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A Shot at Visual Vulnerability Analysis Ethan Kerzner 1 Lee A. Butler 2 Charles Hansen 1 Miriah Meyer 1 1 University of Utah 2 US Army Research Laboratory.

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Presentation on theme: "A Shot at Visual Vulnerability Analysis Ethan Kerzner 1 Lee A. Butler 2 Charles Hansen 1 Miriah Meyer 1 1 University of Utah 2 US Army Research Laboratory."— Presentation transcript:

1 A Shot at Visual Vulnerability Analysis Ethan Kerzner 1 Lee A. Butler 2 Charles Hansen 1 Miriah Meyer 1 1 University of Utah 2 US Army Research Laboratory

2 Ballistic vulnerability analysis 2

3 3 [Aberdeen Test Center]

4 4 Physically - based simulations 3 D geometry mobility engine_system transmission_system valve spark_plug … … … Functionality

5 Challenges Remote collaboration Sensitive data ‐Simplified test data Large organization [SIBB10] ‐Highly specialized individuals ‐Decentralized authority 5

6 Contributions 6 1.Data abstraction and task analysis for vulnerability analysis 2.Shotviewer, a prototype visualization tool 3.Strategy of view-design parallelism for multityped data 4.Recommendations for working with large organizations

7 Contributions 1.Data abstraction and task analysis for vulnerability analysis 2.Shotviewer, a prototype visualization tool 3.Strategy of view-design parallelism for multityped data 4.Recommendations for working with large organizations 7 Recommendations are marked with ℛ

8 Multityped data and tasks Collaborators, methods, data, and tasks 8

9 9 Producers Analysts Consumers Target users: three ballistic analysts Other collaborators: ‐Three engineers producing simulation inputs ‐One evaluator consuming analysts’ results Collaborators

10 10 Producers Analysts Consumers Target users: three ballistic analysts Other collaborators: ‐Three engineers producing simulation inputs ‐One evaluator consuming analysts’ results Collaborators ℛ 1 Sample the relevant data pipeline

11 Semi-structured interviews Site visit: ‐Visualization awareness workshops [KS11] ‐Contextual inquiry [WFB96] 11 Vis awareness samples Methods Images: [JS91, MMH*13, KERC09, DGH03]

12 Data abstraction 12 mobility engine_system transmission_system valve_assembly spark_plug … … … Shotline Dependency graph 3 D geometry

13 13 mobility engine_system transmission_system valve_assembly spark_plug … … … Shotline Dependency graph 3 D geometry

14 14 mobility engine_system transmission_system valve_assembly spark_plug … … … Shotline Dependency graph 3 D geometry

15 15 mobility engine_system transmission_system valve_assembly spark_plug … … … Shotline Dependency graph 3 D geometry

16 16 Simulation output

17 17 Simulation output *Not responsible for colormap *

18 18 Simulation output

19 19 Simulation output

20 20 Task analysis 20 1.Understand a shot’s spatial context 2.Understand a shot’s degradation and damage 3.Understand a shot’s systemic impact

21 Shotviewer’s design Methods, example usage, and validation 21

22 22 Sketches and low fidelity prototypes Interactive prototypes Parallel and participatory design

23 23 Sketches and low fidelity prototypes Interactive prototypes Parallel and participatory design ℛ 2 Recognize test data is not real data

24 24 ℛ 3 Automate everything ℛ 4 Budget time for data transition

25 Example usage 25

26 Shotviewer 26

27 Shot spatial context 35

28 Shot degradation and damage 28

29 Shot systemic impact 29

30 Shotviewer 30

31 31 See paper for validation: ‐User feedback ‐Case studies See paper for validation: ‐User feedback ‐Case studies Shotviewer

32 View-design parallelism Problem and strategy 32

33 33 SepJanMaySep Initial understanding View-design parallelism

34 34 SepJanMaySep Initial understanding Shotline view View-design parallelism

35 35 SepJanMaySep Initial understanding Shotline view System view Two view prototype View-design parallelism

36 36 SepJanMaySep Initial understanding Shotline view System view Two view prototype Geometry view Final prototype View-design parallelism

37 37 SepJanMaySep Initial understanding Shotline view System view Two view prototype Geometry view Final prototype Build linked views in order of: ‐Availability ‐Usefulness ‐Impact ‐Time Build linked views in order of: ‐Availability ‐Usefulness ‐Impact ‐Time View-design parallelism

38 Conclusion 38 Data abstraction and task analysis for vulnerability analysis Shotviewer, a prototype visualization tool Strategy of view-design parallelism for multityped data Recommendations for working with large organizations

39 A Shot at Visual Vulnerability Analysis http://www.ethankerzner.com/projects/shotviewer kerzner@sci.utah.edu

40 Cell plot legend 40

41 Cell plot legend 41


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