@article{wagner_kavagait_2018, title = {{KAVAGait}: {Knowledge}-{Assisted} {Visual} {Analytics} for {Clinical} {Gait} {Analysis}}, volume = {25}, url = {https://doi.org/10.1109/TVCG.2017.2785271}, doi = {10/ghppzn}, abstract = {In 2014, more than 10 million people in the US were affected by an ambulatory disability. Thus, gait rehabilitation is a crucial part of health care systems. The quantification of human locomotion enables clinicians to describe and analyze a patient’s gait performance in detail and allows them to base clinical decisions on objective data. These assessments generate a vast amount of complex data which need to be interpreted in a short time period. We conducted a design study in cooperation with gait analysis experts to develop a novel Knowledge-Assisted Visual Analytics solution for clinical Gait analysis (KAVAGait). KAVAGait allows the clinician to store and inspect complex data derived during clinical gait analysis. The system incorporates innovative and interactive visual interface concepts, which were developed based on the needs of clinicians. Additionally, an explicit knowledge store (EKS) allows externalization and storage of implicit knowledge from clinicians. It makes this information available for others, supporting the process of data inspection and clinical decision making. We validated our system by conducting expert reviews, a user study, and a case study. Results suggest that KAVAGait is able to support a clinician during clinical practice by visualizing complex gait data and providing knowledge of other clinicians.}, number = {3}, journal = {IEEE Transactions on Visualization and Computer Graphics (TVCG)}, author = {Wagner, Markus and Slijepcevic, Djordje and Horsak, Brian and Rind, Alexander and Zeppelzauer, Matthias and Aigner, Wolfgang}, year = {2018}, note = {Projekt: KAVA-Time Projekt: IntelliGait Projekt: CARMA Projekt: DHLab}, keywords = {Biomechanics, Center for Artificial Intelligence, Center for Digital Health Innovation, Center for Digital Health and Social Innovation, DHLab, Design Study, FH SP Data Analytics \& Visual Computing, Forschungsgruppe Digital Technologies, Forschungsgruppe Media Computing, Gait Analysis, Gait Classification, Healthcare, Human Gait Analysis, Human-Computer Interaction, Institut für Creative Media Technologies, Institut für Gesundheitswissenschaften, Machine Learning, Media Computing Group, SP CDHSI Motor Rehabilitation, SP IGW Clinical \& Healthcare Research, Visual analytics, Wiss. Beitrag, best, best-bhorsak, best-lbaigner, best-lbwagnerm, best-mzeppelzauer, information visualization, knowledge generation, peer-reviewed}, pages = {1528--1542}, } @inproceedings{blumenstein_evaluating_2016, address = {Baltimore, MD, USA}, title = {Evaluating {Information} {Visualization} on {Mobile} {Devices}: {Gaps} and {Challenges} in the {Empirical} {Evaluation} {Design} {Space}}, isbn = {978-1-4503-4818-8}, url = {https://phaidra.fhstp.ac.at/o:4873}, doi = {10/cwc6}, abstract = {With their increasingly widespread use, mobile devices have become a highly relevant target environment for Information Visualization. However, far too little attention has been paid to evaluation of interactive visualization techniques on mobile devices. To fill this gap, this paper provides a structured overview of the commonly used evaluation approaches for mobile visualization. For this, it systematically reviews the scientific literature of major InfoVis and HCI venues and categorizes the relevant work based on six dimensions circumscribing the design and evaluation space for visualization on mobile devices. Based on the 21 evaluations reviewed, reproducibility, device variety and usage environment surface as the three main issues in evaluation of information visualization on mobile devices. To overcome these issues, we argue for a transparent description of all research aspects and propose to focus more on context of usage and technology.}, booktitle = {Proceedings of 2016 {Workshop} on {Beyond} {Time} {And} {Errors}: {Novel} {Evaluation} {Methods} {For} {Visualization}}, publisher = {ACM}, author = {Blumenstein, Kerstin and Niederer, Christina and Wagner, Markus and Schmiedl, Grischa and Rind, Alexander and Aigner, Wolfgang}, year = {2016}, note = {Projekt: KAVA-Time Projekt: Couragierte Gemeinde Projekt: VALID Projekt: VisOnFire}, keywords = {Forschungsgruppe Digital Technologies, Forschungsgruppe Media Computing, Institut für Creative Media Technologies, best, best-kblumenstein, best-lbaigner, best-lbwagnerm, evaluation, information visualization, mobile, peer-reviewed}, pages = {125--132}, } @inproceedings{rind_pubviz_2017, title = {{PubViz}: {Lightweight} {Visual} {Presentation} of {Publication} {Data}}, url = {https://phaidra.fhstp.ac.at/download/o:4834}, doi = {10/cwdc}, abstract = {Publications play a central role in presenting the outcome of scientific research but are typically presented as textual lists, whereas related work in visualization of publication focuses on exploration – not presentation. To bridge this gap, we conducted a design study of an interactive visual representation of publication data in a BibTeX file. This paper reports our domain and problem characterization as well as our visualization design decisions in light of our user-centered design process including interviews, two user studies with a paper prototype and a d3.js prototype, and practical application at our group’s website.}, booktitle = {Proc. {Eurographics} {Conf}. {Visualization} ({EuroVis}) – {Short} {Paper}}, publisher = {EuroGraphics}, author = {Rind, Alexander and Haberson, Andrea and Blumenstein, Kerstin and Niederer, Christina and Wagner, Markus and Aigner, Wolfgang}, editor = {Kozlíková, Barbora and Schreck, Tobias and Wischgoll, Thomas}, month = jun, year = {2017}, note = {Projekt: VisOnFire Projekt: KAVA-Time Projekt: VALID}, keywords = {Design Study, Forschungsgruppe Digital Technologies, Forschungsgruppe Media Computing, Institut für Creative Media Technologies, User-Centered Design, Vortrag, Wiss. Beitrag, best, best-arind, bibliography, interactive, peer-reviewed, prototype, publication list, visual presentation, visualization}, pages = {169--173}, } @inproceedings{wagner_problem_2014, address = {Paris}, title = {Problem {Characterization} and {Abstraction} for {Visual} {Analytics} in {Behavior}-{Based} {Malware} {Pattern} {Analysis}}, url = {https://ifs.tuwien.ac.at/~rind/preprint/wagner_2014_VizSec_problem.pdf}, doi = {10/cv8p}, abstract = {Behavior-based analysis of emerging malware families involves finding suspicious patterns in large collections of execution traces. This activity cannot be automated for previously unknown malware families and thus malware analysts would benefit greatly from integrating visual analytics methods in their process. However existing approaches are limited to fairly static representations of data and there is no systematic characterization and abstraction of this problem domain. Therefore we performed a systematic literature study, conducted a focus group as well as semi-structured interviews with 10 malware analysts to elicit a problem abstraction along the lines of data, users, and tasks. The requirements emerging from this work can serve as basis for future design proposals to visual analytics-supported malware pattern analysis.