Information for visual communication science, knowledge management and problems

Information Visualization

Representing data visually so users
can gain insights from abstract data. For example, the use of dashboards or
scatter plots.

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Uses of Information Visualization

·      
Presentation

Representing
data can make hard concepts and the relationship between their aspects easier to
understand.

·      
Explorative Analysis

Taking
a broad look at patterns and understand the relationship between data.

 

Knowledge
Visualization

Knowledge
visualization is a field of study, that investigates the power of visual
formats to represent knowledge. It aims at supporting cognitive processes in generating,
representing, structuring retrieving sharing and using knowledge.

Differences and Similarities

Information
and Knowledge Visualization are based on the abilities of the human perception
system, which is able to process visual representations very effectively, but
the content and the process of the respective discipline differ. The limitations
of Information Visualization in contrast to Knowledge Visualization are the
very strict focus on computer-based visualizations. Non-computer based
visualizations (like sketches) and knowledge types, which cannot be put into a
digital carrier (like a database), are ignored.

 

 

 

 

 

 

 

 

 

 

 

 

 

Aspect

Information
visualization

Knowledge
visualization

Goal

Users
computer supported applications on large amounts of data to get new insights

Uses
visual representation to improve the transfer and the creation of knowledge

Benefit

Improves information
access, retrieval and exploration of large data sets

Augments knowledge
intensive processes

Content

Explicit
data like facts and numbers; complex information structures

Knowledge
types like experiences, insights, instructions or assumptions; social
structures, relationship between knowledge and a human actor

Recipients

Individuals

Individuals or groups to
transfer and collaborative settings to create knowledge

Influence

New
insights for information science, data mining, data analysis, information
exploration and problems such as information exploration, information
retrieval, human computer interaction, interface design

New
insights for visual communication science, knowledge management and problems
such as knowledge exploration, transfer, creation, application, information
overload, learning, design, interface design, visual communication

Proponents

Researcher with background
in computer science

Researcher with
background in knowledge management, psychology, design, architecture

Means

Uses
computer supported methods

Uses
computer supported and non-computer supported visualization methods

 

 

TYPES OF KNOWLEDGE VISUALIZATION

1.    Sketch

Sketches
are simple drawings that help to visualize the key features and the main idea
very quickly. They are relatively old since already Leonardo da Vinci used them
to visualize his insights and investigations.

 

 

2.    Diagram

Diagrams
are abstract, schematic representations that are used to display, explore and
explain relationships. They reduce complexity, make abstract concepts
accessible and amplify cognition. Unlike sketches they are precise and
determined. Examples for diagrams are bar- and pie charts, Gantt-, Fenn- or
process diagrams.

 

 

 

3.    Map

Maps or
plans are in the architectural context used to present entities on a different
scale and to bring three-dimensional objects into a two-dimensional
visualization. Maps present overview and detail at the same time, help to
structure information, motivate and activate employees, establish a common
story and ease access to information.

 

4.    Images

Images
can be renderings, photographs or paintings that may represent the reality but
can also be artistic. They are able to address emotions and can inspire,
motivate or energize the audience and thus often used for advertisements.