Why Text is Tricky to Visualize ... 'How much is that doggy in the window? ... 'doggy' implies childlike, plaintive, probably cannot do the purchasing on their own ' ...
A limited set of visual properties are processed preattentively (without need ... size Triesman & Gelade [1980] curvature Triesman & Gormican [1988] ...
SIMS 247 Lecture 3 Graphing Basics, Continued January 27, 1998 Today Finish graphing basics Demonstrate on web access example Discuss Tufte s Data Ink Maximization ...
SIMS 247: Information Visualization and Presentation Marti Hearst March 3, 2004 Today Discuss EDA assignment Infoviz Evaluations Role of Cognitive Abilities Studies ...
Information Visualization: Principles, Promise, and Pragmatics Marti Hearst CHI 2003 Tutorial Agenda Introduction Visual Principles Design Guidelines Using ...
Relative Expressiveness of Visual Cues. Visual Illusions. Tufte's notions. Graphical Excellence ... Illusions and the Relation to Graphical Integrity ...
Co-existence of local details with global context at reduced magnification. ... Distortion with continuous magnification functions are hard to apply the cutting ...
Title: Information Visualization: Principles, Promise, and Pragmatics Marti Hearst Last modified by: h Created Date: 7/19/2001 7:37:29 AM Document presentation format
The Polaris Framework ... Polaris Paper. Two nice examples of exploratory ... Tableau/Polaris is missing linking, which usually goes with brushing (it's high ...
Title: Information Visualization: Principles, Promise, and Pragmatics Marti Hearst Last modified by: hearst Created Date: 7/19/2001 7:37:29 AM Document presentation ...
Specific, not abstract. Can only be done after code is written. 24 ... This is why we talk about the time in terms of a function of n. In the ArrayMax example, ...
Just for Fun: The Daily Show. Graphing Practice. Basic Statistics in Graphing ... A Daily Show: Full Color Coverage ... of the trend, but don't show the actual ...
The Roles and Stages of Visualization (briefly) Data Models and Types of Data ... Animal Mammal Horse. 17. Which Types of Graphs for Which Kinds of Data? 18 ...
Mapping quantities into shapes does not work! 10 100. But using extent ... good for highlighting. Slope / Shape. no intrinsic meaning; good for contrast. 17 ...
Chang & Unger, Animation: From Cartoons to the User Interface, UIST '93. Main ideas ... People have no trouble understanding transitions in animated cartoons ...
... attentive Properties. Gestalt Properties. Relative ... A limited set of visual properties are processed preattentively ... Interpretations of Visual Properties ...
Summarizes the results of earlier psychological research on spatial aptitiude ... about the need for, and methods to obtain, highly motivated searchers in studies ...
... ordering of concepts (alphabetical) integration of browsing ... List more frequently ... Fruit Pineapple. Dessert Cake. Preparation Bake. Dessert ...
A limited set of visual properties are processed preattentively ... Classifying Visual Representations. Lohse, G L; Biolsi, K; Walker, N and H H Rueter, ...
... of vision to different lighting situations. Image aftereffects. Optical illusions. Ambiguous figures. Perception as Modeling the Environment. Evolutionary purpose ...
For: data that is both periodic and serial. Time students ... Multi-day races such as the Tour de France. Calendars arbitrarily wrap around at end of month ...
Most search Engines present search results as a ranked list ... Web crawler. Phase 2. Meta. File Generator. Inverted. Index. WWW. Web Pages. Meta Files. Text ...
CS188 Guest Lecture: Statistical Natural Language Processing Prof. Marti Hearst School of Information Management & Systems www.sims.berkeley.edu/~hearst
Designing Information Architecture for Search Tutorial: SIGIR 2001 Marti Hearst University of California, Berkeley www.sims.berkeley.edu/~hearst NSF CAREER Grant ...
Title: SIMS 202: Information Organization and Retrieval Author: hearst Last modified by: hearst Created Date: 8/26/1997 2:19:46 AM Document presentation format
Title: SIMS 290-2: Applied Natural Language Processing: Marti Hearst Last modified by: hearst Created Date: 7/19/2001 7:37:29 AM Document presentation format
Content or Graphics? An Empirical Analysis of Criteria for Award-Winning Websites Rashmi Sinha, Marti Hearst & Melody Ivory University of California, Berkeley
SIMS 247 Information Visualization and Presentation Marti Hearst March 15, 2002 Outline Why Text is Tough Visualizing Concept Spaces Clusters Category Hierarchies ...
Run (1) the verb. ( 2) the noun, in cricket. Cricket (1) The game. ( 2) The insect. ... A. Hearst, http://www.sims.berkeley.edu/~hearst/papers/acl99/acl99 ...
I256: Applied Natural Language Processing Marti Hearst Nov 1, 2006 (Most s originally by Barbara Rosario, modified here) Today Algorithms for Classification ...
Using the Web as an Implicit Training Set: Application to Structural Ambiguity Resolution Preslav Nakov and Marti Hearst Computer Science Division and SIMS
SIMS 213: User Interface Design & Development Marti Hearst Tues, Feb 17. 2004 Today Locus of Attention Errors Modes Raskin on Cognition Cognitive Engineering ...
Multiple Alignment of Citation Sentences with Conditional Random Fields and Posterior Decoding Ariel Schwartz, Anna Divoli, and Marti Hearst University of California ...
Education and Research at UC Berkeley s School of Information Prof. Marti Hearst Presentation to the International Conference on Informatics Education and Research ...