}, booktitle = {Proceedings of the {Eleventh} {Workshop} on {Visualization} for {Cyber} {Security}}, publisher = {ACM}, author = {Wagner, Markus and Aigner, Wolfgang and Rind, Alexander and Dornhackl, Hermann and Kadletz, Konstantin and Luh, Robert and Tavolato, Paul}, editor = {Harrison, Lane}, month = nov, year = {2014}, note = {Projekt: TARGET Projekt: KAVA-Time}, keywords = {2014, Creative Industries, Department Technologie, FH SP Cyber Security, Forschungsgruppe Digital Technologies, Forschungsgruppe Media Computing, Forschungsgruppe Secure Societies, Institut für Creative Media Technologies, Institut für IT Sicherheitsforschung, KAVA-Time, Publikationstyp Präsentation, Publikationstyp Schriftpublikation, Visual analytics, best, best-lbwagnerm, evaluation, malicious software, malware analysis, peer-reviewed, problem characterization and abstraction, user centered design, visualization}, pages = {9 -- 16}, } @inproceedings{niederer_visualizing_2018, address = {Madeira}, title = {Visualizing {Text} {Data} in {Space} and {Time} to {Augment} a {Political} {News} {Broadcast} on a {Second} {Screen}}, url = {http://mc.fhstp.ac.at/sites/default/files/publications/Niederer_SecondScreen_2018.pdf}, doi = {10/gnt2vp}, abstract = {While second screen scenarios – that is, simultaneously using a phone, tablet or laptop while watching TV or a recorded broadcast - are finding their ways into the homes of millions of people, our understanding of how to properly design them is still very limited. We envision this design space and investigate how interactive data visualization can be leveraged in a second screen context. In this paper, we present the design process of a tablet application visualizing content from the stenographic minutes of the Austrian National Council.}, booktitle = {9th {International} {Conference} on {Information} {Visualization} {Theory} and {Applications} ({IVAPP} 2018)}, publisher = {SCITEPRESS}, author = {Niederer, Christina and Blumenstein, Kerstin and Wagner, Markus and Emrich, Stefan and Aigner, Wolfgang}, year = {2018}, note = {Projekt: VALID}, keywords = {FH SP Data Analytics \& Visual Computing, Forschungsgruppe Digital Technologies, Forschungsgruppe Media Computing, Institut für Creative Media Technologies, Map, Non-experts, TV, Text Data, Time-Oriented Data, Wiss. Beitrag, information visualization, mobile, peer-reviewed, second screen}, } @inproceedings{rottermanner_low-fidelity_2018, address = {Bonn}, title = {Low-{Fidelity} {Prototyping} for the {Air} {Traffic} {Control} {Domain}}, url = {https://dl.gi.de/handle/20.500.12116/16931}, abstract = {In the next 20 years, significant changes in air traffic control are planned (SESAR, 2015). Next to an increase in air traffic, reduction in delays and improvement of safety, 4D trajectories will ensure flights on the most direct route to the destination airport. Within the research project VAST (Virtual Airspace and Tower), the team wants to explore the design space of future air traffic control inter-faces. Three low-fidelity prototypes were developed to evaluate them as early as possible with the target group, namely Air Traffic Control Officers (ATCOs). They will be described in this paper in more detail.}, booktitle = {Mensch und {Computer} 2018 - {Workshopband}}, publisher = {Gesellschaft für Informatik e.V.}, author = {Rottermanner, Gernot and Wagner, Markus and Kalteis, Martin and Iber, Michael and Judmaier, Peter and Aigner, Wolfgang and Settgast, Volker and Eggeling, Eva}, year = {2018}, note = {Projekt: VAST}, keywords = {FH SP Data Analytics \& Visual Computing, Forschungsgruppe Digital Technologies, Forschungsgruppe Media Computing, Human-Computer Interaction, Institut für Creative Media Technologies, Visual Computing, Wiss. Beitrag, peer-reviewed, ⛔ No DOI found}, pages = {605--614}, } @inproceedings{aigner_kava-time_2018, title = {{KAVA}-{Time}: {Knowledge}-{Assisted} {Visual} {Analytics} {Methods} for {Time}-{Oriented} {Data}}, url = {http://ffhoarep.fh-ooe.at/handle/123456789/1070}, abstract = {Visual analytics intertwines interactive visual interfaces with automated data analysis methods in order to support humans in data analysis. How visual analytics can leverage explicit knowledge from domain experts was investigated in the basic research project KAVA-Time. Within its scope, a theoretical model for integrating the users’ knowledge into the visual analytics processes and two cases studies in the application domains IT security and clinical rehabilitation were developed.}, booktitle = {Tagungsband des 12. {Forschungsforum} der österreichischen {Fachhochschulen} ({FFH}) 2018}, author = {Aigner, Wolfgang and Rind, Alexander and Wagner, Markus}, year = {2018}, note = {Projekt: KAVA-Time}, keywords = {Center for Digital Health Innovation, FH SP Data Analytics \& Visual Computing, Forschungsgruppe Digital Technologies, Forschungsgruppe Media Computing, Gait Analysis, Institut für Creative Media Technologies, Visual analytics, Vortrag, Wiss. Beitrag, explicit knowledge, knowledge generation, malware analysis, peer-reviewed, ⛔ No DOI found}, } @inproceedings{wagner_knowledge-assisted_2016, address = {Vienna, Austria}, title = {Knowledge-{Assisted} {Rule} {Building} for {Malware} {Analysis}}, abstract = {Due to the increasing threat from malicious software (malware), monitoring of vulnerable systems is becoming increasingly important which includes the need to log and analyze activity encompasses networks, individual computers, as well as mobile devices. Currently available tools in behavior-based malware analysis do not meet all experts’ needs, such as selecting different rules, categorizing them by their task and storing them in the database as well as manually adapting and/or tuning of found rules. To close this gap, we designed CallNet, a knowledge-assisted visual analytics and rule building tool for behavior-based malware analysis. The paper at hand is a design study which describes the design, a usage scenario, and the paper prototype evaluation. We report on the validation of CallNet by expert reviews, reflect the gained insights of the reviews and discuss the advantages and disadvantages of the prototype design including the applied visualization techniques.}, booktitle = {Proceedings of the 10th {Forschungsforum} der oesterreichischen {Fachhochschulen}}, publisher = {FH des BFI Wien}, author = {Wagner, Markus and Rind, Alexander and Rottermanner, Gernot and Niederer, Christina and Aigner, Wolfgang}, year = {2016}, note = {Projekt: KAVA-Time}, keywords = {2016, Department Medien und Digitale Technologien, Department Technologie, Forschungsgruppe Digital Technologies, Forschungsgruppe Media Computing, Institut für Creative Media Technologies, Publikationstyp Präsentation, Publikationstyp Schriftpublikation, peer-reviewed, ⛔ No DOI found}, } @incollection{wagner_visual_2017, title = {Visual {Analytics}: {Foundations} and {Experiences} in {Malware} {Analysis}}, isbn = {978-1-4987-7641-7}, abstract = {This chapter starts by providing some background in behavior-based malware analysis. Subsequently, it introduces VA and its main components based on the knowledge generation model for VA (Sacha et al., 2014). Then, it demonstrates the applicability of VA in in this subfield of software security with three projects that illustrate practical experience of VA methods: MalwareVis (Zhuo et al., 2012) supports network forensics and malware analysis by visually assessing TCP and DNS network streams. SEEM (Gove et al., 2014) allows visual comparison of multiple large attribute sets of malware samples, thereby enabling bulk classification. KAMAS (Wagner et al. 2017) is a knowledge-assisted visualization system for behavior-based malware forensics enabled by API calls and system call traces. Future directions in visual analytics for malware analysis conclude the chapter.