Visualization for Debugging
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- Godfrey Lynch
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1 Visualization for Debugging Homework for Thursday April 5th: grade/feedback available on Submitty Progress Post #1: Depends on project... probably data collection Homework for Thursday April 12th: another forum post Progress Post #2: Using Visualization for Debugging Images: Preliminary output, Bloopers, etc. Designing & interpreting intermediate visualizations Friday April 13th: In-class work session (mandatory attendance) Have a specific item you want viewer/user feedback about (teams have 2 distinct items) Targeted demo of your project one-on-one to (at least) 5 classmates (teams split up) Give & receive specific (& possibly overall) feedback Homework for Thursday April 19th: Progress Post #3: Design of a formal user study Summarize the results of your pilot study (peer feedback) from Friday If you had unlimited time/money. How could you validate the effectiveness of your (completed) final project? Be specific!
2 IClicker: How to get an academic paper when you hit the publisher paywall? A. Give up. Read the other paper. B. Watch the video (hey, you weren t going to read it anyway) C. Use Google. Maybe some other university has this item on their reading list. D. Go to the author s webpage. Many/most conferences/journals allow the author to post a pre-print on their own site. E. Go to the library! RPI RensSearch has online access to many/most technical journals. And other materials via inter-library loan. You may need VPN off-campus and/or your RCS credentials. Ask if your company has a subscription or procedure to obtain $$ materials. F. Unpaywall, Open Access, ResearchGate, Library Genesis, Citationsy, Sci-Hub, Aaron Swartz... Other questionably-legal methods... Today s Class Today s Readings: DimpVis: Exploring Time-varying Information Visualizations by Direct Manipulation, Kondo and Collins, IEEE Visualization 2014 Visualization, Selection, and Analysis of Traffic Flows, Scheepens, Hurter, van de Wetering, van Wijk, IEEE InfoVis 2015 Readings for Next Tuesday Examples of Visualization for Debugging
3 DimpVis: DimP Information Visualization (DimP = Prior paper Video Browsing by Direct Manipulation ) Is this intuitive? Is this practical? Dynamic bar charts cool! No natural way to overlay the trajectory Time axis overlaps (left->right) with whatever (non time-based) data the horizontal axis represents
4 But is this intuitive way to interact? No natural direction to spatially overlay the trajectory Interaction Ambiguity What if data is not clearly headed in a direction? What if data has constant value for two or more timesteps? What if data returns in the direction it came from? What if there are multiple times that the bar graph is at value 500? Avoid/disambiguate: Temporal continuity enforced at cusps Fake loops can be traversed to change time, even if the object you are directly manipulating does not change. Nonintuitive? Does this work if the path has lots of overlaps/loops?
5 Related work Visualize trends/trajectories of multiple individual data points Keeps your focus on the data you are interested in (not distracted by spatially separate slider). Touch is preferable to mouse (which also separates user from data). somatic: affecting the body; corporeal or physical; the vertebrate nervous system that regulates voluntary movement Very game-like, fun to use Like playing connect the dots (but what if I want to go my own way?) Futuristic & forward thinking But mouse precision is so much better than fat finger Hard to understand interaction from static figures (despite lots of diagrams and overlays) Video was more clear Did you read the paper too or just watch the video? Small Multiples
6 Evaluation Quantitative evaluation compared to traditional time slider and small multiples mixed results, but better in some cases Measure performance (time & error rate) to complete tasks in reading & observing trend Spatial task When is the bar at height 3? vs. Temporal task In 1995, what is the height of the bar? Comparison When is A greater than B? Distribution When do both A & B decrease? Outliers When does A move in opposite direction to other points? Test cases for study Real data, but adjusted to ensure just 1 correct answer 3 techniques (DimpVis, slider bar, small multiples) x 2 visualizations (scatter plot, bar chart) Technique Comments/Concerns/Ideas Dragging along a path isn t that you have true control over where the object should go, you are constrained to follow its path DimP same as time slider, only more confusing since it the path bends in strange ambiguous ways seems like a gimmick Showing the paths of 1 or more data points forward & back in time seems helpful Instead of the path (directly manipulating) of a single point, can we show (control time via) the average path of multiple points? Instead of replacing a linear slider (so many other ways to do this) what about using this for a true 2D slider?
7 Additional features Traditional time slider why did they have to add this? DimP manipulation is nonintuitive/hard to control? Flexible rubber band (threshold for direct manipulation) Snap to discrete timepoint Fast forward (jump to time point with tap) Tasks removed from study because Not enough time Performing the task was frustratingly difficult during pilot study Set of clear hypotheses Use of statistical tests (ANOVA), judges for data set size whether the measured differences are significant or could probabilitistically just be noise (not significant) Their hypotheses partially supported or rejected by measurements Subjectively DimpVis was preferred! But Is this reproducible with another set of users?
