Visualization Techniques (Techniken der Visualisierung) WS'23/24
Vorlesung

News:     

• On the last lecture, (24.01.24) we will conduct the teaching evaluation (Lehrevaluation). Please come and participate! Your feedback helps us to improve the lecture.
  
• There is no lecture on the 29.11.23, we will resume on the 06.12.23 with the first round of presentations.
• The maximum amount of participants for this lecture has been reached, thus the registration is closed.       
  

• Teaching evaluation (Online Lehrevaluation) now open, please fill it under:

  https://umfragen.tu-bs.de/evasys/online.php?pswd=WXWTC
  
  

• The selection period for talks has concluded and all papers have been now assigned.
• Each student needs to give a short scientific presentation of 14 minutes (+ 3 minutes for questions) on the assigned paper. The presentations should be in English, and can use any desired template. For your convinience, we offer the ICG slides template (but its use is not compulsory).
• For a more interesting discussion, the students should take a look at the papers that will be presented in each session (see the Agenda section).

• Selection of topic for the talk starts on:  09.11.2023 (09:00 am), and will finish on the 20.11.2021 (09:00 am). First come, first serve, mails before/after these dates will be ignored. Please send a list of 3 papers in order of preference (please indicate their ID, e.g., #32). The list of available topics (and their IDs) will be periodically updated to show which ones are still free.
• Selection of topic for the talk will finish on the 20.11.2023 (09:00 am). First come, first serve, mails after this date will be ignored. Please send a list of 3 papers in order of preference (please indicate their ID, e.g., #32). The list of available topics (and their IDs) will be periodically updated to show which ones are still free.
• When reserving a topic, please also indicate 3 days in order of preference for your day of presentation (6^th and 20^th of December, 17^th and 24^th January) and we will try to keep it in consideration when arranging the order of the talks.
  
• You are welcome to propose your own relevant topic, please send an e-Mail with your proposal (including the link to the corresponding paper).
• All e-Mails should be sent to: tdv@cg.cs.tu-bs.de

• For those students for whom the lecture is offered as a 5-credits course, they need to turn in a 10-page write-up on their selected paper including additional background. The  deadline to submit the report is the 07.02.2024  (23:59). Submission shall be done via email to tdv@cg.cs.tu-bs.de.

• When reserving a topic, please also indicate 3 days in order of preference for your day of presentation (6^th, 13^th, 20^th of December, 10^th, 17^th, 24^th January) and we will try to keep it in consideration when arranging the order of the talks.

• Selection of topic for the talk from: 17.11.2021. First come, first serve - the available topics will be published here on the 10.11.2021.
  E-Mail to propose different relevant topics (can be done from the 03.11.2021): tdv@cg.cs.tu-bs.de

   

Notes:                  

• This lecture is included in the Digital Literacy Certificate (Digital Literacy Zertifikat).

• This lecture does not use studIP. Please register to attend the lecture using the registration form on our website (https://www.cg.cs.tu-bs.de/teaching/students). This way we can notify you of any current changes. This registration is informal and does not replace the official examination registration at the respective examination office (if required for your course of studies).

• In order to ensure a smooth course development, we would like to ask you to informally register as soon as possible by sending us an e-mail to tdv@cg.cs.tu-bs.de indicating you name, surname, matriculation number, course of studies (Studiengang), pursued degree (BSc or MSc) and contact e-mail.
  

  If you encounter any problems, please send an email to tdv@cg.cs.tu-bs.de.

• The lecture will be conducted in English.

• Lecture starts on the 25.10.2023

Description:

Photos, drawings, maps, diagrams, pictograms, cartoons, text, formulas, PowerPoint presentations...: Our sense of sight is the most important information input channel into our consciousness. Whether representational or abstract information, a suitable form of visualization enables us to grasp the meaning of information faster and more fundamentally than, for example, when we just hear the information.

The lecture will explore the background of information visualization from the perspective of computer science, psychology, neuroscience, and art. We will deal with questions like

• What is information?
• What forms of information exist?
• How does visual information enter our consciousness?
• How can information be visualized?
• What forms of visualization are there?
• What is attention?
• How is attention aroused visually?
• How is visual information stored in the brain?

The course is explicitly aimed at students of ALL disciplines and is also offered as a key qualification in the lecture pool "interdisciplinary qualification".

Additionally, the participants of this lecture will be given the opportunity to obtain a certificate for their acquisition of skills in the areas of media, information and digital transformation: the Digital Literacy Certificate (Digital Literacy Zertifikat). For more informating, please refer to  https://www.tu-braunschweig.de/digital-literacy-zertifikat, or this document.