}, booktitle = {Empirical {Research} for {Software} {Security}: {Foundations} and {Experience}}, publisher = {CRC/Taylor and Francis}, author = {Wagner, Markus and Sacha, Dominik and Rind, Alexander and Fischer, Fabian and Luh, Robert and Schrittwieser, Sebastian and Keim, Daniel A and Aigner, Wolfgang}, editor = {Othmane, Lotfi Ben and Jaatun, Martin Gilje and Weippl, Edgar}, year = {2017}, note = {Projekt: KAVA-Time}, keywords = {FH SP Cyber Security, FH SP Data Analytics \& Visual Computing, Forschungsgruppe Digital Technologies, Forschungsgruppe Media Computing, Institut für Creative Media Technologies, Publikationstyp Schriftpublikation, Visual Computing, Visual analytics, Wiss. Beitrag, best, best-lbwagnerm, data, interaction, knowledge generation, malware analysis, model, peer-reviewed, visualization}, pages = {139--171}, } @inproceedings{wagner_survey_2015, address = {Cagliari, Italy}, title = {A {Survey} of {Visualization} {Systems} for {Malware} {Analysis}}, url = {http://mc.fhstp.ac.at/supp/EuroVisStar2015}, doi = {10/cwc4}, abstract = {Due to the increasing threat from malicious software (malware), monitoring of vulnerable systems is becoming increasingly important. The need to log and analyze activity encompasses networks, individual computers, as well as mobile devices. While there are various automatic approaches and techniques available to detect, identify, or capture malware, the actual analysis of the ever-increasing number of suspicious samples is a time-consuming process for malware analysts. The use of visualization and highly interactive visual analytics systems can help to support this analysis process with respect to investigation, comparison, and summarization of malware samples. Currently, there is no survey available that reviews available visualization systems supporting this important and emerging field. We provide a systematic overview and categorization of malware visualization systems from the perspective of visual analytics. Additionally, we identify and evaluate data providers and commercial tools that produce meaningful input data for the reviewed malware visualization systems. This helps to reveal data types that are currently underrepresented, enabling new research opportunities in the visualization community.}, booktitle = {Eurographics {Conference} on {Visualization} ({EuroVis}) - {STARs}}, publisher = {The Eurographics Association}, author = {Wagner, Markus and Fischer, Fabian and Luh, Robert and Haberson, Andrea and Rind, Alexander and Keim, Daniel A. and Aigner, Wolfgang}, editor = {Borgo, Rita and Ganovelli, Fabio and Viola, Ivan}, year = {2015}, note = {Projekt: TARGET Projekt: KAVA-Time}, keywords = {Creative Industries, FH SP Cyber Security, FH SP Data Analytics \& Visual Computing, Forschungsgruppe Digital Technologies, Forschungsgruppe Media Computing, Forschungsgruppe Secure Societies, Institut für Creative Media Technologies, Institut für IT Sicherheitsforschung, Josef Ressel Zentrum TARGET, KAVA-Time, Model/Taxonomy, Publikationstyp Präsentation, Publikationstyp Schriftpublikation, Time-Oriented Data, Visual Computing, Visual analytics, Vortrag, Wiss. Beitrag, best, best-lbaigner, best-lbwagnerm, best-rluh, information visualization, interdisziplinär, malicious software, malware, peer-reviewed, survey, taxonomy, visualization}, pages = {105--125}, } @article{luh_sequin_2018, title = {{SEQUIN}: a grammar inference framework for analyzing malicious system behavior}, url = {http://mc.fhstp.ac.at/sites/default/files/publications/Luh_2018_SEQUIN.pdf}, doi = {10/cwdf}, abstract = {Targeted attacks on IT systems are a rising threat to the confidentiality of sensitive data and the availability of critical systems. The emergence of Advanced Persistent Threats (APTs) made it paramount to fully understand the particulars of such attacks in order to improve or devise effective defense mechanisms. Grammar inference paired with visual analytics (VA) techniques offers a powerful foundation for the automated extraction of behavioral patterns from sequential event traces. To facilitate the interpretation and analysis of APTs, we present SEQUIN, a grammar inference system based on the Sequitur compression algorithm that constructs a context-free grammar (CFG) from string-based input data. In addition to recursive rule extraction, we expanded the procedure through automated assessment routines capable of dealing with multiple input sources and types. This automated assessment enables the accurate identification of interesting frequent or anomalous patterns in sequential corpora of arbitrary quantity and origin. On the formal side, we extended the CFG with attributes that help describe the extracted (malicious) actions. Discovery-focused pattern visualization of the output is provided by our dedicated KAMAS VA prototype.}, journal = {Journal of Computer Virology and Hacking Techniques}, author = {Luh, Robert and Schramm, Gregor and Wagner, Markus and Janicke, Helge and Schrittwieser, Sebastian}, year = {2018}, note = {Projekt: TARGET Projekt: KAVA-Time}, keywords = {FH SP Cyber Security, Forschungsgruppe Digital Technologies, Forschungsgruppe Media Computing, Forschungsgruppe Secure Societies, Institut für Creative Media Technologies, Institut für IT Sicherheitsforschung, Josef Ressel Zentrum TARGET, Visual analytics, Wiss. Beitrag, attribute grammar, best, best-lbwagner, best-rluh, knowledge generation, malware analysis, peer-reviewed, system behavior}, pages = {01 -- 21}, } @inproceedings{luh_sequitur-based_2017, title = {Sequitur-based {Inference} and {Analysis} {Framework} for {Malicious} {System} {Behavior}}, doi = {10/cwdb}, author = {Luh, Robert and Schramm, Georg and Wagner, Markus and Schrittwieser, Sebastian}, year = {2017}, note = {Projekt: TARGET Projekt: KAVA-Time}, keywords = {2017, Department Medien und Digitale Technologien, Department Technologie, FH SP Cyber Security, Forschungsgruppe Digital Technologies, Forschungsgruppe Media Computing, Forschungsgruppe Secure Societies, Institut für Creative Media Technologies, Institut für IT Sicherheitsforschung, Josef Ressel Zentrum TARGET, Publikationstyp Präsentation, Publikationstyp Schriftpublikation, peer-reviewed}, } @inproceedings{wagner_native_2016, address = {Lisbon, Portugal}, title = {Native {Cross}-platform {Visualization}: {A} {Proof} of {Concept} {Based} on the {Unity3D} {Game} {Engine}}, url = {http://mc.fhstp.ac.at/sites/default/files/publications/IV2016_UnityVis_Wagner.pdf}, doi = {10/cwc7}, abstract = {Today many different devices and operating systems can be used for InfoVis systems. On the one hand, web-based visualizations can be used to be compatible with several systems, but the performance depends on optimized browser engines. On the other hand, it is possible to build a native system which supports all the benefits for just one device. However, transferring the code to another system means parts of the code or the programming language have to be adapted. To close this gap, we present a proof of concept based on the Unity3D game engine. We implemented a prototype following the InfoVis reference model and basic interactions for interactive data exploration. A major advantage is that we have now the ability to deploy native code to over 20 different devices. Additionally, this proof of concept opens new possibilities for a future InfoVis framework which benefits from Unity3D.