of Technology.
    3-Dimensional Display for Clustered Multi-Relational Parallel Coordinates2005In: Proceedings of IEEE International Conference on Information Visualisation, IV05, 6-8 July, 2005, p. 188-193Conference paper (Other academic)
    Abstract [en]

    Analysing multivariate data is a difficult task. Extensive interaction with the data is often necessary and, hence, the analysis can be quite time consuming. In this paper, we introduce a method to allow the user to simultaneously examine the relationships of a single dimension with many others in the data. The single dimension can then be interactively changed to allow the user to quickly examine all possible combinations. This method is achieved by extending the standard parallel coordinate approach to a 3D clustered multi-relational parallel coordinate representation (CMRPC). To aid this method, we use a technique called relation spacing which is used to position the axes according to how 'interesting' the different relations are. We also propose a number of interaction techniques to further facilitate the analysis process.

  • 14.
    Johansson, Jimmy
    et al.
    Linköping University, Department of Science and Technology, Media and Information Technology. Linköping University, Faculty of Science & Engineering.
    Forsell, Camilla
    Linköping University, Department of Science and Technology, Media and Information Technology. Linköping University, Faculty of Science & Engineering.
    Evaluation of Parallel Coordinates: Overview, Categorization and Guidelines for Future Research2016In: IEEE Transactions on Visualization and Computer Graphics, ISSN 1077-2626, E-ISSN 1941-0506, Vol. 22, no 1, p. 579-588Article in journal (Refereed)
    Abstract [en]

    The parallel coordinates technique is widely used for the analysis of multivariate data. During recent decades significant research efforts have been devoted to exploring the applicability of the technique and to expand upon it. resulting in a variety of extensions. Of these many research activities, a surprisingly small number concerns user-centred evaluations investigating actual use and usability issues for different tasks, data and domains. The result is a clear lack of convincing evidence to support and guide uptake by users as well as future research directions. To address these issues this paper contributes a thorough literature survey of what has been done in the area of user-centred evaluation of parallel coordinates. These evaluations are divided into four categories based on characterization of use, derived from the survey. Based on the data from the survey and the categorization combined with the authors experience of working with parallel coordinates, a set of guidelines for future research directions is proposed.

  • 15.
    Johansson, Jimmy
    et al.
    Linköping University, Department of Science and Technology, Media and Information Technology. Linköping University, The Institute of Technology.
    Forsell, Camilla
    Linköping University, Department of Science and Technology, Media and Information Technology. Linköping University, The Institute of Technology.
    Cooper, Matthew
    Linköping University, Department of Science and Technology, Media and Information Technology. Linköping University, The Institute of Technology.
    On the usability of three-dimensional display in parallel coordinates: Evaluating the efficiency of identifying two-dimensional relationships2014In: Information Visualization, ISSN 1473-8716, E-ISSN 1473-8724, Vol. 13, no 1, p. 29-41Article in journal (Refereed)
    Abstract [en]

    In recent years, several different attempts have been made to extend the well-known technique of parallel coordinates using a three-dimensional display. This article presents an evaluation that investigates the performance of the three-dimensional parallel coordinates technique and compares it with standard, two-dimensional parallel coordinates for analysis of two-dimensional relationships. Three-dimensional parallel coordinates, based on parallel planes instead of parallel axes, have been used for many years within the information visualization community for a variety of applications. Despite its quite common use, no formal evaluation detailing its usefulness for different tasks has been conducted. The evaluation presented in this article is the first step towards determining the usefulness of this type of three-dimensional parallel coordinates. The study compared three-dimensional parallel coordinates, using two different axis configurations commonly seen in the literature, with standard two-dimensional parallel coordinates for identification of two-dimensional relationships between variables in multivariate data. This type of task and the relationships to be judged are known to be well supported by two-dimensional parallel coordinates and multi-relational three-dimensional parallel coordinates. The results show that for identification of two-dimensional relationships, two-dimensional parallel coordinates are superior to the three-dimensional extensions, in terms of both response time and accuracy. Subjective opinions were also in favour of two-dimensional parallel coordinates. This study adds to the much-needed body of work examining the usability of three-dimensional representations in information visualization and for what tasks and data a proposed method is or is not appropriate.

  • 16.
    Johansson, Jimmy
    et al.
    Linköping University, Department of Science and Technology, Visual Information Technology and Applications (VITA). Linköping University, The Institute of Technology.
    Forsell, Camilla
    Linköping University, Department of Science and Technology, Visual Information Technology and Applications (VITA). Linköping University, The Institute of Technology.
    Lind, Mats
    Uppsala University.
    Cooper, Matthew
    Linköping University, Department of Science and Technology, Visual Information Technology and Applications (VITA). Linköping University, The Institute of Technology.
    Perceiving Patterns in Parallel Coordinates: Determining Thresholds for Identification of Relationships2008In: Information Visualization, ISSN 1473-8716, E-ISSN 1473-8724, Vol. 7, no 2, p. 152-162Article in journal (Refereed)
    Abstract [en]

    This article presents a study that investigates the ability of humans to perceive relationships (patterns) in parallel coordinates, an ability that is crucial to the use of this popular visualization technique. It introduces a visual quality metric, acceptable distortions of patterns, which establishes the level of noise that may be present in data while allowing accurate identification of patterns. This metric was used to assess perceptual performance of standard 2D parallel coordinates and multi-relational 3D parallel coordinates in two experiments. In multi-relational 3D parallel coordinates the axes are placed on a circle with a focus axis in the centre, allowing a simultaneous analysis between the focus variable and all other variables. The experiments aimed to determine the maximum number of variables that can be, from a user's point of view, efficiently used in a multi-relational 3D parallel coordinates display and to present a first attempt to study users' ability to analyse noisy data in parallel coordinates. The results show that, in terms of the acceptable level of noise in data, a multi-relational 3D parallel coordinates visualization having 11 axes (variables) is as efficient as standard 2D parallel coordinates. Visualizing a larger number of variables would possibly require a greater amount of manipulation of the visualization and thus be less efficient.

