Information Visualization:
Design for Interaction, 2nd edition
By Robert Spence
Pearson Education
Distributed By Trans-Atlantic Publications
December 2006
ISBN: 9780132065504
304 pages, Illustrated
$142.00 Paper Original
Description
Fully revised textbook on the rapidly growing field of Information Visualization. Its emphasis is on real-world examples and applications of computer-generated and interactive visualization. Information visualization deals with representing concepts and data in a meaningful way. Depending on the medium used, information can be visualized in either static (e.g. a graph on a printed page) or dynamic forms. This book is appropriate for courses in information visualization, human-computer interaction, interaction design, and computer graphics.
ContentsDedication
About the author
Other books by the author
Preface
AcknowledgementsChapter 1 What is Visualization?
Visualization
Computational support
The Human User
The value of Information Visualization
Fraud; silicon chips; pharmaceuticals
Questions of Taxonomy
Issues
References
ExercisesChapter 2 The Issues
The task
Nature of the problem
The data
Table presentation
Bargrams
Interactive object selection
Overview
Multiple attributes
Detail
Significant objects
Interactive attribute selection
Space limitations
Filtering
Taking stock
Navigational guidance
Movement in information space
Perception and interpretation
Summary
References
ExercisesChapter 3 Representation
Data types
Data complexity
Perception and Cognition3.1 Encoding of value
Univariate data
A single number; a collection of numbers
Bivariate data
Trivariate data
Scatterplot matrix
Preattentive processing- things that ‘pop out’; choice of encoding
Hypervariate data
Coordinate plots
Scatterplot matrix
Linked histograms
Mosaic plots
Icons
Object and Attribute Visibility3.2 Encoding of relation
Lines
Maps and diagrams
Venn diagrams
InfoCrystal
Cluster Maps
Tree representations
Cone tree
Tree maps
Hyperbolic browser
3.3 Support for design
References
ExercisesChapter 4 Presentation
A problem
The presentation issue4.1 Space limitations
Scrolling
Overview plus detail
Distortion
Application
Generalization
Suppression
Combined distortion and suppression
Historical note
Zoom and Pan4.2 Time limitations
Rapid Serial Visual Presentation
Briefly glimpsed images
Space and Time resources
Eye gaze
Presentation modes
Manual control
Models of human visual performance
Interaction design
References
ExercisesChapter 5 Interaction
Scenarios
Spaces, interactions and balance of control
This chapter5.1 Interaction Framework
5.2 Continuous interaction
Dynamically-triggered ‘pop-out’5.3 Stepped interaction
Discrete information spaces
Stages of action
Navigation
Sensitivity
Residue
Scent
Where am I?
Path breadcrumbs; Location breadcrumbs
Guidance for design5.4 Passive interaction
Static display
Browsing
Moving displays5.5 Composite interaction
Influences
The prosection5.6 Interaction dynamics
Mental models
Blindness
Change blindness; Inattentional blindness; Design to counteract blindness
Visual momentum5.7 Design for interaction
References
ExercisesChapter 6 Case studies
Design
The case studies6.1 Small interactive calendars
Planning your time
Design philosophy
Background
Calendar views
Interactive control
Search
Usability study
Observations
Satisfaction and preference
Usability6.2 Selecting one from many
The problem
The task
Existing solutions
Bargrams
Affordances
EZChooser
Sensitivity
Related work
Evaluation
Comment6.3 Web browsing through a keyhole
The problem
A solution
The RSVP Browser
System design
Evaluation
Discussion
Comment6.4 Communication analysis
Command and Control
System requirements
The MIND tool
Exploratory analysis
Scenario
Conclusion6.5 Archival galaxies
Large collections of documents
Background and requirements
Earlier work
Design decisions
Interaction and search
Layout
Evaluation
Exercises
Glossary
Video ClipsFeatures
§ First fully integrated 4-colour text in this field, using real-world examples and applications.
§ This is the only book to concentrate on interactive dynamic information visualization techniques.
§ Readers will learn how to display information to: pick out key information from large data streams; present ideas clearly and effectively; encourage data exploration and decision-making.
§ Clear writing style makes this a widely accessible, non-technical text needing no prior knowledge of mathematics, computing or statistics.
§ Companion Website.
§ Instructor resources including PowerPoint files with a wealth of images and diagrams taken from the book, and a collection of useful short video clips