}, booktitle = {Proceedings of {International} {Conference} on {Information} {Visualisation} ({IV16})}, publisher = {IEEE Computer Society Press}, author = {Wagner, Markus and Blumenstein, Kerstin and Rind, Alexander and Seidl, Markus and Schmiedl, Grischa and Lammarsch, Tim and Aigner, Wolfgang}, year = {2016}, note = {Projekt: VisOnFire Projekt: KAVA-Time}, keywords = {2016, Center for Artificial Intelligence, Department Medien und Digitale Technologien, Department Technologie, Forschungsgruppe Digital Technologies, Forschungsgruppe Media Computing, Institut für Creative Media Technologies, Publikationstyp Präsentation, Publikationstyp Schriftpublikation, peer-reviewed}, pages = {forthcoming}, } @article{rind_task_2016, title = {Task {Cube}: {A} {Three}-{Dimensional} {Conceptual} {Space} of {User} {Tasks} in {Visualization} {Design} and {Evaluation}}, volume = {15}, url = {https://publik.tuwien.ac.at/files/PubDat_247156.pdf}, doi = {10/f3szvq}, abstract = {User tasks play a pivotal role in visualization design and evaluation. However, the term ‘task’ is used ambiguously within the visualization community. In this article, we critically analyze the relevant literature and systematically compare definitions for ‘task’ and the usage of related terminology. In doing so, we identify a three-dimensional conceptual space of user tasks in visualization, referred to as task cube, and the more precise concepts ‘objective’ and ‘action’ for tasks. We illustrate the usage of the task cube’s dimensions in an objective-driven visualization process, in different scenarios of visualization design and evaluation, and for comparing categorizations of abstract tasks. Thus, visualization researchers can better formulate their contributions which helps advance visualization as a whole.}, number = {4}, journal = {Information Visualization}, author = {Rind, Alexander and Aigner, Wolfgang and Wagner, Markus and Miksch, Silvia and Lammarsch, Tim}, year = {2016}, note = {Projekt: KAVA-Time Projekt: VALID}, keywords = {Action, FH SP Data Analytics \& Visual Computing, Forschungsgruppe Digital Technologies, Forschungsgruppe Media Computing, Institut für Creative Media Technologies, Publikationstyp Schriftpublikation, Visual Computing, Wiss. Beitrag, best, best-arind, best-lbaigner, best-lbwagnerm, design guidelines, interaction, objective, peer-reviewed, task frameworks, task taxonomy, terminology, visualization theory}, pages = {288--300}, } @inproceedings{federico_role_2017, address = {Paolo Federico and Markus Wagner equally contributed to this paper and are both to be regarded as first authors.}, title = {The {Role} of {Explicit} {Knowledge}: {A} {Conceptual} {Model} of {Knowledge}-{Assisted} {Visual} {Analytics}}, url = {https://publik.tuwien.ac.at/files/publik_261674.pdf}, doi = {10/ghppzr}, abstract = {Visual Analytics (VA) aims to combine the strengths of humans and computers for effective data analysis. In this endeavor, humans’ tacit knowledge from prior experience is an important asset that can be leveraged by both human and computer to improve the analytic process. While VA environments are starting to include features to formalize, store, and utilize such knowledge, the mechanisms and degree in which these environments integrate explicit knowledge varies widely. Additionally, this important class of VA environments has never been elaborated on by existing work on VA theory. This paper proposes a conceptual model of Knowledge-assisted VA conceptually grounded on the visualization model by van Wijk. We apply the model to describe various examples of knowledge-assisted VA from the literature and elaborate on three of them in finer detail. Moreover, we illustrate the utilization of the model to compare different design alternatives and to evaluate existing approaches with respect to their use of knowledge. Finally, the model can inspire designers to generate novel VA environments using explicit knowledge effectively.}, booktitle = {{IEEE} {Conference} on {Visual} {Analytics} {Science} and {Technology} ({VAST})}, publisher = {IEEE}, author = {Federico, Paolo and Wagner, Markus and Rind, Alexander and Amor-Amorós, Albert and Miksch, Silvia and Aigner, Wolfgang}, year = {2017}, note = {Projekt: KAVA-Time}, keywords = {Center for Digital Health Innovation, FH SP Data Analytics \& Visual Computing, Forschungsgruppe Digital Technologies, Forschungsgruppe Media Computing, Institut für Creative Media Technologies, Visual analytics, Vortrag, Wiss. Beitrag, automated analysis, best, best-lbaigner, explicit knowledge, information visualization, peer-reviewed, tacit knowledge, theory and model}, pages = {92--103}, } @article{wagner_knowledge-assisted_2017, title = {A knowledge-assisted visual malware analysis system: design, validation, and reflection of {KAMAS}}, issn = {0167-4048}, shorttitle = {A knowledge-assisted visual malware analysis system}, url = {http://www.sciencedirect.com/science/article/pii/S0167404817300263}, doi = {10/b5j9}, abstract = {IT-security experts engage in behavior-based malware analysis in order to learn about previously unknown samples of malicious software (malware) or malware families. For this, they need to find and categorize suspicious patterns from large collections of execution traces. Currently available systems do not meet the analysts' needs which are described as: visual access suitable for complex data structures, visual representations appropriate for IT-security experts, provision of workflow-specific interaction techniques, and the ability to externalize knowledge in the form of rules to ease the analysis process and to share with colleagues. To close this gap, we designed and developed KAMAS, a knowledge-assisted visualization system for behavior-based malware analysis. This paper is a design study that describes the design, implementation, and evaluation of the prototype. We report on the validation of KAMAS with expert reviews, a user study with domain experts and focus group meetings with analysts from industry. Additionally, we reflect on the acquired insights of the design study and discuss the advantages and disadvantages of the applied visualization methods. An interesting finding is that the arc-diagram was one of the preferred visualization techniques during the design phase but did not provide the expected benefits for finding patterns. In contrast, the seemingly simple looking connection line was described as supportive in finding the link between the rule overview table and the rule detail table which are playing a central role for the analysis in KAMAS.}, number = {67}, urldate = {2017-02-17}, journal = {Computers \& Security}, author = {Wagner, Markus and Rind, Alexander and Thür, Niklas and Aigner, Wolfgang}, year = {2017}, note = {Projekt: KAVA-Time}, keywords = {Department Medien und Digitale Technologien, Department Technologie, FH SP Data Analytics \& Visual Computing, Forschungsgruppe Digital Technologies, Forschungsgruppe Media Computing, Institut für Creative Media Technologies, Publikationstyp Schriftpublikation, Visual Computing, Visual analytics, Wiss. Beitrag, behavior-based, best, best-lbaigner, best-lbwagnerm, design study, interactive, knowledge generation, malicious software, malware analysis, peer-reviewed, prototype, visualization}, pages = {1--15}, } @inproceedings{rind_user_2014, series = {{BELIV} '14}, title = {User {Tasks} for {Evaluation}: {Untangling} the {Terminology} {Throughout} {Visualization} {Design} and {Development}}, isbn = {978-1-4503-3209-5}, url = {http://publik.tuwien.ac.at/files/PubDat_232654.pdf}, doi = {10/f3szvm}, abstract = {User tasks play a pivotal role in evaluation throughout visualization design and development. However, the term 'task' is used ambiguously within the visualization community. In this position paper, we critically analyze the relevant literature and systematically compare definitions for 'task' and the usage of related terminology. In doing so, we identify a three-dimensional conceptual space of user tasks in visualization. Using these dimensions, visualization researchers can better formulate their contributions which helps advance visualization as a whole.