1 / 39

Visual Query: Mao Lin Huang

Visual Query: Mao Lin Huang. September 16, 2005. Dynamic Queries. Selecting value ranges of variables via controls with real time feedback in the display. Principles: Visual presentation of query’s components Visual presentation of results

rob
Télécharger la présentation

Visual Query: Mao Lin Huang

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Visual Query: Mao Lin Huang September 16, 2005

  2. Dynamic Queries Selecting value ranges of variables via controls with real time feedback in the display • Principles: • Visual presentation of query’s components • Visual presentation of results • Rapid, incremental, and reversible control • Selection by pointing, not typing • Immediate and continuous feedback • Support browsing • Details on demand

  3. Dynamic Queries Tight coupling • Query components are interrelated in ways that preserve display invariants, reveal state of system • Output of queries can be easily used as input to produce other queries. Eliminate distinction between commands/queries/input and results/tables/output Example: Interactive Scatterplots • Multiple Names: Starfield, IVEE, Spotfire, HomeFinder

  4. Interaction with Scatterplots

  5. Interaction with Scatterplots

  6. Interaction with Scatterplots

  7. Example Devise: Jobs to Skill Matching

  8. Texture Query 800 Web Mall – A typical example of traditional texture product catalog for online e-business that provides buyers with a series of textual lists placed in separate pages for navigation. Each list in a page shows only one level of the product hierarchy.

  9. A framework of visual catalog

  10. Visual Query

  11. Home Finder: Text

  12. Home Finder: Map

  13. Examples DynaMapCervical cancer rates from 1950-1970 - modify year, state, demographics Slide adapted from Sarah Waterson

  14. Examples http://www.caida.org/tools/visualization/mapnet/Backbones/

  15. Animation • “Thequality or condition of being alive, active, spirited, or vigorous” (dictionary.com) • “A dynamic visual statement that evolves through movement or change in the display” • “… creating the illusion of change by rapidly displaying a series of single frames” (Roncarelli 1988). Slide by Saifon Obromsook & Linda Harjono

  16. We Use Animation to… • Tell stories / scenarios: cartoons • Illustrate dynamic process / simulation • Create a character / an agent • Navigate through virtual spaces • Draw attention • Delight Slide by Saifon Obromsook & Linda Harjono

  17. Animation Examples • Secret Lives of Numbers Viz • http://www.turbulence.org/Works/nums/applet.html

  18. Cartoons in UIs http://www.ok-cancel.com/archives/week_2004_02_06.html

  19. Cartoon-Style Animation • Main Reference • Chang & Unger, Animation: From Cartoons to the User Interface, UIST ’93 • Main ideas • Visual change in the interface can be sudden and unexpected • User can lose track of causal connection between events • Classic example: closing/opening windwos • This is now remedied via animation in standard windows interfaces • People have no trouble understanding transitions in animated cartoons • They grow and deform smoothly • They provide visual cues of what is happening before, during, and after a transition.

  20. Cartoon Animation in User Interface Design • User Cartooning Principles to Enhance Animations • Replace sudden transitions with smooth ones • Some Principles • Solidity (squash and stretch) • Motion blur • Dissolves • Arrival and departure (from off-screen) • Exaggeration • Don’t just mimic relatity • Anticipation • Follow through • Reinforcement • Slow in and slow out • Arcs • Follow through

  21. Cartoons vs. UIs • What is different? • UIs are interactive • Purpose: Fun vs. getting work done

  22. Application using Animation: Gnutellavision • Animated Exploration of Graphs with Radial Layout, Ka-Ping Yee, Danyel Fisher, Rachna Dhamija, Marti Hearst, in IEEE Infovis Symposium, San Deigo, CA, October 2001. • Visualization of Peer-to-Peer Network • Hosts (with color for status and size for number of files) • Nodes with closer network distance from focus on inner rings • Queries shown; can trace queries

  23. Layout - Illustration

  24. Animation in Gnutellavision Goal of animation is to help maintain context of nodes and general orientation of user during refocus • Transition Paths • Linear interpolation of polar coordinates • Node moves in arc not straight line • Moves along circle if not changing levels (like great circles on earth) • Spirals in or out to next ring

