@inproceedings{rind_exploring_2016, title = {Exploring {Media} {Transparency} {With} {Multiple} {Views}}, url = {http://ceur-ws.org/Vol-1734/fmt-proceedings-2016-paper8.pdf}, abstract = {Politically concerned citizens and data journalists want to investigate money flows from government to media, which are documented as open government data on `media transparency´. This dataset can be characterized as a dynamic bipartite network with quantitative flows and a large number of vertices. Currently, there is no adequate visualization approach for data of this structure. We designed a visualization providing coordinated multiple views of aggregated attribute values as well as short tables of top sorted vertices that can be explored in detail by linked selection across multiple views. A derived attribute `trend allows selection of flows with increasing or decreasing volume. The design study concludes with directions for future work.}, urldate = {2016-11-30}, booktitle = {Proceedings of the 9th {Forum} {Media} {Technology} 2016}, publisher = {CEUR-WS.org}, author = {Rind, Alexander and Pfahler, David and Niederer, Christina and Aigner, Wolfgang}, editor = {Aigner, Wolfgang and Schmiedl, Grischa and Blumenstein, Kerstin and Zeppelzauer, Matthias}, year = {2016}, note = {Projekt: VALID}, keywords = {2016, Center for Artificial Intelligence, Department Medien und Digitale Technologien, Department Technologie, FH SP Data Analytics \& Visual Computing, Forschungsgruppe Media Computing, Institut für Creative Media Technologies, Media Computing Group, Publikationstyp Schriftpublikation, Time-Oriented Data, Wiss. Beitrag, data-driven journalism, dynamic graphs, open data, peer-reviewed, quantitative flow, ⛔ No DOI found}, pages = {65--73}, } @inproceedings{stoiber_knowledge-assisted_2019, address = {Vancouver, BC, Canada}, title = {Knowledge-assisted {Visual} {Analytics} meets {Guidance} and {Onboarding}}, booktitle = {{IEEE} {Application} {Spotlight}}, publisher = {IEEE}, author = {Stoiber, Christina and Wagner, Markus and Ceneda, Davide and Pohl, Margit and Gschwandtner, Theresia and Miksch, Silvia and Streit, Marc and Girardi, Dominic and Aigner, Wolfgang}, year = {2019}, note = {Projekt: VisOnFire}, keywords = {FH SP Data Analytics \& Visual Computing, Forschungsgruppe Digital Technologies, Forschungsgruppe Media Computing, Institut für Creative Media Technologies, Visual Computing, Vortrag, Workshop, best-cniederer, best-cstoiber, peer-reviewed, ⛔ No DOI found}, } @inproceedings{stoiber_visualization_2019, address = {Vancouver, BC, Canada}, title = {Visualization {Onboarding}: {Learning} {How} to {Read} and {Use} {Visualizations}}, url = {https://osf.io/c38ab/}, doi = {10/gh38zd}, booktitle = {{IEEE} {Workshop} on {Visualization} for {Communication}}, publisher = {IEEE}, author = {Stoiber, Christina and Grassinger, Florian and Pohl, Margit and Stitz, Holger and Streit, Marc and Aigner, Wolfgang}, year = {2019}, note = {Projekt: VisOnFire}, keywords = {FH SP Data Analytics \& Visual Computing, Forschungsgruppe Media Computing, Institut für Creative Media Technologies, Visual Computing, Vortrag, Wiss. Beitrag, best-cniederer, best-cstoiber, peer-reviewed}, } @inproceedings{oliveira_sambavis_2020, address = {Norrköping, Sweden}, title = {{SAMBAVis}: {Design} {Study} of a {Visual} {Analytics} {Tool} for the {Music} {Industry} {Powered} by {YouTube} {Comments}}, url = {https://doi.org/10/gjhw}, doi = {10/gjhw}, abstract = {Data from comments on social media platforms offer valuable information about trends and market changes. Aiming at the music industry, we propose SAMBAVis: a visual analytics tool to handle user-generated content from comments left on YouTube music videos. SAMBAVis displays main key performance indexes, video lifecycle, and engagement with comments. It also performs sentiment analysis and extracts the main keywords from the comments, expanding YouTube capabilities. In this paper, we contribute with a design study, explaining the development of SAMBAVis and the rationale of our design. We present a usage scenario and reflect on our methods and results when creating a visualization tool for experts in the music business.}, language = {en}, booktitle = {Eurovis 2020}, author = {Oliveira, Victor A. De J. and Stoiber, Christina and Grüblbauer, Johanna and Musik, Christoph and Ringot, Alexis and Gebesmair, Andreas}, year = {2020}, note = {Projekt: SAMBA}, keywords = {Data Science, Digital Media, Eintrag überprüfen, FH SP Data Analytics \& Visual Computing, Forschungsgruppe Media Business, Forschungsgruppe Media Computing, Green OA, Human-Computer Interaction, Institut für Creative Media Technologies, Open Access, Visual Computing, peer-reviewed}, } @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}, } @article{stoiber_netflower_2019, title = {netflower: {Dynamic} {Network} {Visualization} for {Data} {Journalists}}, volume = {38}, url = {https://phaidra.fhstp.ac.at/download/o:4838}, doi = {10/ghm4jz}, abstract = {Abstract Journalists need visual interfaces that cater to the exploratory nature of their investigative activities. In this paper, we report on a four-year design study with data journalists. The main result is netflower, a visual exploration tool that supports journalists in investigating quantitative flows in dynamic network data for story-finding. The visual metaphor is based on Sankey diagrams and has been extended to make it capable of processing large amounts of input data as well as network change over time. We followed a structured, iterative design process including requirement analysis and multiple design and prototyping iterations in close cooperation with journalists. To validate our concept and prototype, a workshop series and two diary studies were conducted with journalists. Our findings indicate that the prototype can be picked up quickly by journalists and valuable insights can be achieved in a few hours. The prototype can be accessed at: http://netflower.fhstp.ac.at/}, journal = {Computer Graphics Forum (EuroVis '19)}, author = {Stoiber, Christina and Rind, Alexander and Grassinger, Florian and Gutounig, Robert and Goldgruber, Eva and Sedlmair, Michael and Emrich, Stefan and Aigner, Wolfgang}, month = jun, year = {2019}, note = {Projekt: VALID Projekt: VisOnFire}, keywords = {FH SP Data Analytics \& Visual Computing, Forschungsgruppe Media Computing, Human-Computer Interaction, Institut für Creative Media Technologies, Visual Computing, Vortrag, Wiss. Beitrag, best, best-cniederer, best-cstoiber, best-fgrassinger, best-lbaigner, peer-reviewed}, } @inproceedings{blumenstein_touch_2014, address = {Glückstadt}, title = {Touch {Gestures} in {Mobile} {Web} {Browsers}}, booktitle = {Forum {Medientechnik} — {Next} {Generation}, {New} {Ideas}. {Beiträge} der {Tagung} 2014 an der {Fachhochschule} {St}. {Pölten}}, publisher = {Verlag Werner Hülsbusch, Fachverlag für Medientechnik und -wirtschaft}, author = {Blumenstein, Kerstin and Emberger, Michael and Enigl, Isabella and Gradl, Christian and Gringl, Lisa and Kräftner, Michael and Niederer, Christina and Novy, Francesco and Palic, Aleksandar and Schmiedl, Grischa and Zottl, Desirée}, year = {2014}, keywords = {Creative Industries, Department Medien und Digitale Technologien, Department Technologie, Forschungsgruppe Digital Technologies, Forschungsgruppe Media Computing, Institut für Creative Media Technologies, Publikationstyp Präsentation, Publikationstyp Schriftpublikation, mobile computing, peer-reviewed, ⛔ No DOI found}, } @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{niederer_multi-device_2016, address = {Lisbon, Portugal}, title = {Multi-{Device} {Visualisation} {Design} for {Climbing} {Self}-{Assessment}}, url = {http://mc.fhstp.ac.at/sites/default/files/publications/2016_IV_Climbing_Niederer.pdf}, abstract = {While quantified-self applications and wearable sensors for running, cycling or strength training are receiving broad interest from science and industry, little attention has been paid to the increasingly popular climbing sport, so far. To fill this gap, specialized wrist-worn sensor devices for tracking climbers have been developed recently. To support climbers and make the best of the available sensor data use possible, we designed a set of interactive visual interfaces which provide detailed insights into training data and support self-assessments of various aspects of the climbing technique. Our approach consists of a mobile web application to be used during the training and a desktop tool for presentation and analysis. In our design study we conducted semi-structured interviews with climbers, developed a scenario-based prototype in D3.js and evaluated our prototype. The initial interviews, a formative expert review and a summative usability study indicate the importance of providing manual input possibilities in addition to the automatically detected data and visualization techniques showing an overview of their training data. The findings of this design study provide an understanding of how climbers will interact with quantified-self applications and what the individual requirements for such a system are.}, booktitle = {Proceedings of {International} {Conference} on {Information} {Visualisation} ({IV16})}, publisher = {IEEE Computer Society Press}, author = {Niederer, Christina and Rind, Alexander and Aigner, Wolfgang}, year = {2016}, note = {Projekt: VALID}, keywords = {2016, Department Medien und Digitale Technologien, Department Technologie, Forschungsgruppe Media Computing, Institut für Creative Media Technologies, Publikationstyp Präsentation, Publikationstyp Schriftpublikation, best-cniederer, climbing, information visualization, multi-device, peer-reviewed, quantified-self, sport, ⛔ No DOI found}, pages = {171--176}, } @inproceedings{rind_contractvis_2018, title = {{ContractVis} {HighLighter}: the {Visual} {Assistant} for the {Fine} {Print}}, url = {http://mc.fhstp.ac.at/sites/default/files/publications/contractvis-highlighter-visual.pdf}, abstract = {Navigating and comprehending the legal text of web shops’ general terms and conditions is a burden for consumers. This poster abstract describes work-in-progress to design a visualization environment specifically addressing the needs of online shoppers. This environment highlights keywords of relevance (e.g., returning items), provides visual overview, and supports comparison of two texts.}, booktitle = {Proceedings of the {Posters} and {Demos} {Track} of the 14th {International} {Conference} on {Semantic} {Systems} - {SEMANTiCS2018}}, publisher = {CEUR-WS}, author = {Rind, Alexander and Grassinger, Florian and Kirchknopf, Armin and Stoiber, Christina and Özüyilmaz, Aslihan}, editor = {Khalili, Ali and Koutraki, Maria}, year = {2018}, note = {Projekt: ContractVis}, keywords = {FH SP Data Analytics \& Visual Computing, Forschungsgruppe Media Computing, Institut für Creative Media Technologies, Wiss. Beitrag, information visualization, peer-reviewed, personal context, text analytics, ⛔ 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}, } @inproceedings{niederer_visual_2016, address = {Vienna, Austria}, title = {Visual {Exploration} of {Media} {Transparency} for {Data} {Journalists}: {Problem} {Characterization} and {Abstraction}}, url = {http://mc.fhstp.ac.at/sites/default/files/publications/2016_FFH_VALiD_Niederer.pdf}, abstract = {Today, journalists increasingly deal with complex, large, and heterogenous datasets and, thus, face challenges in integration, wrangling, analysis, and reporting these data. Besides the lack of money, time, and skills influences their journalistic work. Information visualization and visual analytics offer possibilities to support data journalists. This paper contributes an overview of a possible characterization and abstraction of certain aspects of data-driven journalism in Austria. A case study was conducted based on the dataset of media transparency in Austria. We conducted four semi-structured interviews with Austrian data journalists, as well as an exploratory data analysis of the media transparency dataset. To categorize our findings we used Munzner´s analytical framework and the Data-User-Task Design Triangle by Miksch and Aigner (2014).}, booktitle = {Proceedings of the 10th {Forschungsforum} der österreichischen {Fachhochschulen}}, publisher = {FH des BFI Wien}, author = {Niederer, Christina and Rind, Alexander and Aigner, Wolfgang and Ausserhofer, Julian and Gutounig, Robert and Sedlmair, Michael}, year = {2016}, note = {Projekt: VALID}, keywords = {Department Medien und Digitale Technologien, Forschungsgruppe Media Computing, Institut für Creative Media Technologies, Publikationstyp Präsentation, Publikationstyp Schriftpublikation, User-Centered Design, Visual analytics, data-driven journalism, information visualization, interactive data exploration, peer-reviewed, user centered design, ⛔ No DOI found}, } @article{niederer_taco_2018, title = {{TACO}: {Visualizing} {Changes} in {Tables} {Over} {Time}}, volume = {24}, doi = {10/ghppzq}, abstract = {Multivariate, tabular data is one of the most common data structures used in many different domains. Over