I NTERACTION : A NIMATION Presented by Chris Luce 1.

Slides:



Advertisements
Similar presentations
Cognitive Science Overview Animations / Simulations Video Games.
Advertisements

SVM—Support Vector Machines
Vrasidas C.(2002) Systematic approach for designing hypermedia environments for teaching and learning International Journal of Instructional Media.
ECE 720T5 Fall 2012 Cyber-Physical Systems Rodolfo Pellizzoni.
Image Information Retrieval Shaw-Ming Yang IST 497E 12/05/02.
Rolling the Dice: Multidimensional Visual Exploration using Scatterplot Matrix Navigation 1 Niklas Elmqvist | Purdue University Pierre Dragicevic | INRIA.
“Occlusion” Prepared by: Shreya Rawal 1. Extending Distortion Viewing from 2D to 3D S. Carpendale, D. J. Cowperthwaite and F. David Fracchia (1997) 2.
HDDVis: An Interactive Tool for High Dimensional Data Visualization by Mingyue Tan April 21st, 2004.
Video summarization by video structure analysis and graph optimization M. Phil 2 nd Term Presentation Lu Shi Dec 5, 2003.
A tale of two tools (NVSS and VisLink) Shreya Rawal 1.
1 SIMS 247: Information Visualization and Presentation Marti Hearst Animation.
Animation Presented by Sancho McCann. Animation Is animation useful? Why? Principles of animation Principles applied.
1 SIMS 247: Information Visualization and Presentation Marti Hearst Oct 5, 2005.
Teaching Multimedia. Multimedia is media that uses multiple forms of information content and information processing (e.g. text, audio, graphics, animation,
ShadyStats Final Report Mike Cora December 19, C: Information Visualization.
2D or 3D ? Presented by Xu Liu, Ming Luo. Is 3D always better than 2D? NO!
Software Visualization Space Filling Approach & Semantic Zooming Siva Venkatachalam 03/23/2004.
An Introduction to Software Visualization Dr. Jonathan I. Maletic Software DevelopMent Laboratory Department of Computer Science Kent State University.
IEEE TRANSACTIONS ON IMAGE PROCESSING, VOL. 20, NO. 11, NOVEMBER 2011 Qian Zhang, King Ngi Ngan Department of Electronic Engineering, the Chinese university.
I NTERACTION : C OLLABORATION Presented by Chris Luce 1.
Animation IS 247: Information Visualization and Presentation Saifon Obromsook Linda Harjono.
Copyright c 2006 Oxford University Press 1 Chapter 5 Building Group Communication Competence College students report— Ideal group member Competent communicator.
Presenter: Teng-Chih Yang Professor: Ming-Puu Chen Date: 10/ 28/ 2009 Data mining in course management systems: Moodle case study and tutorial Romero,
WPI Center for Research in Exploratory Data and Information Analysis From Data to Knowledge: Exploring Industrial, Scientific, and Commercial Databases.
©Ian Sommerville 2004Software Engineering, 7th edition. Chapter 10 Slide 1 Critical Systems Specification 3 Formal Specification.
E XPERIMENTAL D ESIGNS AND A N I NTRODUCTION TO THE T T EST A NALYSIS P ROCEDURE.
1 Visual Analysis of Large Heterogeneous Social Networks by Semantic and Structural Abstraction Zequian shen, Kwan-Liu Ma, Tina Eliassi-Rad Department.
Basic Web Design. Technology is a tool  FIRST, understand how people actually interact with each other and with the information in their lives, in all.
Ch. Eick: Support Vector Machines: The Main Ideas Reading Material Support Vector Machines: 1.Textbook 2. First 3 columns of Smola/Schönkopf article on.
1 Visual Query: Mao Lin Huang September 16, 2005.
Copyright © 2008 by Pearson Education, Inc. Upper Saddle River, New Jersey All rights reserved. John W. Creswell Educational Research: Planning,
Data Warehouse & Data Mining
ECE 720T5 Winter 2014 Cyber-Physical Systems Rodolfo Pellizzoni.
Generalization through a series of replicated experiments on maintainability Erik Arisholm.
Software Design Patterns for Information Visualization 薛乃榮 Q NCBCI LAB.
LECTURE 09: INTERACTION PT. 2: COST AND COLLABORATION April 1, 2015 COMP Topics in Visual Analytics Note: slide deck adapted from R. Chang.
S TACKING -B ASED V ISUALIZATION OF T RAJECTORY A TTRIBUTE D ATA IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS, DECEMBER 2012 Authors: 1.Christian.
Information Retrieval Evaluation and the Retrieval Process.
Group Sparse Coding Samy Bengio, Fernando Pereira, Yoram Singer, Dennis Strelow Google Mountain View, CA (NIPS2009) Presented by Miao Liu July
© Prentice Hall, 2008 Excellence in Business Communication, 8eChapter Writing Business Reports and Proposals.
A Meta-Study of Algorithm Visualization Effectiveness Christopher Hundhausen, Sarah Douglas, John Stasko Presented by David Burlinson 8/10/2015.
Multivariate Data Analysis Chapter 5 – Discrimination Analysis and Logistic Regression.
Interactive Visualizations for Biodiversity Information Bongshin Lee Researcher Visualization and Interaction Research Group Microsoft Research Bongshin.
Data Mining BY JEMINI ISLAM. Data Mining Outline: What is data mining? Why use data mining? How does data mining work The process of data mining Tools.
Human-Computer Interaction at CMU Jodi Forlizzi Jason Hong.
Reading of Electronic Documents: The Usability of Linear, Fisheye, and Overview+Detail Interface by Kasper Hornbæk, Erik Frøkjær Presented by Luhui Hu.
Dependency Networks for Collaborative Filtering and Data Visualization UAI-2000 발표 : 황규백.
A Novel Visualization Model for Web Search Results Nguyen T, and Zhang J IEEE Transactions on Visualization and Computer Graphics PAWS Meeting Presented.
Visualization Four groups Design pattern for information visualization
Bongshin Lee, Greg Smith, George Robertson, Mary Czerwinski, Desney Tan Computational User Experiences (CUE) Visualization and Interaction Research Group.
F ROM I MPRINTING TO A DAPTATION : B UILDING A H ISTORY OF A FFECTIVE I NTERACTION Written by Arnaud J. Blanchard & Lola Canamero Presented by James Bowden.
Visualizing the Cosmos: Smoke or Mirrors? Designing Visualization Imagery David Bock National Center for Supercomputing Applications University of Illinois,
Collaborative Filtering via Euclidean Embedding M. Khoshneshin and W. Street Proc. of ACM RecSys, pp , 2010.
Using decision trees to build an a framework for multivariate time- series classification 1 Present By Xiayi Kuang.
Visualization of Washing Powder Formulation ———seeking the best ingredients of washing powder.
Misconceptions About Real- Time Databases IEEE Computer Authors: John Stankovic, Sang Hyuk Son, Jorgen Hansson Presented By: Patti Kraker.
Animation CS 4390/5390 Data Visualization Shirley Moore, Instructor November 26,
Animation for instruction. Good reasons to use animation Showing processes Showing dynamic relationships in space or time Exploring objects or spaces.
Stanford hci group / cs376 u Jeffrey Heer · 19 May 2009 Speech & Multimodal Interfaces.
Lecture 09: Interaction pt. 2: Cost
Narrative Visualization: Telling Stories with Data
Real-Time Soft Shadows with Adaptive Light Source Sampling
Automatic Video Shot Detection from MPEG Bit Stream
Conjoint Analysis, Related Modeling, and Applications
Recommenders for Information Seeking Tasks: Lessons Learned
Database management concepts
Interaction Week 7 CPSC 533C, Spring 2003
CSc4730/6730 Scientific Visualization
COSC 4368 Machine Learning Organization
Information Analysis, Organization, and Presentation
Presentation transcript:

I NTERACTION : A NIMATION Presented by Chris Luce 1

A NIMATED T RANSITIONS IN S TATISTICAL D ATA G RAPHICS (J EFFREY H EER ) Switch between data graphics Keep readers oriented during transitions Understand relationships between the views 2

P ROS OF A NIMATED T RANSITIONS Stay oriented Facilitate learning Decision making Increase levels of engagement 3

C ONS OF A NIMATED T RANSITIONS No guarantee of improved performance Time and complexity Misleading Animations that violate underlying data semantics 4

T RANSITION T YPES IN S TATISTICAL D ATA G RAPHICS View Transformation Substrate Transformation Filtering Ordering Timestep Visualization Change Data Schema Change 5

6

D ESIGN C ONSIDERATIONS Congruence Maintain valid data graphics during transitions Use consistent semantic-syntactic mappings Respect semantic correspondence Avoid ambiguity 7

D ESIGN C ONSIDERATIONS Apprehension Group similar transitions Minimize occlusion Maximize predictability Use simple transitions Use staging for complex transitions Make transitions as long as need, but no longer 8

DynaVis (video) 9

E XPERIMENT 1: O BJECT T RACKING 10

E XPERIMENT 1: R ESULTS 11

E XPERIMENT 2: E STIMATING C HANGING V ALUES 12

E XPERIMENT 2: R ESULTS 13

S UBJECTIVE P REFERENCES 14

E FFECTIVENESS OF A NIMATION IN T REND V ISUALIZATION (G EORGE R OBERTSON ) Presenter knows what happens and tells audience what to look for Problem with analysis or data exploration Replay animation many times 15

A NIMATION V ISUALIZATION 16

Q UESTIONS ABOUT T REND V ISUALIZATION What effect does the dataset size have? Does the animation technique work for analysis? Are there alternatives that are more effective? 17

T RACES V ISUALIZATION 18

S MALL M ULTIPLES V ISUALIZATION 19

S TUDY R ESULTS Accuracy 20

S TUDY R ESULTS Task Completion Time Animation was fastest in Presentation and slowest in Analysis Traces and Small Multiples are both faster than Animation when used for Analysis 21

S TUDY R ESULTS Subjective Preferences 22

A NIMATION : CAN IT FACILITATE ? (B ARBARA T VERSKY ) Evaluate animation Compare: animation vs. static graphics 23

S ELECTIVE R EVIEW Incomparable content Incomparable procedures Failures of animation to benefit 24

W HY DO ANIMATIONS FAIL ? Animations may be hard to perceive Animations may be comprehended discretely Interactivity Caveats 25

R EFERENCES Jeffrey Heer, George Robertson. Animated Transitions in Statistical Data Graphics. IEEE Information Visualization (InfoVis) George Robertson, Roland Fernandez, Danyel Fisher, Bongshin Lee, John Stasko, "Effectiveness of Animation in Trend Visualization", IEEE Transactions on Visualization and Computer Graphics, (Paper presented at InfoVis '08), Vol. 14, No. 6, November/December 2008, pp Animation: Can It Facilitate? Barbara Tversky, Julie Morrison, Mireille Betrancourt. International Journal of Human Computer Studies 57:4, pp ,