  25. Animation (continued) • Transition constraints • Orientation of transition to minimize rotational travel • (Move former parent away from new focus in same orientation) • Avoid cross-over of edges • (to allow users to keep track of which is which)   • Animation timing • Slow in Slow out timing (allows users to better track movement) • Small usability study • Participants preferred with animation for larger graphs

  26. Transition Constraint - Orientation

  27. Transition Constraint - Order

  28. Evaluating Animation in UIs Thomas and Demczuk, Evaluation of Animation Effects to Improve Indirect Manipulation, First Australasian User Interface Conference, January 31 - February 03, 2000 • Examining animation effects to provide visual cues to highlight information about changes that come about indirectly. • Direct manipulation: when there is a straightforward mapping from user actions to visible changes • Some changes have no obvious mapping or require too much precision • Problem: • Pre and post-positions of graphical objects during an indirect manipulation alignment problem.

  29. Thomas & Demczuk Study • Addressing two problems • Confusion caused by sudden visual change • Difficulty in predicting final result of a complex change • Figure 1: • Not obvious which objects in the top correspond to the ones below • Approach: • Cartooning animation techniques

  30. Thomas & Demczuk Study

  31. Thomas & Demczuk Study

  32. Thomas & Demczuk Study • Three new visual effects • “Telltale”: objects are animated as if one of the corners is begin dragged by a mouse while the remainder of the object stays behind • Shorter than earlier work; only 10% of its distance • Color: used to cue the original position of the graphical object • Wiggle: cue the original position of the object

  33. Thomas & Demczuk Study • Method: • Measure participants’ ability to remember the placement of the graphical objects • 4-8 objects moved after 5 seconds using one of: • Telltale • Color • Wiggle • No feedback • Participant then draws original positions • Hypotheses: • Animation & color cues will help P’s remember original positions compared to no feedback • P’s will prefer tasks with visual cues

  34. Thomas & Demczuk Study Results:

  35. Thomas & Demczuk Study • Results: • Animation cues helped task • P’s preferred animation cues • Negative response to the task with no cues

  36. Analying Animation in UIs • C. Gonzales, Does Animation In User Interfaces Improve Decision Making? CHI ’96 • Improve the definition of animation • “A series of varying images presented dynamically according to user actions in ways tha thelp the user to perceive a continuous change over time and develop a more appropriate mental model of the task.” • Literature Review • There is little theoretical or empirical work about how to design, use, and evaluation animation for UIs

  37. Analyzing Animation in UIs • C. Gonzales, Does Animation In User Interfaces Improve Decision Making? CHI ’96 • Improve the definition of animation • “A series of varying images presented dynamically according to user actions in ways tha thelp the user to perceive a continuous change over time and develop a more appropriate mental model of the task.” • Literature Review • There is little theoretical or empirical work about how to design, use, and evaluation animation for UIs

  38. Animation in Instruction • Morrison & Tversky • Julie B. Morrison, Barbara Tversky The (in)effectiveness of animation in instruction CHI ’01 extended abstracts. • Tversky, Morrison, and Betrancourt, Animation: can it facilitate? IJHCS 57, 247-262, 2001. • Found animation did not aid (nor harm) instruction • Potential reasons • Hard to perceive (too fast/complex) • May be comprehended discretely • Lacking appropriate interactivity • They point out that studies that show animation benefits often have extra info over the diagrams • My question: if the diagrams have everything the animations do, maybe they are just slow animations?

  39. Animation in Instruction • Stasko et al. • Did a series of studies on algorithm animation • Intially did not find effects either way • Changed the study • Kehoe, Colleen, Stasko, John and Taylor, Ashley, "Rethinking the Evaluation of Algorithm Animations as Learning Aids: An Observational Study", International Journal of Human-Computer Studies, Vol. 54, No. 2, February 2001, pp. 265-284 • From lab/exam-oriented to homework-oriented • Rich observations of how different tools were used together • Perhaps a more appropriate application of viz • For understanding of complicated steps in binomial heap algorithms • Positive results • Best when animation and explanation are simultaneous • Students need to be able to step through, control speed • Students were more accurate and enjoyed the work more with animation.

More Related