Introduction Bára Kozlíková, Vítek Rusňák PA214 Visualization II / Lecture #1 Who are we? • Bára Kozlíková o Head of visitlab, research in visualization, namely in biochemistry, criminology, geology, … • Vítek Rusňák o HCI/Vis researcher at the MUNI Cybersecurity Team, research in user interfaces, visual analytics in cybersecurity and gamification 2 What to expect? • Successor of PV251 – Visualization course • We are expecting that you know the basic principles of visualizations • Visualization II more focused on research in visualizations 3 What to expect? • Lectures about diverse research fields and topics in visualization • Medical visualization, molecular visualization, visual data science, AI explainability, visualization & machine learning, user studies, … • Many (invited) speakers • TU Wien • Wolftech Broadcast Solutions AS, Bergen • MU 4 What is expected from you? • Attend lectures • Mandatory attendance (up to 2 excuses) • Attend seminars • Select a topic of interest and work on your project for the whole semester • You can work individually or in groups • Each seminar, there will be a task for you and homework • Each task will be “awarded“ by points. Based on these, you will get the final grade for the course. • Enjoy :) 5 Topic for today … • Why is visualization important • Why is research in visualizations exciting 6 https://princetonlibrary.org/event/data-visualization-with-javascript-part- 3/ Motivation • TED talk of David McCandless: Introduction to Data Visualization • Visualization Basics - Introduction to Data Visualization - Research Guides at Florida Institute of Technology • Hans Rosling: GapMinder • Hans Rosling's 200 Countries, 200 Years, 4 Minutes - The Joy of Stats - BBC Four 7 Three main fields in visualization • Scientific visualization (SciVis) • Information visualization (InfoVis) • Visual analytics (VAST = Visual Analytics Science and Technology) 8 Scientific Visualization • Producing graphics representations of scientific phenomena • Graphic representation is used for understanding, interpretation. • It may guide the direction of the research in the correspondingfield. 9 Scientific Visualization – Areas • Many fields: • Medical visualization • Molecular visualization • Flow visualization • Volumetric visualization • … 10 Scientific Visualization Pipeline 11 What is the core topic … • The focus of the pipeline is the application of SciVistechniques to create a renderable geometric model of the data 12 Data Representation in SciVis • The studied phenomenon is usually modelled by measurements at a discrete set of points in space • Representational samples of the underlying mathematical function governing that phenomenon • Mesh or topology associated with the data • Explicit or implicit definition of points 13 SciVis Techniques • Spatial phenomena • Scalar data – slice planes, isosurfaces, glyphs, volumes • Vector data – hedgehog, streaklines, ribbons 14 SciVis Software Packages 15 http://www.bu.edu/tech/support/research/training-consulting/online-tutorials/introduction-to-scientific-visualization-tutorial/software-packages/ Other Resources • Anders Ynnerman: OpenSpace – Visualizing the Universe • https://vimeo.com/169967499 • Anders Ynnerman et al.: Interactive visualization of 3D scanned mummies at public venues • https://dl.acm.org/doi/10.1145/2950040 16 Information Visualization • Main focus on representing data in an easily understandable way, supported by intuitive interaction • The most common uses of InfoVis are: • Presentation • Explorative analysis • Confirmation analysis 17 Presentation 18 Explorative Analysis 19 Confirmation Analysis 20 Other Resources • https://informationisbeautiful.net/ • https://informationisbeautiful.net/visualizations/what-makes-a- good-data-visualization/ • Jeffrey Heer: https://www.youtube.com/watch?v=hsfWtPH2kDg • Ben Shneiderman: https://www.youtube.com/watch?v=X1EPxT9EP5c 21 VAST • Analytical reasoning supported by interactive visual interfaces • Designing advanced visual interfaces 22https://www.visual-analytics.eu/faq/ VAST Scope 23https://visual-analytics.eu/2009/12/visual-analytics-scope-and-challenges/ Examples 24 https://www.researchgate.net/figure/Visual-analytics-in-action-Visual-support-for- the-simulation-of-climate-models_fig1_277007765 Examples 25 https://www.softwareadvice.com/bi/sas-visual-analytics-profile/ Other Resources • Tamara Munzner: https://www.youtube.com/watch?v=xUbhRu2f8e4 26 Where to publish the visualization research outcomes … • International conferences: IEEE VIS, EG EuroVis, IEEE PacificVis, … • Smaller specialized venues: EG VCBM • Journals: IEEE TVCG, Computer Graphics Forum, … 27 What are the possible paper types … • http://ieeevis.org/ 28 We hope you’ll like the course … • Questions and requests: • kozlikova@fi.muni.cz • rusnak@ics.muni.cz 29