  • 17.
    Johansson, Jimmy
    et al.
    Linköping University, Department of Science and Technology, Visual Information Technology and Applications (VITA). Linköping University, The Institute of Technology.
    Lindgren, David
    Linköping University, Department of Electrical Engineering, Automatic Control. Linköping University, The Institute of Technology.
    Cooper, Matthew
    Linköping University, Department of Science and Technology, Visual Information Technology and Applications (VITA). Linköping University, The Institute of Technology.
    Ljung, Lennart
    Linköping University, Department of Electrical Engineering, Automatic Control. Linköping University, The Institute of Technology.
    Interactive Analysis of Time-Varying Systems Using Volume Graphics2004In: Proceedings of the 43rd IEEE Conference on Decision and Control, 2004, p. 5083-5087Conference paper (Refereed)
    Abstract [en]

    We show how 3-dimensional volume graphics can be used as a tool in system identification. Time-dependent dynamics often leave a significant residual with linear, time-invariant models. The structure of this residual is decisive for the subsequent modelling, and by using advanced visualization techniques, the modeller may gain a deeper insight into this structure than that which can be obtained from standard correlation analysis. We present a development platform that merges a rich variety of estimation programs with state of the art visualization techniques.

  • 18.
    Johansson, Jimmy
    et al.
    Linköping University, Department of Science and Technology, Visual Information Technology and Applications (VITA). Linköping University, The Institute of Technology.
    Lindgren, David
    Linköping University, Department of Electrical Engineering, Automatic Control. Linköping University, The Institute of Technology.
    Cooper, Matthew
    Linköping University, Department of Science and Technology, Visual Information Technology and Applications (VITA). Linköping University, The Institute of Technology.
    Ljung, Lennart
    Linköping University, Department of Electrical Engineering, Automatic Control. Linköping University, The Institute of Technology.
    Interactive Visualization as a Tool for Analysing Time-Varying and Non-Linear Systems2005In: Proceedings of the 16th IFAC World Congress, 2005, p. 95-95Conference paper (Refereed)
    Abstract [en]

    This paper shows how 3-dimensional interactive visualization can be used as a tool in system identification. Non-linear or time-dependent dynamics often leave a significant residual with linear, time-invariant models. The structure of this residual is decisive for the subsequent modelling, and by using advanced visualization techniques, the modeller may gain a deeper insight into this structure than can be obtained by standard correlation analysis.

  • 19.
    Johansson, Jimmy
    et al.
    Linköping University, Department of Science and Technology, Visual Information Technology and Applications (VITA). Linköping University, The Institute of Technology.
    Ljung, Patric
    Linköping University, Department of Science and Technology, Visual Information Technology and Applications (VITA). Linköping University, The Institute of Technology.
    Cooper, Matthew
    Linköping University, Department of Science and Technology, Visual Information Technology and Applications (VITA). Linköping University, The Institute of Technology.
    Depth Cues and Density in Temporal Parallel Coordinates2007In: EUROVIS'07 Proceedings of the 9th Joint Eurographics / IEEE VGTC Symposium on Visualization, Aire-la-Ville, Switzerland: Eurographics - European Association for Computer Graphics, 2007, p. 35-42Conference paper (Other academic)
    Abstract [en]

    This paper introduces Temporal Density Parallel Coordinates (TDPC) and Depth Cue Parallel Coordinates (DCPC) which extend the standard 2D parallel coordinates technique to capture time-varying dynamics. The proposed techniques can be used to analyse temporal positions of data items as well as temporal positions of changes occurring using 2D displays. To represent temporal changes, polygons (instead of traditional lines) are rendered in parallel coordinates. The results presented show that rendering polygons is superior at revealing large temporal changes. Both TDPC and DCPC have been efficiently implemented on the GPU allowing the visualization of thousands of data items over thousands of time steps at interactive frame rates.

  • 20.
    Johansson, Jimmy
    et al.
    Linköping University, Department of Science and Technology, Visual Information Technology and Applications (VITA). Linköping University, The Institute of Technology.
    Ljung, Patric
    Linköping University, Department of Science and Technology, Visual Information Technology and Applications (VITA). Linköping University, The Institute of Technology.
    Cooper, Matthew
    Linköping University, Department of Science and Technology, Visual Information Technology and Applications (VITA). Linköping University, The Institute of Technology.
    Depth Cues and Density in Temporal Parallel Coordinates2007In: Proceedings of Eurographics/IEEE VGTC Symposium on Visualization, Norrköping, Sweden, Aire-la-Ville, Switzerland: Eurographics Association , 2007, p. 35-42Conference paper (Other academic)
    Abstract [en]

    This paper introduces Temporal Density Parallel Coordinates (TDPC) and Depth Cue Parallel Coordinates (DCPC) which extend the standard 2D parallel coordinates technique to capture time-varying dynamics. The proposed techniques can be used to analyse temporal positions of data items as well as temporal positions of changes occurring using 2D displays. To represent temporal changes, polygons (instead of traditional lines) are rendered in parallel coordinates. The results presented show that rendering polygons is superior at revealing large temporal changes. Both TDPC and DCPC have been efficiently implemented on the GPU allowing the visualization of thousands of data items over thousands of time steps at interactive frame rates.

