Presentation is loading. Please wait.

Presentation is loading. Please wait.

ShadyStats Project Update Mike Cora November 16, 2005 533C: Information Visualization.

Similar presentations


Presentation on theme: "ShadyStats Project Update Mike Cora November 16, 2005 533C: Information Visualization."— Presentation transcript:

1 ShadyStats Project Update Mike Cora November 16, 2005 533C: Information Visualization

2 Background and Motivation Spent the last year developing the high-level AI for Super Mario Strikers (decisions and positioning) Coding, tuning and testing a video game’s AI involved gathering a lot of multidimensional statistics An interactive visualization can:  Show trends, and correlations, compare teams and difficulty levels  Help with finding bugs during development  Help with tuning a well balanced game  Aid communication with the publisher (across potential language barriers for example)

3 Target Users  Mostly me, greatly simplifying requirements gathering and evaluation..  Other AI and gameplay programmers  Designers and producers  Testers / QA

4 Dataset Generated by the upcoming Super Mario Strikers, a 5-on-5 arcade soccer game, starring all your favorite Nintendo characters.

5 Dataset Details  2400 games played by the AI, at 4 difficulty levels per side (home / away)  Recorded at 6 different dates over the last 2 months of development  14 dimensions (ie. passes, shots, hits, steals)  ~ 2400 games * 14 dim * 2 sides = 67,200 numbers

6 Proposal: ShadyStats 4 – Dynamic filtering3 – Zoomable, detailed graphs 1) Dataset history 2) Hierarchical parallel coordinates

7 Feature Goals 1) Maintain history of datasets for easy comparison during development lifecycle 2) Use XmdvTool 1 for parallel coordinates:  Hierarchical aggregation, with fancy shading  Extend with interactive drag reordering of dimensions 3) Generate detailed graphs on demand, using Zedgraph 2, by interacting with the parallel coordinates component

8 Feature Goals 2 4) In depth, dynamic filtering and highlighting options 5) Various statistical measures (mean, variance) 6) Highly interactive, tooltip information everywhere (data values, dimension names, etc). 7) Contextual zooming of individual graphs

9 Enviornment Platform is Windows Language changed from Java to C# & C++. Why?  XmdvTool 1 is written in C++  Zedgraph 2 is a C# control with full source, excellent customization, tutorials and documentation  C# and C++ are buddies, and play nice  C# is very UI friendly, fast develpment time  I have less (and outdated) experience with Java

10 Progress Compiled and poked through XmdvTool 1 :  Minor compilation issues with non-standard iostream.h  Uses OpenGL for rendering  Uses Tcl/Tk 6 for its UI, meaning the code is nicely setup for external interface, so isolating the parallel coordinate canvas and creating a C# interface around it should be doable  Very little implementation documentation

11 Progress 2 Compiled and poked through Zedgraph 2 :  Very customizable, with a tonne of graph styles and annotations  supports autoscaling, panning, zooming  Very well documented, with a tonne of sample code Created bare-bones skeleton UI layout in C# Read some papers on stuff [3][4][5]

12 Challenges Have never actually created a C# friendly control from C++ before, nor played with Managed C++. Isolating the parallel coordinate canvas from XmdvTool 1 may pose some challenges. Several areas will be ongoing challenges, and will be heavily iterated on, to maximize usage of the tool:  Good set of dynamic and interactive filters  High interactivity and linking between all components  Variety of visualizations and graphs for different dimensions

13 Bibliography 1) XmdvTool: http://davis.wpi.edu/~xmdv/http://davis.wpi.edu/~xmdv/ 2) Zedgraph: http://zedgraph.sourceforge.net/http://zedgraph.sourceforge.net/ 3) Edward J. Wegman. Hyperdimensional Data Analysis Using Parallel Coordinates, Journal of the American Statistical Association, Vol. 85, No. 411. (Sep., 1990), pp. 664-675. 4) Ying-Huey Fua, Matthew O. Ward, and Elke A. Rundensteiner, Hierarchical Parallel Coordinates for Visualizing Large Multivariate Data Sets, IEEE Visualization '99. 5) Jing Yang, Wei Peng, Matthew O. Ward and Elke A. Rundensteiner, Interactive Hierarchical Dimension Ordering, Spacing and Exploration of High Dimensional Datasets, Proc. InfoVis 2003. 6) John K. Ousterhout, Tcl and the Tk Toolkit, Addison Wesley,1994.


Download ppt "ShadyStats Project Update Mike Cora November 16, 2005 533C: Information Visualization."

Similar presentations


Ads by Google