}, booktitle = {Proceedings of the {Fifth} {Workshop} on {Beyond} {Time} and {Errors}: {Novel} {Evaluation} {Methods} for {Visualization}}, publisher = {ACM}, author = {Rind, Alexander and Aigner, Wolfgang and Wagner, Markus and Miksch, Silvia and Lammarsch, Tim}, editor = {Lam, Heidi and Isenberg, Petra and Isenberg, Tobias and Sedlmair, Michael}, year = {2014}, note = {Projekt: KAVA-Time}, keywords = {2014, Creative Industries, Department Technologie, Forschungsgruppe Digital Technologies, Forschungsgruppe Media Computing, Institut für Creative Media Technologies, Publikationstyp Präsentation, Publikationstyp Schriftpublikation, Reflections, best, interaction, peer-reviewed, reflections, task taxonomy, taxonomy of tasks, terminology, visualization}, pages = {9--15}, } @inproceedings{blumenstein_interactive_2015, address = {Rostock, Germany}, title = {Interactive {Data} {Visualization} for {Second} {Screen} {Applications}: {State} of the {Art} and {Technical} {Challenges}}, isbn = {978-3-8396-0960-6}, url = {https://research.fhstp.ac.at/content/download/128715/file/Blumenstein_et_al_2015_Interactive_Data_Visualization_for_Second_Screen.pdf?inLanguage=ger-DE}, abstract = {While second screen scenarios - that is, simultaneously using a phone, tablet or laptop while watching TV or a recorded broadcast - are finding their ways into the homes of millions of people, our understanding of how to properly design them is still very limited. We envision this design space and investigate how interactive data visualization can be leveraged in a second screen context. We concentrate on the state of the art in the affected areas of this topic and define technical challenges and opportunities which have to be solved for developing second screen applications including data visualization in the future.}, booktitle = {Proceedings of the {International} {Summer} {School} on {Visual} {Computing}}, publisher = {Frauenhoferverlag}, author = {Blumenstein, Kerstin and Wagner, Markus and Aigner, Wolfgang and von Suess, Rosa and Prochaska, Harald and Püringer, Julia and Zeppelzauer, Matthias and Sedlmair, Michael}, editor = {Schulz, Hans-Jörg and Urban, Bodo and Freiherr von Lukas, Uwe}, month = aug, year = {2015}, note = {Projekt: KAVA-Time Projekt: VALID}, keywords = {2015, Center for Artificial Intelligence, Department Medien und Digitale Technologien, Department Technologie, FH SP Data Analytics \& Visual Computing, Forschungsgruppe Digital Technologies, Forschungsgruppe Media Computing, Institut für Creative Media Technologies, Media Computing Group, Publikationstyp Präsentation, Publikationstyp Schriftpublikation, SP MW Global Media Markets \& Local Practices, Visual analytics, Wiss. Beitrag, peer-reviewed, visualization}, pages = {35--48}, } @inproceedings{grassinger_lifestream:_2017, address = {St. Pölten}, title = {{LifeStream}: {Design} and prototypical implementation of a monitoring system for dispatch life support}, url = {http://mc.fhstp.ac.at/sites/default/files/publications/Grassinger_Lifestream_2017.pdf}, abstract = {Most laypersons who reanimate for the first time do it inappropriately. Until now the only way to review the ongoing reanimation was verbal feedback by the dispatcher on the phone, who has only limited resources in order to review the reanimation process. To overcome this issue, we designed and implemented LifeStream, a system using current smartphone technologies in order to measure reanimation parameters: chest compression rate (CCR) and chest compression depth (CCD). The system is based on a server, web client and mobile application, which gathers, processes and transfers the data. The development of algorithms for CCR and CCD detection as well as the evaluation of the system functionality is part of this paper. We conducted a 2-day user test, where we compared the guided standard reanimation process to the application supported process. The results of the tests showed that it is possible to develop an application, which runs for at least ten minutes (crucial time till ambulance arrives) and enhances the whole reanimation cycle for laypersons and dispatchers (Ljunggren et al., 2016).}, booktitle = {Proceedings of the 10th {Forum} {Media} {Technology} 2017}, publisher = {CEUR-WS}, author = {Grassinger, Florian and Doppler, Jakob and Wagner, Markus and Aigner, Wolfgang}, month = nov, year = {2017}, keywords = {2017, Center for Digital Health Innovation, Center for Digital Health and Social Innovation, Forschungsgruppe Digital Technologies, Forschungsgruppe Media Computing, Institut für Creative Media Technologies, Publikationstyp Präsentation, Publikationstyp Schriftpublikation, health-care, mobile, peer-reviewed, visualization}, pages = {41--45}, } @incollection{rind_visual_2017, address = {Cham}, series = {℡e-{Health}}, title = {Visual {Analytics} of {Electronic} {Health} {Records} with a {Focus} on {Time}}, abstract = {Visual Analytics is a field of computer science that deals with methods to perform data analysis using both computer-based methods and human judgment facilitated by direct interaction with visual representations of data. Electronic health record systems that apply Visual Analytics methods have the potential to provide healthcare stakeholders with much-needed cognitive support in exploring and querying records. This chapter presents Visual Analytics projects addressing five particular challenges of electronic health records: (1) The complexity of time-oriented data constitutes a cross-cutting challenge so that all projects need to consider design aspects of time-oriented data in one way or another. (2) As electronic health records encompass patient conditions and treatment, they are inherently heterogeneous data. (3) Scaling from single patients to cohorts requires approaches for relative time, space efficiency, and aggregation. (4) Data quality and uncertainty are common issues that need to be considered in real-world projects. (5) A user-centered design process and suitable interaction techniques are another cross-cutting challenge for each and every Visual Analytics project.}, booktitle = {New {Perspectives} in {Medical} {Records}: {Meeting} the {Needs} of {Patients} and {Practitioners}}, publisher = {Springer}, author = {Rind, Alexander and Federico, Paolo and Gschwandtner, Theresia and Aigner, Wolfgang and Doppler, Jakob and Wagner, Markus}, editor = {Rinaldi, Giovanni}, year = {2017}, doi = {10.1007/978-3-319-28661-7_5}, keywords = {Center for Digital Health Innovation, Center for Digital Health and Social Innovation, Digital Health, FH SP Data Analytics \& Visual Computing, Forschungsgruppe Digital Technologies, Forschungsgruppe Media Computing, Healthcare, Institut für Creative Media Technologies, Publikationstyp Schriftpublikation, Time-Oriented Data, Visual Computing, Visual analytics, best, best-lbwagnerm, data quality, electronic health records, knowledge, medical data}, pages = {65--77}, } @inproceedings{schick_supporting_2017, address = {Phoenix, Arizona, USA}, title = {Supporting {Knowledge}-assisted {Rule} {Creation} in a {Behavior}-based {Malware} {Analysis} {Prototype}}, url = {http://mc.fhstp.ac.at/sites/default/files/publications/vizsec-poster-2017.pdf}, abstract = {The ever increasing number of malicious software (malware) requires domain experts to shift their analysis process towards more individualized approaches to acquire more information about presently unknown malware samples. KAMAS is a knowledge-assisted visual analytics prototype for behavioral malware analysis, which allows IT-security experts to categorize and store potentially harmful system call sequences (rules) in a knowledge database. In order to meet the increasing demand for individualization of analysis processes, analysts have to be able to create individual rules. This paper is a visualization design study, which describes the design and implementation of a separate Rule Creation Area (RCA) into KAMAS and its evaluation by domain experts. It became clear that continuous integration of experts in interaction processes improves the analysis and knowledge generation mechanism of KAMAS. Additionally, the outcome of the evaluation revealed that there is a demand for adjustment and re-usage of already stored rules in the RCA.