  • 21.
    Johansson, Jimmy
    et al.
    Linköping University, Department of Science and Technology, Visual Information Technology and Applications (VITA). Linköping University, The Institute of Technology.
    Ljung, Patric
    Linköping University, Department of Science and Technology, Visual Information Technology and Applications (VITA). Linköping University, The Institute of Technology.
    Jern, Mikael
    Linköping University, Department of Science and Technology, Visual Information Technology and Applications (VITA). Linköping University, The Institute of Technology.
    Cooper, Matthew
    Linköping University, Department of Science and Technology, Visual Information Technology and Applications (VITA). Linköping University, The Institute of Technology.
    Revealing Structure in Visualizations of Dense 2D and 3D Parallel Coordinates2006In: Information Visualization, ISSN 1473-8716, Vol. 5, no 2, p. 125-136Article in journal (Refereed)
    Abstract [en]

    Parallel coordinates is a well-known technique used for visualization of multivariate data. When the size of the data sets increases the parallel coordinates display results in an image far too cluttered to perceive any structure. We tackle this problem by constructing high-precision textures to represent the data. By using transfer functions that operate on the high-precision textures, it is possible to highlight different aspects of the entire data set or clusters of the data. Our methods are implemented in both standard 2D parallel coordinates and 3D multi-relational parallel coordinates. Furthermore, when visualizing a larger number of clusters, a technique called 'feature animation' may be used as guidance by presenting various cluster statistics. A case study is also performed to illustrate the analysis process when analysing large multivariate data sets using our proposed techniques.

  • 22.
    Johansson, Jimmy
    et al.
    Linköping University, Department of Science and Technology, Visual Information Technology and Applications (VITA). Linköping University, The Institute of Technology.
    Ljung, Patric
    Linköping University, Department of Science and Technology, Visual Information Technology and Applications (VITA). Linköping University, The Institute of Technology.
    Jern, Mikael
    Linköping University, Department of Science and Technology, Visual Information Technology and Applications (VITA). Linköping University, The Institute of Technology.
    Cooper, Matthew
    Linköping University, Department of Science and Technology, Visual Information Technology and Applications (VITA). Linköping University, The Institute of Technology.
    Revealing Structure within Clustered Parallel Coordinates Displays2005In: Proceedings of IEEE Symposium on Information Visualization, 23-25 Oct., 2005, p. 125-132Conference paper (Other academic)
    Abstract [en]

    In order to gain insight into multivariate data, complex structures must be analysed and understood. Parallel coordinates is an excellent tool for visualizing this type of data but has its limitations. This paper deals with one of its main limitations - how to visualize a large number of data items without hiding the inherent structure they constitute. We solve this problem by constructing clusters and using high precision textures to represent them. We also use transfer functions that operate on the high precision textures in order to highlight different aspects of the cluster characteristics. Providing predefined transfer functions as well as the support to draw customized transfer functions makes it possible to extract different aspects of the data. We also show how feature animation can be used as guidance when simultaneously analysing several clusters. This technique makes it possible to visually represent statistical information about clusters and thus guides the user, making the analysis process more efficient.

  • 23.
    Johansson, Jimmy
    et al.
    Linköping University, Department of Science and Technology, Media and Information Technology. Linköping University, Faculty of Science & Engineering. Linköping University, Center for Medical Image Science and Visualization (CMIV).
    Ljung, Patric
    Linköping University, Department of Science and Technology, Media and Information Technology. Linköping University, Faculty of Science & Engineering. Linköping University, Center for Medical Image Science and Visualization (CMIV).
    Lindgren, David
    Linköping University, Department of Electrical Engineering, Automatic Control. Linköping University, Faculty of Science & Engineering. Linköping University, Center for Medical Image Science and Visualization (CMIV).
    Cooper, Matthew
    Linköping University, Department of Science and Technology, Media and Information Technology. Linköping University, Faculty of Science & Engineering. Linköping University, Center for Medical Image Science and Visualization (CMIV).
    Interactive Visualization Approaches to the Analysis of System Identification Data2004In: Information Visualization, 2004. INFOVIS 2004. IEEE Symposium on, 2004Conference paper (Refereed)
    Abstract [en]

    We propose an interactive visualization approach to finding a mathematical model for a real world process, commonly known in the field of control theory as system identification. The use of interactive visualization techniques provides the modeller with instant visual feedback which facilitates the model validation process. When working interactively with such large data sets, as are common in system identification, methods to handle this data efficiently are required. We are developing approaches based on data streaming to´meet this need.

  • 24.
    Johansson, Jimmy
    et al.
    Linköping University, Department of Science and Technology, Media and Information Technology. Linköping University, The Institute of Technology.
    Navarra, Carlo
    Linköping University, The Tema Institute, Tema Environmental Change. Linköping University, Faculty of Arts and Sciences.
    Neset, Tina
    Linköping University, The Tema Institute, Tema Environmental Change. Linköping University, Faculty of Arts and Sciences.
    Erik, Glaas
    Tomasz, Opach
    Norwegian University of Science and Technology.
    Linnér, Björn-Ola
    Linköping University, The Tema Institute, Tema Environmental Change. Linköping University, Faculty of Arts and Sciences.
    VisAdapt—Increasing Nordic Houseowners' Adaptive Capacity to Climate Change2004Conference paper (Refereed)
  • 25.
    Johansson, Jimmy
    et al.
    Linköping University, Department of Science and Technology, Media and Information Technology. Linköping University, Faculty of Science & Engineering.
    Navarra, Carlo
    Linköping University, Department of Thematic Studies, Tema Environmental Change. Linköping University, Faculty of Arts and Sciences.
    Schmid Neset, Tina
    Linköping University, Department of Thematic Studies, Tema Environmental Change. Linköping University, Faculty of Arts and Sciences.
    Glaas, Erik
    Linköping University, Department of Thematic Studies, Tema Environmental Change. Linköping University, Faculty of Arts and Sciences.
    Opach, Tomasz
    Linköping University, Department of Thematic Studies, Tema Environmental Change. Linköping University, Faculty of Arts and Sciences. Norwegian University of Science and Technology, Norway.
    Björn-Ola, Linnér
    Linköping University, Department of Thematic Studies, Tema Environmental Change. Linköping University, Faculty of Arts and Sciences.
    VisAdapt-Increasing Nordic Houseowners' Adaptive Capacity to Climate Change2014In: 2014 IEEE Conference on Visual Analytics Science and Technology (VAST) / [ed] Min Chen, David Ebert, Chris North, Institute of Electrical and Electronics Engineers (IEEE), 2014, p. 255-256Conference paper (Refereed)
    Abstract [en]

    This poster presents the design and implementation of the web-based visual analytics tool VisAdapt which allows houseowners in the Nordic countries to assess potential climate related risk factors that may have an impact on their living conditions, and to get an overview of existing guidelines of how to adapt to climate change and extreme weather effects.

  • 26.
    Johansson, Jimmy
    et al.
    Linköping University, Department of Science and Technology, Media and Information Technology. Linköping University, The Institute of Technology.
    Schmid Neset, Tina
    Linköping University, The Tema Institute, Centre for Climate Science and Policy Research . Linköping University, The Tema Institute, Department of Water and Environmental Studies. Linköping University, Faculty of Arts and Sciences.
    Linnér, Björn-Ola
    Linköping University, The Tema Institute, Centre for Climate Science and Policy Research . Linköping University, The Tema Institute, Department of Water and Environmental Studies. Linköping University, Faculty of Arts and Sciences.
    Evaluating Climate Visualization: An Information Visualization Approach2010In: Proceedings of the 14th IEEE International Conference on Information Visualization, IV10, IEEE Communications Society, 2010, p. 156-161Conference paper (Refereed)
    Abstract [en]

    To meet the growing demand of communicating climate science and policy research, the interdisciplinary field of climate visualization has increasingly extended its traditional use of 2D representations and techniques from the field of scientific visualization to include information visualization for the creation of highly interactive tools for both spatial and abstract data. This paper provides an initial discussion on the need and design of evaluations for climate visualization. We report on previous experiences and identify how evaluation methods commonly used in information visualization can be used in climate visualization to increase our understanding of visualization techniques and tools.

  • 27.
    Johansson, Jimmy
    et al.
    Linköping University, Department of Science and Technology, Visual Information Technology and Applications (VITA). Linköping University, The Institute of Technology.
    Treloar, R.
    Unilever Research, UK.
    Jern, Mikael
    Linköping University, Department of Science and Technology, Visual Information Technology and Applications (VITA). Linköping University, The Institute of Technology.
    Integration of unsupervised clustering, interaction and parallel coordinates for the exploration of large multivariate data2004In: 8th International Conference on Information Visualization IV04,2004, s Alamitos, CA, USA: IEEE Computer Society , 2004, p. 52-Conference paper (Refereed)
  • 28.
    Johansson, Sara
    et al.
    Linköping University, Department of Science and Technology, Visual Information Technology and Applications (VITA). Linköping University, The Institute of Technology.
    Jern, Mikael
    Linköping University, Department of Science and Technology, Visual Information Technology and Applications (VITA). Linköping University, The Institute of Technology.
    Johansson, Jimmy
    Linköping University, Department of Science and Technology, Visual Information Technology and Applications (VITA). Linköping University, The Institute of Technology.
    Interactive Quantification of Categorical Variables in Mixed Data Sets2008In: Information Visualisation, 2008. IV '08. 12th International Conference / [ed] Ebad Banissi, Liz Stuart, Mikael Jern, Gennady Andrienko, Francis T. Marchese, Nasrullah Memon, Reda Alhajj, Theodor G Wyeld, Remo Aslak Burkhard, Georges Grinstein, Dennis Groth, Anna Ursyn, Carsten Maple, Anthony Faiola and Brock Craft, Los Alamitos, California: IEEE Computer Society, 2008, p. 3-10Conference paper (Refereed)
    Abstract [en]

    Data sets containing a combination of categorical and continuous variables (mixed data sets) are difficult to analyse since no generalized similarity measure exists for categorical variables. Quantification of categorical variables makes it possible to represent this type of data using techniques designed for numerical data. This paper presents a quantification process of categorical variables in mixed data sets that incorporates information on relationships among the continuous variables into the process, as well as utilizing the domain knowledge of a user. An interactive visualization environment using parallel coordinates as a visual interface is provided, where the user is able to control the quantification process and analyse the result. The efficiency of the approach is demonstrated using two mixed data sets.

  • 29.
    Johansson, Sara
    et al.
    Linköping University, Department of Science and Technology, Visual Information Technology and Applications (VITA). Linköping University, The Institute of Technology.
    Johansson, Jimmy
    Linköping University, Department of Science and Technology, Visual Information Technology and Applications (VITA). Linköping University, The Institute of Technology.
    Interactive Dimensionality Reduction Through User-defined Combinations of Quality Metrics2009In: IEEE Transactions on Visualization and Computer Graphics, ISSN 1077-2626, E-ISSN 1941-0506, Vol. 15, no 6, p. 993-1000Article in journal (Refereed)
    Abstract [en]

    Multivariate data sets including hundreds of variables are increasingly common in many application areas. Most multivariate visualization techniques are unable to display such data effectively, and a common approach is to employ dimensionality reduction prior to visualization. Most existing dimensionality reduction systems focus on preserving one or a few significant structures in data. For many analysis tasks, however, several types of structures can be of high significance and the importance of a certain structure compared to the importance of another is often task-dependent. This paper introduces a system for dimensionality reduction by combining user-defined quality metrics using weight functions to preserve as many important structures as possible. The system aims at effective visualization and exploration of structures within large multivariate data sets and provides enhancement of diverse structures by supplying a range of automatic variable orderings. Furthermore it enables a quality-guided reduction of variables through an interactive display facilitating investigation of trade-offs between loss of structure and the number of variables to keep. The generality and interactivity of the system is demonstrated through a case scenario.

  • 30.
    Johansson, Sara
    et al.
    Linköping University, Department of Science and Technology, Visual Information Technology and Applications (VITA). Linköping University, The Institute of Technology.
    Johansson, Jimmy
    Linköping University, Department of Science and Technology, Visual Information Technology and Applications (VITA). Linköping University, The Institute of Technology.
    Visual Analysis of Mixed Data Sets Using Interactive Quantification2009In: ACM SIGKDD Explorations Newsletter, ISSN 1931-0145, Vol. 11, no 2, p. 29-38Article in journal (Refereed)
    Abstract [en]

    It is often diffcult to analyse data sets including a combi-nation of categorical and numerical variables (mixed datasets) since there does not exist any similarity measure whichis as straight forward and general as the numerical distancebetween numerical items. Quantication of categorical vari-ables enables analysis using commonly used visual represen-tations and analysis techniques for numerical data. Thispaper presents a tool for exploratory analysis of categoricaland mixed data which uses a quantication process intro-duced in [Johansson2008]. The application enables analysis of mixeddata sets by providing an environment for exploratory anal-ysis using common visual representations in multiple coordi-nated views and algorithmic analysis that facilitates detec-tion of potentially interesting patterns within combinationsof categorical and numerical variables. The generality andusefulness of the quantication process and of the featuresof the application is demonstrated through a case scenariousing a data set from the IEEE VAST 2008 Challenge.

  • 31.
    Johansson, Sara
    et al.
    Linköping University, Department of Science and Technology, Visual Information Technology and Applications (VITA). Linköping University, The Institute of Technology.
    Knaving, Kristina
    Linköping University, Department of Science and Technology, Visual Information Technology and Applications (VITA). Linköping University, The Institute of Technology.
    Lane, Amanda
    Unilever R&D, Port Sunlight, United Kingdom.
    Jern, Mikael
    Linköping University, Department of Science and Technology, Visual Information Technology and Applications (VITA). Linköping University, The Institute of Technology.
    Johansson, Jimmy
    Linköping University, Department of Science and Technology, Visual Information Technology and Applications (VITA). Linköping University, The Institute of Technology.
    Interactive Exploration of Ingredient Mixtures Using Multiple Coordinated Views2009In: Proceedings Information Visualization, IV 2009, Los Alamitos, CA, USA: IEEE Computer Society, 2009, p. 210-218Conference paper (Refereed)
    Abstract [en]

    The complex nature of multivariate data sets calls forhigh interactive performance and intuitive metaphors. Aspecific type of multivariate data is where the variables sum up to a constant, here defined as multicomponent data.This application paper presents an interactive applicationfor analysis of modelled multicomponent data. The aim isto find high performance variable combinations that fulfil some requested properties. The application is basedon coordinated views that include parallel coordinates, a ternary diagram, a 2D scatter plot and a line plot. It supports numerous interaction techniques enabling fast analysisof complex patterns in multicomponent data sets. The application is developed in collaboration with researchers within the fields of statistics and chemistry. An informal usability evaluation indicates that the interactive nature ofthe application clearly facilitates the analysis process.

  • 32.
    Lind, Mats
    et al.
    Department of Information Science, Uppsala University, Sweden.
    Johansson, Jimmy
    Linköping University, Department of Science and Technology, Visual Information Technology and Applications (VITA). Linköping University, The Institute of Technology.
    Cooper, Matthew
    Linköping University, Department of Science and Technology, Visual Information Technology and Applications (VITA). Linköping University, The Institute of Technology.
    Many-to-Many Relational Parallel Coordinates Displays2009In: Information Visualisation: IV 2009 / [ed] Ebad Banissi et al., Los Alamitos, CA, USA: IEEE Computer Society, 2009, p. 25-31Conference paper (Refereed)
    Abstract [en]

    An interesting property of the commonly used parallel coordinates display is the distinct overall pattern formed by the totality of lines between adjacent axes. These patterns have a direct correspondence to the type of relationship existing between the variables mapped onto the axes in question as well as a salient visual appearance. Parallel coordinates displays can therefore be used to visually investigate relationships between variables as well as investigating individual objects/lines. The problem with this approach is that, whereas each object is mapped in its entirety in a standard parallel coordinates display, only a small subset of the interrelations between variables is shown as the number of variables increase. To show all possible relations between variables multiple parallel coordinates displays are needed. In turn this means that each variable is duplicated several times, once per extra parallel coordinates display. To a viewer this increases the visual complexity and most probably the mental load. To aid users we have devised a new configuration of the axes in multiple parallel coordinates displays. Through an experiment we have also started to investigate the usability of this new configuration and the results are promising.

  • 33.
    Lindgren, David
    et al.
    Linköping University, Department of Electrical Engineering, Automatic Control. Linköping University, The Institute of Technology.
    Johansson, Jimmy
    Linköping University, Department of Science and Technology, Visual Information Technology and Applications (VITA). Linköping University, The Institute of Technology.
    Ljung, Patric
    Linköping University, Department of Science and Technology, Visual Information Technology and Applications (VITA). Linköping University, The Institute of Technology.
    Cooper, Matthew
    Linköping University, Department of Science and Technology, Visual Information Technology and Applications (VITA). Linköping University, The Institute of Technology.
    Interactive Visualization Approaches to the Analysis of System Identification Data2004In: Proceedings of the 10th IEEE Symposium on Information Visualization, 2004, p. 23-Conference paper (Refereed)
    Abstract [en]

    We propose an interactive visualization approach to finding a mathematical model for a real world process, commonly known in the field of control theory as system identification. The use of interactive visualization techniques provides the modeller with instant visual feedback which facilitates the model validation process. When working interactively with such large data sets, as are common in system identification, methods to handle this data efficiently are required. We are developing approaches based on data streaming to meet this need.

  • 34.
    Lundberg, Jonas
    et al.
    Linköping University, Department of Science and Technology, Media and Information Technology. Linköping University, Faculty of Science & Engineering.
    Forsell, Camilla
    Linköping University, Department of Science and Technology, Media and Information Technology. Linköping University, Faculty of Science & Engineering.
    Johansson, Jimmy
    Linköping University, Department of Science and Technology, Media and Information Technology. Linköping University, Faculty of Science & Engineering.
    Josefsson, Billy
    Air Navigation Services of Sweden.
    AMPLIFY ATM TEAMWORK WITH AUTOMATION: An Eye Tracking Study of Air Traffic Management Tools on Two Large Displays During Regular ATM Simulator Training2013Conference paper (Other academic)
  • 35.
    Lundberg, Jonas
    et al.
    Linköping University, Department of Science and Technology, Media and Information Technology. Linköping University, The Institute of Technology.
    Johansson, Jimmy
    Linköping University, Department of Science and Technology, Media and Information Technology. Linköping University, The Institute of Technology.
    Forsell, Camilla
    Linköping University, Department of Science and Technology, Media and Information Technology. Linköping University, The Institute of Technology.
    Josefsson, Billy
    The Use of Conflict Detection Tools in Air Traffic Management – an Unobtrusive Eye Tracking Field Experiment During Controller Competence Assurance2014In: HCI-Aero 2014 - International Conference on Human-Computer Interaction in Aerospace, Mountain View, CA, USA, 2014Conference paper (Refereed)
    Abstract [en]

    This study aims at explaining loss of separation events over the Swedish air space in 2011- 2012, which occurred despite an automated conflict detection tool working as designed. The study suggests that there may be a trade-off between spending visual scan time on own conflict detection versus visual scan time spent on examining potential conflicts presented by the conflict detection automation. The issue is hard to solve, and is unfortunately far from resolved. This area of research requires a substantial applied research effort, if the goal is to both increase safety and capacity of ATM through the use of automation.

  • 36.
    Lundblad, Patrik
    et al.
    Linköping University, Department of Science and Technology, Media and Information Technology. Linköping University, The Institute of Technology. Swedish Meteorological and Hydrological Institute, Norrkköping, Sweden.
    Löfving, Hanna
    Linköping University, Department of Science and Technology, Media and Information Technology. Linköping University, The Institute of Technology.
    Elovsson, Annika
    Linköping University, Department of Science and Technology, Media and Information Technology. Linköping University, The Institute of Technology.
    Johansson, Jimmy
    Linköping University, Department of Science and Technology, Media and Information Technology. Linköping University, The Institute of Technology.
    Exploratory Visualization for Weather Data Verification2011In: Proceedings of the 15th Information Visualisation (IV), 2011, IEEE , 2011, p. 306-313Conference paper (Refereed)
    Abstract [en]

    Today weather forecasts assist in the preparation of roads during the winter season to avoid accidents resulting from snow, rain and slipperiness. As with any weather forecast there is always a search for improvement. One way to do this is by verifying the forecasted parameters with the actual weather observed in the forecasted area. To facilitate identification of significant trends and patterns within weather data we have developed an application based on interactive information visualization techniques. The application was created in close collaboration with domain experts from the Swedish Meteorological and Hydrological Institute and initial feedback from a performed user study shows that interactive visualization speeds up the analysis process as well as increases flexibility compared to currently used manual methods.

  • 37.
    Mikkelsen, Christine
    et al.
    Linköping University, Department of Science and Technology, Media and Information Technology. Linköping University, The Institute of Technology.
    Johansson, Jimmy
    Linköping University, Department of Science and Technology, Media and Information Technology. Linköping University, The Institute of Technology.
    Rissanen, Mikko
    Ind. Software Syst., ABB Corp. Res., Västerås.
    Interactive Information Visualization for Sensemaking in Power Grid Supervisory Systems2011In: Proceedings - 15th International Conferenceon Information Visualisation, Los Alamitos, CA, USA: IEEE Computer Society, 2011, p. 119-126Conference paper (Refereed)
    Abstract [en]

    Operators of power grid supervisory control systems have to gather information from a wide variety of views to build situation awareness. Findings from a conducted field study show that this task is challenging and cognitively demanding. Visualization research for power grid supervisory control systems has focused on developing new visualization techniques for representing one aspect of the power system data. Little work has been done to demonstrate how information visualization techniques can support the operator in the sense making process to achieve situation awareness. To fill this gap, and with support from a field study, we propose solutions based on multiple and coordinated views, visual interactive filtering and parallel coordinates.

  • 38.
    Neset, Tina
    et al.
    Linköping University, The Tema Institute, Department of Water and Environmental Studies. Linköping University, Faculty of Arts and Sciences.
    Johansson, Jimmy
    Linköping University, Department of Science and Technology, Visual Information Technology and Applications (VITA). Linköping University, The Institute of Technology.
    Linnér, Björn-Ola
    Linköping University, The Tema Institute, Centre for Climate Science and Policy Research . Linköping University, The Tema Institute, Department of Water and Environmental Studies. Linköping University, Faculty of Arts and Sciences.
    State of Climate Visualization2009Report (Other academic)
    Abstract [en]

    In a time of global change and global resource constraints the academic community is constantly seeking new ways of communicating current research to inform the public and create a basis for decision making on an individual to global scale. For climate researchers, this challenge is pertinent, given the vast amount of information regarding issues, such as emissions, scenarios, trends, risks and options for mitigation and adaptation that flows through media every day. To create a solid representation of research data and scenarios as well as what impacts of climate change could imply in different regions, climate researchers have over the past years started to collaborate with designers and researchers within the field of visualization. Applications assisting data analysis as well as geospatial and abstract visual representations bear great potential for future research and science communication. We are referring to this transdisciplinary field of research and science communication as climate visualization.

  • 39.
    Neset, Tina- Simone
    et al.
    Linköping University, The Tema Institute, Tema Environmental Change. Linköping University, Faculty of Arts and Sciences.
    Opach, Tomasz
    Norwegian University of Science and Technology, Norway.
    Lion, Peter
    Linköping University, Faculty of Arts and Sciences.
    Lilja, Anna
    Swedish Meteorol and Hydrol Institute, Sweden.
    Johansson, Jimmy
    Linköping University, Department of Science and Technology, Media and Information Technology. Linköping University, Faculty of Science & Engineering.
    Map-Based Web Tools Supporting Climate Change Adaptation2016In: Professional Geographer, ISSN 0033-0124, E-ISSN 1467-9272, Vol. 68, no 1, p. 103-114Article in journal (Refereed)
    Abstract [en]

    This article discusses the state of the art in geovisualization supporting climate change adaptation. We reviewed twenty selected map-based Web tools, classified by their content and functionality, and assessed them by visual representations, interactive functions, information type, target audience, and how vulnerability and adaptation to climate change are addressed. Our study concludes that the tools (1) can be classified as data viewers with basic functionality and data explorers offering more sophisticated interactive functions; (2) mostly feature moderate or high richness of data content; and (3) predominantly target expert users.

  • 40.
    Neset, Tina-Simone
    et al.
    Linköping University, The Tema Institute, Tema Environmental Change. Linköping University, Faculty of Arts and Sciences.
    Opach, Tomasz
    Linköping University, The Tema Institute, Tema Environmental Change. Linköping University, Faculty of Arts and Sciences. Norwegian University of Science and Technology, Norway.
    Lilja, Anna
    SMHI.
    Lion, Peter
    Johansson, Jimmy
    Linköping University, Department of Science and Technology, Media and Information Technology. Linköping University, The Institute of Technology.
    Map-Based Web Tools for Climate Change AdaptationIn: Professional Geographer, ISSN 0033-0124, E-ISSN 1467-9272Article in journal (Refereed)
  • 41.
    Schmid Neset, Tina-Simone
    et al.
    Linköping University, The Tema Institute, Centre for Climate Science and Policy Research . Linköping University, The Tema Institute, Department of Water and Environmental Studies. Linköping University, Faculty of Arts and Sciences.
    Wibeck, Victoria
    Linköping University, The Tema Institute, Centre for Climate Science and Policy Research . Linköping University, The Tema Institute, Department of Water and Environmental Studies. Linköping University, Faculty of Arts and Sciences.
    Uhrqvist, Ola
    Linköping University, The Tema Institute, Centre for Climate Science and Policy Research . Linköping University, The Tema Institute, Department of Water and Environmental Studies. Linköping University, Faculty of Arts and Sciences.
    Johansson, Jimmy
    Linköping University, Department of Science and Technology, Media and Information Technology. Linköping University, The Institute of Technology.
    Visualizing climate change: the potential of dome presentations as a tool for climate communication2010In: Eurographics 2010 - Areas Papers / [ed] M. Cooper and K. Pulli, Eurographics - European Association for Computer Graphics, 2010, Vol. 12/2009, p. 31-35Conference paper (Other academic)
    Abstract [en]

    This study presents the outline of a climate visualization programme directed to various target groups that was presented in a dome environment. The efforts of climate and visualization researchers to jointly develop presentations for immersive environments on the cause and effect of climate change as well as potential responses both in terms of national and international policy as well as individuals’ lifestyles are described. Further we discuss the results of an evaluation with 64 participants of dome presentations. The results point towards an initial support for the dome visualization in terms of increased engagement of the audience. Further, visual representations such as choice of colouring and volume bar charts that were expected to be problematic by the research group were considered straightforward by the audience. In this paper we discuss visual representation and climate communication, and to what extent climate visualization in a dome environment can contribute to enhance the audience’s understanding of the complexity of climate change issues

  • 42.
    Stenliden, Linnéa
    et al.
    Linköping University, Department of Social and Welfare Studies, Learning, Aesthetics, Natural science. Linköping University, Faculty of Educational Sciences.
    Johansson, Jimmy
    Linköping University, Department of Science and Technology, Media and Information Technology. Linköping University, Faculty of Science & Engineering.
    Nissen, Jörgen
    Linköping University, Department of Social and Welfare Studies, Learning, Aesthetics, Natural science. Linköping University, Faculty of Educational Sciences.
    Visual Data and K 12 Students - Translations Through Visual Analytics and Knowledge Visualization2015In: ICERI2015 Proceedings: 8th International Conference of Education, Research and Innovation / [ed] L. Gómez Chova, A. López Martínez and I. Candel Torres, International Academy of Technology, Education and Development (IATED) , 2015, p. 5189-5198Conference paper (Other academic)
    Abstract [en]

    In a world of massively mediated information and communication, ordinary educational models might fail in both using those tools to improve education and to prepare the students for their future. Therefore this on-going research project investigates how a Visual Analytics (VA) and tools for Knowledge Visualization (KV) in school settings (within social science as school subject) could be combined to generate synergies in a learning process which not only aims at unveiling hidden facts but also to develop knowledge that includes all its accompanying facets such as experiences, attitudes, perspectives and opinions. The aim is to explain how VA together with KV interfere and can shape learning in social science classes in K 12 schools (from visualization on the screens to a growing body of personal knowledge). Another aim is to develop guidelines for didactic design and develop a web-based information visualization and visual analytics framework for educational purposes. The study is conducted in K 12 schools and empirical data is gathered through three case studies. The results will contribute to knowledge about visual literacy and its relations to different didactic designs. Researchers in the field of VA and KV can as well be supported in their questions to construct useful tools for these kind of analyse processes and different ways of knowledge formation.

  • 43.
    Tominski, Christian
    et al.
    University of Rostock, Germany .
    Forsell, Camilla
    Linköping University, Department of Science and Technology, Media and Information Technology. Linköping University, The Institute of Technology.
    Johansson, Jimmy
    Linköping University, Department of Science and Technology, Media and Information Technology. Linköping University, The Institute of Technology.
    Interaction Support for Visual Comparison Inspired by Natural Behavior2012In: IEEE Transactions on Visualization and Computer Graphics, ISSN 1077-2626, E-ISSN 1941-0506, Vol. 18, no 12, p. 2719-2728Article in journal (Refereed)
    Abstract [en]

    Visual comparison is an intrinsic part of interactive data exploration and analysis. The literature provides a large body of existing solutions that help users accomplish comparison tasks. These solutions are mostly of visual nature and custom-made for specific data. We ask the question if a more general support is possible by focusing on the interaction aspect of comparison tasks. As an answer to this question, we propose a novel interaction concept that is inspired by real-world behavior of people comparing information printed on paper. In line with real-world interaction, our approach supports users (1) in interactively specifying pieces of graphical information to be compared, (2) in flexibly arranging these pieces on the screen, and (3) in performing the actual comparison of side-by-side and overlapping arrangements of the graphical information. Complementary visual cues and add-ons further assist users in carrying out comparison tasks. Our concept and the integrated interaction techniques are generally applicable and can be coupled with different visualization techniques. We implemented an interactive prototype and conducted a qualitative user study to assess the concepts usefulness in the context of three different visualization techniques. The obtained feedback indicates that our interaction techniques mimic the natural behavior quite well, can be learned quickly, and are easy to apply to visual comparison tasks.

  • 44.
    Vrotsou, Katerina
    et al.
    Linköping University, Department of Science and Technology, Visual Information Technology and Applications (VITA). Linköping University, The Institute of Technology.
    Johansson, Jimmy
    Linköping University, Department of Science and Technology, Visual Information Technology and Applications (VITA). Linköping University, The Institute of Technology.
    Cooper, Matthew
    Linköping University, Department of Science and Technology, Visual Information Technology and Applications (VITA). Linköping University, The Institute of Technology.
    ActiviTree: Interactive Visual Exploration of Sequences in Event-Based Data Using Graph Similarity2009In: IEEE Transactions on Visualization and Computer Graphics, ISSN 1077-2626, E-ISSN 1941-0506, ISSN 1077-2626, Vol. 15, no 6, p. 945-952Article in journal (Refereed)
    Abstract [en]

    The identification of significant sequences in large and complex event-based temporal data is a challenging problem with applications in many areas of todays information intensive society. Pure visual representations can be used for the analysis, but are constrained to small data sets. Algorithmic search mechanisms used for larger data sets become expensive as the data size increases and typically focus on frequency of occurrence to reduce the computational complexity, often overlooking important infrequent sequences and outliers. In this paper we introduce an interactive visual data mining approach based on an adaptation of techniques developed for web searching, combined with an intuitive visual interface, to facilitate user-centred exploration of the data and identification of sequences significant to that user. The search algorithm used in the exploration executes in negligible time, even for large data, and so no pre-processing of the selected data is required, making this a completely interactive experience for the user. Our particular application area is social science diary data but the technique is applicable across many other disciplines.

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