19-03-2012, 04:55 PM
Information Visualization: the Other Half of Data Analysis
Information Visualization.ppt (Size: 1.72 MB / Downloads: 45)
What do we need to know to do Information Visualization?
Characteristics of data
Types, size, structure
Semantics, completeness, accuracy
Characteristics of user
Perceptual and cognitive abilities
Knowledge of domain, data, tasks, tools
Characteristics of graphical mappings
What are possibilities
Which convey data effectively and efficiently
Characteristics of interactions
Which support the tasks best
Which are easy to learn, use, remember
Issues Regarding Users
What graphical attributes do we perceive accurately?
What graphical attributes do we perceive quickly?
Which combinations of attributes are separable?
Coping with change blindness
How can visuals support the development of accurate mental models of the data?
Relative vs. absolute judgements – impact on tasks
Issues Regarding Mappings
Variables include shape, size, orientation, color, texture, opacity, position, motion….
Some of these have an order, others don’t
Some use up significant screen space
Sensitivity to occlusion
Domain customs/expectations