time, tables can undergo changes in both structure and content, which results in multiple versions of the same table. A challenging task when working with such derived tables is to understand what exactly has changed between versions in terms of additions/deletions, reorder, merge/split, and content changes. For textual data, a variety of commonplace "diff" tools exist that support the task of investigating changes between revisions of a text. Although there are some comparison tools which assist users in inspecting differences between multiple table instances, the resulting visualizations are often difficult to interpret or do not scale to large tables with thousands of rows and columns. To address these challenges, we developed TACO, an interactive comparison tool that visualizes effectively the differences between multiple tables at various levels of detail. With TACO we show (1) the aggregated differences between multiple table versions over time, (2) the aggregated changes between two selected table versions, and (3) detailed changes between the selection. To demonstrate the effectiveness of our approach, we show its application by means of two usage scenarios.}, number = {1}, journal = {IEEE Transactions on Visualization and Computer Graphics (InfoVis ’17)}, author = {Niederer, Christina and Stitz, Holger and Hourieh, Reem and Grassinger, Florian and Aigner, Wolfgang and Streit, Marc}, year = {2018}, note = {Projekt: VisOnFire}, keywords = {Center for Digital Health Innovation, FH SP Data Analytics \& Visual Computing, Forschungsgruppe Media Computing, Institut für Creative Media Technologies, Wiss. Beitrag, best, best-cniederer, best-cstoiber, best-lbaigner, peer-reviewed}, pages = {677--686}, } @inproceedings{gabler_diagram_2019, address = {Barcelona, Spain}, title = {Diagram {Safari}: {A} {Visualization} {Literacy} {Game} for {Young} {Children}}, doi = {10/gh377j}, booktitle = {Proceedings of {CHI} {PLAY} 2019}, publisher = {ACM Press}, author = {Gäbler, Johannes and Winkler, Christoph and Lengyel, Nóra and Wallner, Günter and Aigner, Wolfgang and Stoiber, Christina and Kriglstein, Simone}, year = {2019}, note = {Projekt: VisOnFire}, keywords = {FH SP Data Analytics \& Visual Computing, Forschungsgruppe Media Computing, Games, Human-Computer Interaction, Institut für Creative Media Technologies, Visual Computing, Vortrag, Wiss. Beitrag, peer-reviewed}, } @incollection{gutounig_datenjournalismus_2020, address = {Wiesbaden}, series = {In {Digitale} {Medientransformationen} / {Digital} {Media} {Transformations}. {Analysen} und {Praktiken} / {Analyses} and {Practices}}, title = {Datenjournalismus: {Die} {Transformation} journalistischer {Arbeitsabläufe} und {Produkte} durch {Visualisierung} und {Analyse} von {Daten}}, booktitle = {Springer {Gabler}}, author = {Gutounig, Robert and Radkohl, Sonja and Goldgruber, Eva and Stoiber, Christina}, year = {2020}, keywords = {Forschungsgruppe Media Computing, Institut für Creative Media Technologies}, } @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}, } @inproceedings{niederer_comic_2017, address = {St. Pölten}, title = {Comic {Experience}: {Narrative} \& {Collaborative} {Drawing} on a {Multi}-{Touch} {Table} in an {Art} {Museum}}, abstract = {Most art museums provide audio guides or, more recently, multi-media guides, with static context such as back- ground information to enrich their exhibits with an extra layer of content. Usually, there is no actual interaction with the museum’s exhibit possible, no hands-on experience that fosters a deeper cognitive engagement. The integration of multi-touch tables has a great potential for collaborative experiences. We designed a touch table application that allows for collaborative and active drawing experiences and conducted two usability studies, one in a laboratory setting and one in the field. The design study was structured in three phases: domain and problem analysis, user experience and interface design, and evaluation. The results show that the collaborative aspect – drawing on one picture simultaneously in different personal areas - was accepted and praised by the visitors. The study indicates that museums with mostly passive viewable artefacts can profit from interacitve and collaborative content, which enhances the general experience in their exhibitions.