}, booktitle = {Poster of the 14th {Workshop} on {Visualization} for {Cyber} {Security} ({VizSec})}, author = {Schick, Johannes and Wagner, Markus and Thür, Niklas and Niederer, Christina and Rottermanner, Gernot and Tavolato, Paul and Aigner, Wolfgang}, month = oct, year = {2017}, note = {Projekt: KAVA-Time}, keywords = {2017, Forschungsgruppe Digital Technologies, Forschungsgruppe Media Computing, Institut für Creative Media Technologies, Knowledge-assisted Visualization, Publikationstyp Präsentation, Publikationstyp Schriftpublikation, User-Centered Design, Visual analytics, explicit knowledge, information visualization}, } @inproceedings{thur_big2-kamas:_2017, address = {Phoenix, Arizona, USA}, title = {{BiG2}-{KAMAS}: {Supporting} {Knowledge}-{Assisted} {Malware} {Analysis} with {Bi}-{Gram} {Based} {Valuation}}, url = {http://mc.fhstp.ac.at/sites/default/files/publications/vizsec-poster-2017%20%281%29.pdf}, abstract = {Malicious software, short malware, refers to software programs that are designed to cause damage or to perform unwanted actions on the infected computer system. The behavior-based analysis of malware typically utilizes tools that produce lengthy traces of observed events, which have to be analyzed manually or by means of individual scripts. Due to the growing amount of data extracted from malware samples, analysts are in need of an interactive tool that supports them in their exploration efforts. In this respect, the use of visual analytics methods and stored expert knowledge helps the user to speed up the exploration process and, furthermore, to improve the quality of the outcome. In this paper, the previously developed KAMAS concept is extended with components such as a bi-gram based valuation approach to cover further malware analysts’ needs. The components have been integrated a new prototype which was evaluated by two domain experts in a detailed user study.}, booktitle = {Poster of the 14th {Workshop} on {Visualization} for {Cyber} {Security} ({VizSec})}, author = {Thür, Niklas and Wagner, Markus and Schick, Johannes and Niederer, Christina and Eckel, Jürgen and Luh, Robert and Aigner, Wolfgang}, month = oct, year = {2017}, note = {Projekt: KAVA-Time}, keywords = {2017, Forschungsgruppe Digital Technologies, Forschungsgruppe Media Computing, Institut für Creative Media Technologies, Knowledge-assisted Visualization, Publikationstyp Präsentation, Publikationstyp Schriftpublikation, User-Centered Design, Visual analytics, explicit knowledge, information visualization}, } @inproceedings{thur_bigram_2017, address = {St. Pölten}, title = {A {Bigram} {Supported} {Generic} {Knowledge}-{Assisted} {Malware} {Analysis} {System}: {BiG2}-{KAMAS}}, url = {http://mc.fhstp.ac.at/sites/default/files/publications/Thuer_B2KAMAS_2017.pdf}, abstract = {Malicious software, short "malware", refers to software programs that are designed to cause damage or to perform unwanted actions on the infected computer system. Behavior-based analysis of malware typically utilizes tools that produce lengthy traces of observed events, which have to be analyzed manually or by means of individual scripts. Due to the growing amount of data extracted from malware samples, analysts are in need of an interactive tool that supports them in their exploration efforts. In this respect, the use of visual analytics methods and stored expert knowledge helps the user to speed up the exploration process and, furthermore, to improve the quality of the outcome. In this paper, the previously developed KAMAS prototype is extended with additional features such as the integration of a bi-gram based valuation approach to cover further malware analysts’ needs. The result is a new prototype which was evaluated by two domain experts in a detailed user study.}, booktitle = {Proceedings of the 10th {Forum} {Media} {Technology} 2017}, publisher = {CEUR-WS}, author = {Thür, Niklas and Wagner, Markus and Schick, Johannes and Niederer, Christina and Eckel, Jürgen and Luh, Robert and Aigner, Wolfgang}, month = nov, year = {2017}, note = {Projekt: KAVA-Time}, keywords = {2017, Design Study, Forschungsgruppe Digital Technologies, Forschungsgruppe Media Computing, Institut für Creative Media Technologies, Publikationstyp Präsentation, Publikationstyp Schriftpublikation, Visual analytics, behavior-based, interactive, knowledge generation, malicious software, malware analysis, peer-reviewed, prototype, visualization}, pages = {107--115}, } @inproceedings{schick_rule_2017, address = {St. Pölten}, title = {Rule {Creation} in a {Knowledge}-assisted {Visual} {Analytics} {Prototype} for {Malware} {Analysis}}, url = {http://mc.fhstp.ac.at/sites/default/files/publications/Schick_RuleCreation_2017.pdf}, abstract = {The increasing number of malicious software (malware) requires domain experts to shift their analysis process towards more individualized approaches to acquire more information about unknown malware samples. KAMAS is a knowledge-assisted visual analytics prototype for behavioral malware analysis. It allows IT-security experts to categorize and store potentially harmful system call sequences (rules) in a knowledge database. To meet the increasing demand for individualization of analysis processes, analysts should be able to create individual rules. This paper is a visualization design study, which describes the design and implementation of a Rule Creation Area (RCA) into KAMAS and its evaluation by domain experts. It became clear that continuous integration of experts in interaction processes improves the knowledge generation mechanism of KAMAS. Additionally, the outcome of the evaluation revealed that there is a demand for adjustment and re-usage of already stored rules in the RCA.}, booktitle = {Proceedings of the 10th {Forum} {Media} {Technology} 2017}, publisher = {CEUR-WS}, author = {Schick, Johannes and Wagner, Markus and Thür, Niklas and Niederer, Christina and Rottermanner, Gernot and Tavolato, Paul and Aigner, Wolfgang}, month = nov, year = {2017}, note = {Projekt: KAVA-Time}, keywords = {2017, Design Study, Forschungsgruppe Digital Technologies, Forschungsgruppe Media Computing, Institut für Creative Media Technologies, Publikationstyp Präsentation, Publikationstyp Schriftpublikation, Visual analytics, behavior-based, interactive, knowledge generation, malicious software, malware analysis, peer-reviewed, prototype, visualization}, pages = {116--123}, } @phdthesis{wagner_integrating_2017, address = {Vienna}, type = {{PhD} {Thesis}}, title = {Integrating {Explicit} {Knowledge} in the {Visual} {Analytics} {Process}}, url = {http://mc.fhstp.ac.at/sites/default/files/publications/20170623_Dissertation_Markus_WAGNER.pdf}, abstract = {Visual analytics (VA) aims to combine the strengths of the human user and computers for effective data analysis. In this endeavor, the user’s implicit knowledge from prior experience is an important asset that can be leveraged by both, the user and the computer to improve the analytics process. While VA environments are starting to include features to formalize, store and utilize such knowledge, the mechanisms and degree to which these environments integrate explicit knowledge varies widely. Additionally, a theoretical model and formalization of this class of VA environments is not available in the VA community yet. This doctoral thesis aims to close this gap by proposing a new theoretical high-level model conceptually grounded on the ‘Simple Visualization Model’ by Van Wijk supporting the visualization community. The new ‘Knowledge-assisted VA Model’ provides the ability to describe all components and processes to characterize knowledge-assisted VA systems. Additionally, it supports visualization experts and designers by comparing and evaluating knowledge-assisted VA systems as well by creating new solutions. To demonstrate the model’s application, we use problem-driven research to study knowledge-assisted visualization systems for time-oriented data in the context of two real world problems. The first case study focuses on the domain of IT-security to support experts during behavior-based malware analysis. Therefore, we developed KAMAS, a knowledge-assisted visualization system for behavior-based malware analysis, describing its design, implementation, and evaluation. Additionally, to support clinical gait analysts during their daily work, we conducted a second case study developing KAVAGait, a knowledge-assisted VA solution for clinical gait analysis. In addition to applying the ‘Knowledge-assisted VA Model’ in two case studies, we also elaborate on two examples from literature. Moreover, we illustrated the utilization of the model for the comparison of different design alternatives and to evaluate existing approaches with respect to their use of knowledge. Our model provides the opportunity to inspire designers by using the model as a high-level blueprint to generate new VA environments using explicit knowledge effectively. Additionally, we observed that the VA process benefits in several ways by explicit knowledge: 1) by including it into the automated data analysis process; 2) for adapting the system’s specification and 3) to faster gain new implicit knowledge about the data. Finally, we present possible future directions for future research on the integration of explicit knowledge in VA.}, school = {Vienna University of Technology}, author = {Wagner, Markus}, month = jun, year = {2017}, note = {Projekt: KAVA-Time}, keywords = {2017, Extern, Forschungsgruppe Digital Technologies, Forschungsgruppe Media Computing, IT-security, Implicit knowledge, Institut für Creative Media Technologies, Publikationstyp Schriftpublikation, Time-Oriented Data, Visual analytics, best-lbwagnerm, case studie, clinical gait analysis, explicit knowledge, information visualization, interface design, model, theory, visualization}, } @inproceedings{blumenstein_visualizing_2017, title = {Visualizing {Spatial} and {Time}-{Oriented} {Data} in a {Second} {Screen} {Application}}, abstract = {Mobile devices are more and more used in parallel, esp. in the field of TV viewing as second screen devices. Such scenarios aim to enhance the viewers’ user experience while watching TV. We designed and implemented a second screen prototype intended to be used in parallel to watching a TV documentary. It allows to interactively explore a combination of spatial and time-oriented data to extend and enrich the TV content. We evaluated our prototype in a twofold approach, consisting of expert reviews and user evaluation. We identified different interaction habits in a second screen scenario and present its benefits in relation to documentaries.}, booktitle = {Proceedings of the 19th {International} {Conference} on {Human}-{Computer} {Interaction} with {Mobile} {Devices} and {Services}}, publisher = {ACM}, author = {Blumenstein, Kerstin and Niederer, Christina and Wagner, Markus and Pfersmann, Wilhelm and Seidl, Markus and Aigner, Wolfgang}, month = sep, year = {2017}, note = {Projekt: KAVA-Time Projekt: MEETeUX Projekt: VALID}, keywords = {2017, Center for Artificial Intelligence, Forschungsgruppe Digital Technologies, Forschungsgruppe Media Computing, Institut für Creative Media Technologies, Publikationstyp Schriftpublikation, peer-reviewed}, } @book{wagner_simulation_2013, address = {Saarbrücken}, series = {Reihe {Realwissenschaften}}, title = {Simulation mittels {Masse}-{Feder}-{Systemen}: {Parallelisierte} {Simulation} einer {Flüssigkeitsoberfläche} mittels {Masse}-{Feder}-{Systemen}}, isbn = {3-639-49396-6}, publisher = {AV Akademikerverlag}, author = {Wagner, Markus}, year = {2013}, keywords = {Euler, Extern, Hooke’s Law, Mass-Spring-System, OpenGL, OpenMP-API, Verlet}, } @mastersthesis{wagner_parallelisierte_2013, address = {Wien}, title = {Parallelisierte {Simulation} einer {Flüssigkeitsoberfläche} mittels {Masse}-{Feder}-{Systemen}}, abstract = {At that moment realistic looking water surface is generated by means of various shader programs and mapping method in many current computer games. Although this liquid-surface look very realistic but they have a disadvantage: They have no realistic effect of wave movements. This leads to the motivation to replicate wave movements by means of mass-spring-systems, since they can be calculated in real time.This master thesis describes the creation of a Mass-Spring-System, which is used to simulate a liquid-surface. The calculations are used for the springs which are based on Hooke‘s Law. Furthermore the system contains two integration methods (Euler and Verlet) which are necessary to make a direct visual- and performance comparison. The visual comparison is needed to figure out the non-used spring connections. This step is needed to gain a better performance of the system without losing the quality of the visual results. The implementation of the sequential calculation system is parallelized with OpenMP-API. Both are needed for performance comparisons. There are two integrators implemented which are getting compared through this evaluation. Based on this evaluation it is possible to determine and evaluate the performance growth of the system.}, school = {Fachhochschule Technikum Wien}, author = {Wagner, Markus}, month = may, year = {2013}, keywords = {Euler, Extern, Hooke’s Law, Mass-Spring-System, OpenGL, OpenMP-API, Verlet}, } @inproceedings{haag_genderorientierter_2015, address = {St. Pölten, Österreich}, title = {Genderorientierter {Informatikunterricht}: {Plattformübergreifende} {Spieleentwicklung} mit {Unity3D}}, isbn = {978-3-99023-411-2}, shorttitle = {Genderorientierter {Informatikunterricht}}, language = {Deutsch}, booktitle = {Game {Based} {Learning} - {Dialogorientierung} \& spielerisches {Lernen} digital und analog: {Beiträge} zum 4. {Tag} der {Lehre} an der {FH} {St}.{Pölten} am 15.10. 2015}, publisher = {ikon Verlag}, author = {Wagner, Markus and Blumenstein, Kerstin and Wieländer, Ulrike and Judmaier, Peter}, editor = {Haag, Johann and Weißenböck, Josef and Gruber, Wolfgang and Freisleben-Teutscher, Christian F.