Information Visualization In Practice
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1 Information Visualization In Practice How the principles of information visualization can be used in research and commercial systems Putting Information Visualization Into Practice A Common Problem There is too much information to represent all at once Providing all the details all at once is not useful (results overload) Context is lost when the details of a only subset of the information is shown.
2 Too Much Information To Show All At Once Another Example Of The Large Data Set Limited Display Space Problem : Games Dungeon Master (Java version) Applying the principles of information visualization 2
3 Too Much Information To Show All At Once Approaches to the problem: 1) Scrolling 2) Magnification 3) The DragMag 4) Transparent overlays 5) Overview and detail 6) Focus and context 7) Zooming 1) Scrolling From Image from Information Visualization by Robert Spence
4 2) Magnification: Inline Image from Information Visualization by Robert Spence 2) Magnification: Mutually Exclusive Icewind Dale Interplay productions
5 2) Magnification: Mutually Exclusive Icewind Dale Interplay productions 3) The DragMag Image from Information Visualization by Robert Spence
6 4) Transparent Overlays Image from Information Visualization by Robert Spence 4) Transparent Overlays Diablo Blizzard
7 5) Overview And Detail: Separate Images from Information Visualization by Robert Spence 5) Overview And Detail Defender Midway Home Entertainment Ltd.
8 6) Focus And Context Again the amount of the information is too large to display all at once. With this approach detailed view can still be viewed within its surrounding context. Leung and Apperly TOCHI 94 Approaches To Applying A Focus And Context View 1. Employ selective omission 2. Employ a fisheye view
9 The Fisheye Lens: Photography Image from: Fisheye View
10 Fisheye View: Visual Cues For The Distortion Distortion is understandable through the use of a grid and shading Table Lens
11 Focus And Context: Distortion In One Dimension Distortion in the X-dimension Image from Information Visualization by Robert Spence The Perspective Wall Mackinlay / Robertson / Card: Proc ACM CHI'91
12 Fisheye Menus Bederson, B.B. (May 2000) University of Maryland Focus And Context: Distortion In Two Dimensions Distortion in both the X and Y dimensions Images from Information Visualization by Robert Spence
13 Distortion In Two-Dimensions: A Calendar System Image from Information Visualization by Robert Spence DocumentLens Robertson / Mackinlay ACM UIST 1993
14 7) Zooming Pad++: A Zoomable Graphical Sketchpad for Exploring Alternate Interface Physics Bederson et al Journal of Visual Languages and Computing 7, 1996 Browsing of digital images html Visual Information-Seeking Mantra Overview first, zoom and filter, then details on demand Overview first, zoom and filter, then details on demand Overview first, zoom and filter, then details on demand Overview first, zoom and filter, then details on demand Overview first, zoom and filter, then details on demand Overview first, zoom and filter, then details on demand Overview first, zoom and filter, then details on demand Overview first, zoom and filter, then details on demand Overview first, zoom and filter, then details on demand Overview first, zoom and filter, then details on demand Ben Shneiderman, Designing the User Interface 3 rd Ed p523
15 Dynamic Queries: HomeFinder Shneiderman et al University of Maryland HomeFinder: The Details Start with an overview of the data Dynamic queries (rapid, incremental, reversible actions) All results are displayed instantly No search button Prevents errors Direct manipulation of Queries Query results Can be interacted with like real-world objects Details on Demand When the data set is small enough additional information can be provided
16 Starfield Display: FilmFinder Ahlberg, University of Maryland FilmFinder: The Details Filmfinder employs many of the principles employed in HomeFinder: Overview of the data Zoom and filter through - Dynamic queries - Direct manipulation Details on demand But with FilmFinder system there are additional concepts: Starfield display - The entire data base can be viewed and manipulated on one screen Tight coupling of interface components (to the state of the system)
17 A Student Project: HomeBay Dynamic Queries Radar Overview Progressive details on demand 481 Student Project (April, 2000) Rob Pearson, Kashama Willms and James Chisan Multiple Views Of A Large Data Set: PhotoFinder University of Maryland Human Computer Interaction Laboratory edu/hcil/
18 Representing Connectivity The problem of having large data set but limited display space must still be dealt with Also there is the additional problem of showing how things in a large data set relate e.g., How to show Internet connections between servers? Some issues: Occlusion of information Edge crossing Overwhelming quantity of edges Representing Phone Network Connections Images from Information Visualization by Robert Spence
19 Which Folder Has The Most Documents? right menu + properties Where Am I? Where Was I Going?
20 Cone Trees Robertson / Mackinlay / Card Cone Trees: Animated 3D Visualizations of Hierarchical Information. Proc ACM CHI'91 Hyperbolic Lens Demo: Xerox Parc/Inxight
21 Hyperbolic View Of A Disk Hierarchy Hyperbolic View Of The Web Demo:
22 What You Now Know Ways of dealing with the large data set but limited display space problem 1) Scrolling 2) Magnification 3) The DragMag 4) Transparent overlays 5) Overview and detail 6) Focus and context 7) Zooming The information seeking mantra and how it has been applied in the HomeFinder and FilmFinder systems Problems and some solutions when representing connectivity in large data sets Interface Design And Usability Engineering Goals: Articulate: Who (users) What (tasks) Brainstorm designs Refined designs Completed designs Methods: Task centered system design Participatory design Usercentered design Evaluate Psychology of everyday things (psych) User involvement (user) Representation & metaphors Participatory interaction Task scenario walkthrough Psych, User, Representations and metaphors Graphical screen design Interface guidelines Style guides Usability testing Heuristic evaluation Field testing low fidelity prototyping methods high fidelity prototyping methods Products: User and task descriptions Throw-away paper prototypes This diagram is a variation of the one presented by Saul Greenberg Testable prototypes Alpha/beta systems or complete specification
Information Visualization In Practice
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