8 Enhanced engagement with data Some misuse of tool (intuition/prior experience w/ other interfaces) Attempted 2 finger interaction Attempted to drag in opposite direction vertically Open Questions Scalability Great job removing outside factors from what was being tested Clearly listed hypotheses (# of hypotheses seemed low) Refreshing that they didn t just propose a visualization, they tested it thoroughly! temporal navigation felt like I was reading a paper on time travel Today s Class Today s Readings: DimpVis: Exploring Time-varying Information Visualizations by Direct Manipulation, Kondo and Collins, IEEE Visualization 2014 Visualization, Selection, and Analysis of Traffic Flows, Scheepens, Hurter, van de Wetering, van Wijk, IEEE InfoVis 2015 Readings for Next Tuesday Examples of Visualization for Debugging
9 Visualization, Selection, and Analysis of Traffic Flows, Scheepens, Hurter, van de Wetering, van Wijk, IEEE InfoVis 2015 Analyzing trajectories is important & special If you only look at current position, you re missing stuff You can extrapolate if you have position & velocity This paper is not about objects with un-predictable, non rule based movement (airplanes not animals or football players) Point data manually or automatically clustered into Voronoi cells. Discover/search/identify traffic flows Summarize/aggregate/annotate dynamics of a flow Explore/compare flows to each other Produce a visualization
10 Tried particles that move with actual or synthetic or constant speeds. Does it allow separation into different flows (higher altitude = closer to camera = faster) Our other papers this term: User Study of Novices vs this paper: Expert Feedback (2 controllers w/ 10 years experience at busy French airports!) Validate what they knew to be true Looked for and tried to understand outliers Experts thought that tool was useful for: Education/training of new controllers Studying air space tangle Complement to existing tools Communication, study statistics, forecast Applies to self-driving cars Experts are great! But are experts biased to like tools similar to ones they already have? Brushing Real velocity is distracting what? Use this visualization style to study packet routing protocols? Where is the video? I am apparently unable to use Google to find the video.
11 Learning Patterns of Activity Using Real-Time Tracking, Stauffer & Grimson, IEEE PAMI 2000 Today s Class Today s Readings: DimpVis: Exploring Time-varying Information Visualizations by Direct Manipulation, Kondo and Collins, IEEE Visualization 2014 Visualization, Selection, and Analysis of Traffic Flows, Scheepens, Hurter, van de Wetering, van Wijk, IEEE InfoVis 2015 Readings for Next Tuesday Examples of Visualization for Debugging
12 Optional: Makeup/Extra Credit Reading By make a post on the Makeup/Extra Credit Reading forum thread for any one of the papers from the term that you have not already posted about. Clearly indicate which paper you are posting about :) By Last regular reading due Choose one of the 3 following papers... Guidelines for Effective Usage of Text Highlighting Techniques, Strobelt, Oelke, Kwon, Schreck, Pfister, IEEE InfoVis 2015
13 Scatterplots: Tasks, Data, and Designs Sarikaya & Gleicher, InfoVis 2017 What Makes a Visualization Memorable?, Borkin, Vo, Bylinskii, Isola, Sunkavalli, Oliva, & Pfister, INFOVIS 2013.
14 Today s Class Today s Readings: DimpVis: Exploring Time-varying Information Visualizations by Direct Manipulation, Kondo and Collins, IEEE Visualization 2014 Visualization, Selection, and Analysis of Traffic Flows, Scheepens, Hurter, van de Wetering, van Wijk, IEEE InfoVis 2015 Readings for Next Tuesday Examples of Visualization for Debugging Advanced Debugging Applies to software development, and other sciences too! Debugging Level 1: Remove syntax errors in compilation Debugging Level 2: Produces an answer Debugging Level 3: Matches the output provided by the instructor Debugging Level 4: Hypothesize system behavior Develop & run experiments Collect data & analyze results Validate (or repeat process)
15 Do the # s match your intuition/hypotheses? Do you expect a positive correlation or a negative correlation? Can you improve even simple plots to allow the viewer to read(understand) information faster? Visual Debugging?
16 Ray Tracing Debug angle & direction of reflection, shadow, & refraction rays Solution: Draw the rays traced for a single pixel, use color for different ray types
17 Ray Tracing Debug angle & direction of reflection, shadow, & refraction rays Solution: Draw the rays traced for a single pixel, use color for different ray types Spatial Data Structures for Efficiency Primitives that overlap multiple cells? Insert into multiple cells For each cell along a ray Does the cell contain an intersection?
18 Traversing Spatial Data Structures Solution: Draw solid box for each visited cell Solution: Draw solid quad for each cross cell face Mesh Connectivity Maintain consistent orientation of triangles Visualize surface self-intersections Solution: Color the back side blue Maintain connectivity through local simplification and subdivision operations Solution: Color edges with only 1 triangle neighbor red
19 Watertight Model Construction Red = edge with only 1 triangle neighbor Yellow = edge with > 2 triangle neighbors (non manifold) Green = triangle with zero area Blue = triangle that is neighbor to a zero area triangle Mesh Simplification
20 Mesh Topology Neighborhood & local editing Lots of print statements: Triangle Triangle Triangle Triangle Triangle <etc.> 206: 207: 208: 209: 210: Solution: Draw by hand This graph drawing could be automated! How Tetrahedra Fill Volumetric Space Drawing (in 2D) didn t work Creating an OpenGL visualization didn t work (even with transparency) Solution: build lots of paper & tape models
21 Volumetric Exploration For developer or designer /modeler Fast interaction to understand sublayer details
22 To understand relationships and threshholds Projection Validate the projector world coordinate calibration Solution: Project the mesh from each projector, verify that the images closely align Surprisingly, this became one of our more popular demo s & this image made the RPI 2010 Research calendar
23 Visibility & Smooth Projection Occlusions & Projector Visibility Fade in/fade out for transitions Make sure the sum of all projectors = 1 Solution: Visualization the number of projectors each patch can see Solution: Visualize blending weights for each projector
24 4x4 Calibration Projection Matrices Sanity check position & direction of camera & each projector Understand distribution of calibration error Solution: Render all point samples in a common coordinate system
25 Fluid Dynamics Visualize grid cell face velocities Interpolate face velocities to create smoothly varying vector field How to visualize a 3D vector field? math6790/project2/report.html search_particles.html
26 Invest in Visualization for Debugging Your ideas?
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