}, month = oct, year = {2015}, keywords = {2015, Department Medien und Digitale Technologien, Department Technologie, Forschungsgruppe Digital Technologies, Forschungsgruppe Media Computing, Institut für Creative Media Technologies, Publikationstyp Präsentation, Publikationstyp Schriftpublikation}, pages = {23--32}, } @inproceedings{kromer_performance_2016, title = {Performance {Comparison} between {Unity} and {D3}.js for {Cross}-{Platform} {Visualization} on {Mobile} {Devices}}, url = {http://mc.fhstp.ac.at/sites/default/files/publications/Kromer_2016_FMT_crossVisComparison.pdf}, abstract = {Modern data visualizations are developed as interactive and intuitive graphic applications. In the development process, programmers basically pursue the same goal: creating an application with a great performance. Such applications have to display information at its best way in every possible situation. In this paper, we present a performance comparison on mobile devices between D3.js and Unity based on a Baby Name Explorer example. The results of the performance analysis demonstrated that Unity and D3.js are great tools for information visualization. While Unity convinced by its performance results according to our test criteria, currently Unity does not provide a visualization library.}, booktitle = {Proceedings of the 9th {Forum} {Media} {Technology} 2016}, publisher = {CEUR-WS}, author = {Kromer, Lorenz and Wagner, Markus and Blumenstein, Kerstin and Rind, Alexander and Aigner, Wolfgang}, month = nov, year = {2016}, note = {Projekt: KAVA-Time Projekt: VALID Projekt: Couragierte Gemeinde Projekt: VisOnFire}, keywords = {2016, Department Medien und Digitale Technologien, Department Technologie, Forschungsgruppe Digital Technologies, Forschungsgruppe Media Computing, Institut für Creative Media Technologies, Publikationstyp Präsentation, Publikationstyp Schriftpublikation, peer-reviewed}, pages = {47--52}, } @inproceedings{wagner_literature_2015, title = {Literature review in visual analytics for malware pattern analysis}, abstract = {Due to the increasing number of malware, monitoring of vulnerable systems is becoming increasingly more important. This applies to networks, individual computers, as well as mobile devices. For this purpose, there are various approaches and techniques to detect or to capture malicious software. To support the analysts, visualizing the data and using visual analytics (VA) methods during data exploration are beneficial approaches. There are a number of different visualization methods available which provide interaction for data exploration. We conducted a literature survey to provide an overview of the currently existing visualization and interaction techniques for malware analysis from the view of VA. All found papers were divided into 3 main categories to present common characteristics. This report shows that the scope of malware analysis in combination with VA is still not very well explored. Many of the described approaches use only few interaction techniques and leave a lot of room for future research activities.}, booktitle = {Proceedings of the 9th {Forschungsforum} der österreichischen {Fachhochschulen}}, publisher = {FH Hagenberg}, author = {Wagner, Markus and Aigner, Wolfgang and Haberson, Andrea and Rind, Alexander}, month = apr, year = {2015}, note = {Projekt: KAVA-Time}, keywords = {2015, Creative Industries, Department Medien und Digitale Technologien, Department Technologie, Forschungsgruppe Digital Technologies, Forschungsgruppe Media Computing, Institut für Creative Media Technologies, KAVA-Time, Model/Taxonomy, Publikationstyp Präsentation, Publikationstyp Schriftpublikation, Visual analytics, information visualization, malicious software, malware, peer-reviewed, visualization}, } @inproceedings{blumenstein_cross-platform_2015, address = {Funchal, Portugal}, title = {Cross-{Platform} {InfoVis} {Frameworks} for {Multiple} {Users}, {Screens} and {Devices}: {Requirements} and {Challenges}}, shorttitle = {Cross-{Platform} {InfoVis} {Frameworks} for {Multiple} {Users}, {Screens} and {Devices}}, booktitle = {{DEXiS} 2015 {Workshop} on {Data} {Exploration} for {Interactive} {Surfaces}. {Workshop} in conjunction wirth {ACM} {ITS}'15}, author = {Blumenstein, Kerstin and Wagner, Markus and Aigner, Wolfgang}, month = nov, year = {2015}, note = {Projekt: KAVA-Time Projekt: VALID}, keywords = {2015, Department Medien und Digitale Technologien, Department Technologie, Forschungsgruppe Digital Technologies, Forschungsgruppe Media Computing, Institut für Creative Media Technologies, Publikationstyp Präsentation, Publikationstyp Schriftpublikation, peer-reviewed, visualization}, } @inproceedings{rottermanner_requirements_2017, address = {Phoenix, Arizona USA}, title = {Requirements {Analysis} \& {Concepts} for {Future} {European} {Air} {Traffic} {Control} {Systems}}, url = {http://mc.fhstp.ac.at/sites/default/files/publications/Rottermanner_2017_Requirements.pdf}, abstract = {Since decades, Air Traffic Control Officers (ATCOs) are working with 2D representations of the airspace (RADAR). Based on the Single European Sky Air traffic management Research (SESAR), some planned innovations will change the way, air traffic will be handled in the future. Therefore, the paper first presents a requirements analysis in order to understand the current workflow as well as the necessities and concerns of ATCOs for future developments. Second, the paper summarizes the conception \& evaluation phase for representing air traffic not only in 2D. The results show that a user-centered design approach is essential to involve end users as much as possible to avoid undesirable development. In end user interviews, ATCOs were very open to presented hardware and interaction techniques. The focus group with more concrete concepts then resulted in uncertainties especially regarding 3D representations of complex air traffic.}, booktitle = {Workshop {Vis} in {Practice} - {Visualization} {Solutions} in the {Wild}, {IEEE} {VIS} 2017}, publisher = {IEEE}, author = {Rottermanner, Gernot and Wagner, Markus and Settgast, Volker and Grantz, Volker and Iber, Michael and Kriegshaber, Ursula and Aigner, Wolfgang and Judmaier, Peter and Eggeling, Eva}, month = oct, year = {2017}, note = {Projekt: VAST}, keywords = {2017, Forschungsgruppe Digital Technologies, Forschungsgruppe Media Computing, Institut für Creative Media Technologies, Publikationstyp Schriftpublikation, User-Centered Design, air traffic control, peer-reviewed, safety critical environment}, } @inproceedings{wagner_integrating_2015, address = {Berlin}, title = {Integrating {Explicit} {Knowledge} in the {Visual} {Analytics} {Process}}, abstract = {In this paper, I describe my thesis project for the integration of explicit knowledge from domain experts into the visual analytics process. As base for the implementation of the research project, I will follow the nested model for visualization design and validation. Additionally, I use a problem-driven approach to study knowledge-assisted visualization systems for time-oriented data in the context of real world problems. At first, my research will focus on the IT-security domain where I analyze the needs of malware analysts to support them during their work. Therefore I have currently prepared a problem characterization and abstraction to understand the needs of the domain experts to gain more insight into their workflow. Based on that findings, I am currently working on the design and the implementation of a prototype. Next, I will evaluate these visual analytics methods and finally I will test the generalizability of the knowledgeassisted visual analytics methods in a second domain.}, booktitle = {Doctoral {Consortium} on {Computer} {Vision}, {Imaging} and {Computer} {Graphics} {Theory} and {Applications} ({DCVISIGRAPP} 2015)}, publisher = {SCITEPRESS Digital Library}, author = {Wagner, Markus}, month = mar, year = {2015}, note = {Projekt: KAVA-Time}, keywords = {2015, Department Medien und Digitale Technologien, Department Technologie, Forschungsgruppe Digital Technologies, Forschungsgruppe Media Computing, Institut für Creative Media Technologies, Publikationstyp Präsentation, Publikationstyp Schriftpublikation, best-lbwagnerm, peer-reviewed, visualization}, }