}, booktitle = {Proceedings of the 10th {Forum} {Media} {Technology} 2017}, publisher = {CEUR-WS}, author = {Niederer, Christina and Größbacher, Stefanie Grö{\textbackslash}s and Aigner, Wolfgang and Judmaier, Peter and Seidl, Markus}, month = nov, year = {2017}, note = {Projekt: VALID}, keywords = {2017, Center for Artificial Intelligence, Forschungsgruppe Media Computing, Institut für Creative Media Technologies, Publikationstyp Präsentation, Publikationstyp Schriftpublikation, peer-reviewed}, } @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}, } @inproceedings{seidl_multiscreen_2014, address = {Glückstadt}, title = {Multiscreen als {Mittel} gegen soziale {Isolation} älterer {Menschen} am {Beispiel} des benefit-{Projekts} {BRELOMATE}}, isbn = {978-3-86488-072-8}, abstract = {Der vorliegende Sammelband vereint 24 Beiträge, die 2014 beim Forum Medientechnik der FH St. Pölten präsentiert wurden. Die Auswahl verfolgt einen interdisziplinären Ansatz, der neue technologische Möglichkeiten mit kreativer Gestaltung verbindet und inhaltliche Ideen sowie wirtschaftliche Anforderungen berücksichtigt. Es wird die gesamte digitale Produktionskette von der Idee über die Konzeption und Produktion bis hin zur Distribution, Verwertung und Archivierung medialer Inhalte beleuchtet. Die vielfältigen Beiträge zeigen Anwendungen der aktuellen Technologie, beleuchten Potenziale der technologischen Veränderungen und steuern so interessante Ansätze zum fachspezifischen Diskurs bei.}, language = {Deutsch, Englisch}, booktitle = {Forum {Medientechnik} - {Next} {Generation}, {New} {Ideas}: {Beiträge} der {Tagung} 2014 an der {Fachhochschule} {St}. {Pölten}}, publisher = {vwh Verlag}, author = {Pflegerl, Johannes and Rottermanner, Gernot and Judmaier, Peter and Sommer, Sabine and Doppler, Jakob and Gruber, Wolfgang and Weißenböck, Josef and Schöffer, Lucas and Mayerhuber, Lukas and Gringl, Lisa and Niederer, Christine}, editor = {Seidl, Markus and Schmiedl, Grischa}, year = {2014}, note = {Projekt: BRELOMATE}, keywords = {2014, Brelomate, Creative Industries, Department Gesundheit und Soziales, Department Soziales, Department Technologie, Forschungsgruppe Digital Technologies, HCI, Ilse Arlt Institut, Institut für Creative Media Technologies, Publikationstyp Schriftpublikation, Q4/14, mobile computing, peer-reviewed, project\_brelomate, user centered design}, pages = {283--296}, } @inproceedings{niederer_survey_2015, address = {Rostock, Germany}, title = {Survey on {Visualizing} {Dynamic}, {Weighted}, and {Directed} {Graphs} in the {Context} of {Data}-{Driven} {Journalism}}, isbn = {978-3-8396-0960-6}, url = {http://mc.fhstp.ac.at/sites/default/files/publications/Niederer_et_al_2015_Survey_on_Visualizing_Dynamic%2C_Weighted%2C_and_Directed.pdf}, abstract = {Data journalists have to deal with complex heterogeneous data sources such as dynamic, directed, and weighted graphs. But there is a lack of suitable visualization tools for this specific domain and data structure. The aim of this paper is to give an overview of existing publications and web projects in this area by classifying the works in a systematic characterization that adapts existing characterizations for a focus on Data-Driven Journalism (DDJ). The survey highlights a lack of work in visualizing dynamic, directed, and weighted graphs, albeit individual aspects of dynamic graphs are well explored in the graph visualization literature. The results of this survey show that Sankey diagrams and chord diagrams occur frequently in web projects. A further popular method is the animated node-link diagram. The representation of a flow (directed and weighted) is typically illustrated as lines giving the direction of the relationship and width of lines showing the weight.}, booktitle = {Proceedings of the {International} {Summer} {School} on {Visual} {Computing}}, publisher = {Frauenhoferverlag}, author = {Niederer, Christina and Aigner, Wolfgang and Rind, Alexander}, editor = {Schulz, Hans-Jörg and Urban, Bodo and Freiherr von Lukas, Uwe}, month = aug, year = {2015}, note = {Projekt: VALID}, keywords = {2015, Department Medien und Digitale Technologien, Department Technologie, Forschungsgruppe Media Computing, Institut für Creative Media Technologies, Publikationstyp Präsentation, Publikationstyp Schriftpublikation, data-driven journalism, dynamic graphs, graph visualization, network, peer-reviewed, quantitative flow}, pages = {49--58}, }