Place and time:

• Every Wednesday from 11:30 to 13:00
• Room IZ 161 (Lecture is exclusively conducted in presence)
  
• Online: https://webconf.tu-bs.de/sus-eno-nhc-sd2
• Lecture period: 23rd October 2023 - 10th February 2024
• Begin: 25.10.2023

Contents:

• History of Visualization
• Visualization from the point of view of information theory
• Aspects of visual perception psychology
• Visualization and cognition
• Techniques for the representation of information
• Interactive visualization techniques

Administrative formalities:

• Duration: 2 SWS
• Credit points: 3  (3 LPe, Studienleistung)
• Examination modality: Presentation
• In order to obtain the course credits, each participant must prepare and give a short scientific presentation of around 12-14 minutes in length on one of the suggested papers. Please not that each presentation session consists of 5 papers and the times have been calculated accordingly, i.e., for an optimal of 14 minutes talk plus 3 minutes questions. Please adjust to those times as any delay will result in running over the time of your colleagues or into a longer session. Own suggestions for topics are also welcome! (please send the corresponding article in electronic form to the contact mail tdv@cg.cs.tu-bs.de). Topics will be assigned in November.
• Attendance of at least 50% of the sessions is required to acquire the study credit points.
• Additionally, for those students for whom the lecture is offered as a 5-credits course, they need to turn in a 10-page write-up on their selected paper including additional background.

Prerequisites:

• Interest in perception and the human visual system

Recommended Literature:

• Ward, Grinstein, and Keim. Interactive Data Visualization, AK Peters, 2010.
• Ware. Information Visualization, Elsevier, 2012.
• Munzner. Visualization Analysis and Design, AK Peters Visualization Series, CRC Press, 2014

Topics:

To be announced

• Treisman, "Preattentive Processing in Vision",1985 - Paper ID #01
• Tufte, "Color and Information",1990, pp 81-95 - Paper ID #02
• Tufte, "Micro / Macro Readings",1990, pp 37-52 - Paper ID #03
• Tufte, "Escaping Flatland",1990, pp 11-35 - Paper ID #04
• Tufte, "Narratives of Space and Time",1990, pp 97-120 - Paper ID #05
• Rogowitz et al., "How NOT to Lie with Visualization", 1996 - Paper ID #06
• Rheingans, "Task-based Color Scale Design", 1999 - Paper ID #07
• Matzen et al. "Data visualization saliency model", 2017 - Paper ID #08
• Rayner et al., "So Much to Read, So Little Time: How Do We Read, and Can Speed Reading Help?", 2016 - Paper ID #09
• Szafir, "Modeling Color Difference for Visualization Design", 2017 - PaperID #10
• Schneiderman, "The Eyes Have It: A Task by Data Type Taxonomy for Information Visualizations", 1996 - PaperID #11
• Friedman and Tukey, "A Projection Pursuit Algorithm for Exploratory Data Analysis",1974 -PaperID #12
• Inselberg and Dimsdale, "Parallel Coordinates: A Tool for Visualizing Multi-Dimensional Geometry", 1990 - PaperID #13
• Wilkinson, "Graph-Theoretic Scagnostics", 1995 - PaperID #14
• Cioca and Nerisanu, "Enhancing Creativity: Using Visual Mnemonic Devices in the Teaching Process to Develop Creativity in Students", 2020 -PaperID #15
• Stone, "Choosing Colors for Data Visualization", 2006 - PaperID #16
• Rosenholtz, "What your visual system sees where you are not looking", 2011 - PaperID #17
• Holten, "Hierarchical Edge Bundles: Visualization of Adjacency Relations in Hierarchical Data", 2006 - PaperID #18
• Borland and Taylor, "Rainbow Color Map (Still) Considered Harmful", 2007 - PaperID #19
• Zeileis et al., "Escaping RGBland: Selecting colors for statistical graphics", 2009 - PaperID #20
• Livingstone and Hubel, "Segregation of Form, Color, Movement, and Depth: Anatomy, Physiology, and Perception", 1988 - PaperID #21
• Zeileis and Hornik, "Choosing Color Palettes for Statistical Graphics", 2006 - PaperID #22
• Ware, "Color sequences for univariate maps: theory, experiments and principles", 1988 - PaperID #23
• Kleffner and Ramachandran, "On the perception of shape from shading", 1992 - PaperID #24
• Friendly et al., "A brief history of data visualization", 2008 - PaperID #25
• Cleveland and McGill, "A Color-Caused Optical Illusion on a Statistical Graph", 1983 - PaperID #26
• Barrett et al., "Perceptual Measures For Effective Visualizations", 2002 - PaperID #27
• Pandey et al., "The Persuasive Power of Data Visualization", 2014 - PaperID #28
• Teutscher et al., "Interactive Scientific Visualization of Fluid Flow Simulation Data Using AR Technology- OpenVisFlow", 2022 - PaperID #29
• Bondarev and Galaktionov, "Current Visualization Trends in CFD Problems", 2014 - PaperID #30
• Born et al., "Stent maps – Comparative visualization for the prediction of adverse events of transcatheter aortic valve implantations", 2014 - PaperID #31
• Patchett et al., "Visualization and Analysis of Threats from Asteroid Ocean Impacts", 2016 - PaperID #32
• Axelsson et al., "Dynamic Scene Graph: Enabling Scaling, Positioning and Navigation in the Universe", 2017 - PaperID #33
• Rhyne., "Computer games' influence on scientific and information visualization", 2000 - PaperID #34
• Blascheck and Ertl, "Towards Analyzing Eye Tracking Data for Evaluating Interactive Visualization Systems", 2014 - PaperID #35
• Judd et al., "Learning to predict where humans look", 2009 - PaperID #36
• Schmitz et al., "Interactive Segmentation of Textured Point Clouds", 2022 - PaperID #37
• Ehgartner et al., "Visualizing the Movement of Space-Defining Rotatable Elements in Architecture", 2022 - PaperID #38
• Pu et al., "Datamations: Animated Explanations of Data Analysis Pipelines", 2021 - PaperID #39
• Bender et al., "Honeycomb Plots: Visual Enhancements for Hexagonal Maps", 2022 - PaperID #40
• Wisessing et al., "Perception of lighting and shading for animated virtual characters", 2016 - PaperID #41
• Brinkman et al., "Visualizing mental representations in schizophrenia patients: A reverse correlation approach ", 2019 - PaperID #42
• Moore, "Data Visualization in support of Executive Decision Making", 2017 - PaperID #43
• Kosara, "Presentation-Oriented Visualization Techniques", 2016 - PaperID #44
• Koval & Jansen, "Do You See What You Mean? Using Predictive Visualizations to Reduce Optimism in Duration Estimates", 2022 - PaperID #45
• Wang et al., "DRAVA: Aligning Human Concepts with Machine Learning Latent Dimensions for the Visual Exploration of Small Multiples", 2023 - PaperID #46
• Ahn et al., "ESCAPE: Countering Systematic Errors from Machine’s Blind Spots via Interactive Visual Analysis", 2023 - PaperID #47
• Lisnic et al., "Misleading Beyond Visual Tricks: How People Actually Lie with Charts", 2023 - PaperID #48
• Burns et al., "Who Do We Mean When We Talk About Visualization Novices?", 2023 - PaperID #49
• Gutwin et al., "Showing Flow: Comparing Usability of Chord and Sankey Diagrams", 2023 - PaperID #50
• Lu et al., "Interactive Context-Preserving Color Highlighting for Multiclass Scatterplots", 2023 - PaperID #51
• Yang et al., "How Can Deep Neural Networks Aid Visualization Perception Research?", 2023 - PaperID #52
• Tseng et al., "Measuring Categorical Perception in Color-Coded Scatterplots", 2023 - PaperID #53
• Zhao et al., "Graphical Perception of Saliency-based Model Explanations", 2023 - PaperID #54
• Zeng et al., "A Review and Collation of Graphical Perception Knowledge for Visualization Recommendation", 2023 - PaperID #55
• Vieth et al.,"Interactions for Seamlessly Coupled Exploration of High-Dimensional Images and Hierarchical Embeddings", 2023 - PaperID #56
• Opitz et al.,"Perceptually Guided Automatic Parameter Optimization for Interactive Visualization", 2023 - PaperID #57
• Farokhmanesh et al.,"Neural Fields for Interactive Visualization of Statistical Dependencies in 3D Simulation Ensembles", 2023 - PaperID #58
• Krause et al.,"Visually Analyzing Topic Change Points in Temporal Text Collections", 2023 - PaperID #59
• Graniczkowska et al.,"Factors Influencing Visual Comparison of Colored Directed Acyclic Graphs ", 2023 - PaperID #60
• Yang and Pajarola,"Visual-assisted Outlier Preservation for Scatterplot Sampling", 2023 - PaperID #61

Own Topics 2021/2022

• Gillmann et al., "Ten Open Challenges in Medical Visualization", 2021 - PaperID #23
• Uma et al., "Data Visualization and Prediction using Candlesticks Chart for Open Government DataSet", 2019 and do Prado al., "On the effectiveness of candlestick chart analysis for the Brazilian stock market ", 2013  - PaperID #24

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Agenda: