Browsing by Author "Matkovic, Kresimir"

Now showing 1 - 4 of 4
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    Dual Radial Set
    (The Eurographics Association, 2020) Matkovic, Kresimir; Gracanin, Denis; Bardun, Matea; Splechtna, Rainer; Hauser, Helwig; Turkay, Cagatay and Vrotsou, Katerina
    Set-typed data visualizations require novel interactive representations, especially when visualizing multiple set-typed data attributes. The challenge is how to effectively analyze relations between data elements from different set-typed attributes. We build on Radial Set view to support simultaneous visualization of two set-typed attributes. The main contributions include: Dual Radial Set view that supports simultaneous visualization of two groups of sets; an extension of Radial Set view that can display empty sets; and two new view configurations, the equal sector size and the relative-size scaled sectors. The two new view configurations also can be applied to the original Radial Set view. We conducted an informal evaluation using a movies data set as a case study. The evaluation results demonstrate the advantages of the proposed approach.
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    preha: Establishing Precision Rehabilitation with Visual Analytics
    (The Eurographics Association, 2019) Bernold, Georg; Matkovic, Kresimir; Gröller, Eduard; Raidou, Renata Georgia; Kozlíková, Barbora and Linsen, Lars and Vázquez, Pere-Pau and Lawonn, Kai and Raidou, Renata Georgia
    This design study paper describes preha, a novel visual analytics application in the field of in-patient rehabilitation. We conducted extensive interviews with the intended users, i.e., engineers and clinical rehabilitation experts, to determine specific requirements of their analytical process.We identified nine tasks, for which suitable solutions have been designed and developed in the flexible environment of kibana. Our application is used to analyze existing rehabilitation data from a large cohort of 46,000 patients, and it is the first integrated solution of its kind. It incorporates functionalities for data preprocessing (profiling, wrangling and cleansing), storage, visualization, and predictive analysis on the basis of retrospective outcomes. A positive feedback from the first evaluation with domain experts indicates the usefulness of the newly proposed approach and represents a solid foundation for the introduction of visual analytics to the rehabilitation domain.
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    Rumble Flow++ Interactive Visual Analysis of Dota2 Encounters
    (The Eurographics Association, 2021) Weixelbaum, Wilma; Matkovic, Kresimir; Vrotsou, Katerina and Bernard, Jürgen
    In the last decade, the popularity of ESports has grown rapidly. The financial leader in the tournament scene is Dota2, a complex and strategic multiplayer game. Analysis and exploration of game data could lead to better outcomes. Available data resources include the combat log, which logs every event at an atomic level and excels at providing great detail at the expense of readability, and concise third-party summaries that provide little detail. In this paper, we introduce Rumble Flow++, a web-based exploratory analysis application that provides details in an easy-to-understand manner while providing meaningful aggregations. Rumble Flow++ supports exploration and analysis at different levels of granularity. It supports analysis at the level of the entire match, at the level of individual team fights, and at the level of individual heroes. The user can easily switch between levels in a fully interactive environment. Rumble Flow++ provides much more detail than a summary visualization typically uses, and much better readability than an atomic log file.
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    Visual Exploratory Analysis for Multiple T-Maze Studies
    (The Eurographics Association, 2018) Bechtold, Fabrizia; Splechtna, Rainer; Matkovic, Kresimir; Puig Puig, Anna and Schultz, Thomas and Vilanova, Anna and Hotz, Ingrid and Kozlikova, Barbora and Vázquez, Pere-Pau
    Evaluation of spatial learning and memory in rodents is commonly carried out using different maze settings such as the Multiple T-Maze. State-of-the-art analysis is primarily based on statistics of quantitative measures stemming from animal trajectories in a maze, e.g. path length or correct decisions made. Currently trajectories themselves are analyzed and evaluated one at a time and comparison of multiple trajectories is a tedious task. The resulting findings may not fully answer complex questions that behavioral researchers encounter as well, e.g., why do animals behave in a certain way or can atypical behaviour be detected? This paper describes an innovative approach on how exploratory analysis for Multiple T-Maze studies can be enhanced through interactive visual analysis. We explain our solution for analyzing a whole ensemble of data at once and support the finding of orientational characteristics and migration patterns within the ensemble. We also abstract the analysis tasks for Multiple TMaze studies and, based on these tasks, we extend a coordinated multiple views system to support the solving of fundamental problems which behavioral researchers face. Besides views of standard charts we deploy a multi-resolution heat map and the Gate-O-Gon, which is a novel visual element. It gives clues on the animals' general movement orientation and distribution of revisited gates, as well as enhances the discovery of patterns in movement and identifying of irregular behavior. Finally we demonstrate the usefulness of the newly proposed approach using a real life data set consisting of 400 Multiple T-Maze runs.